WTSolutions Blog| Programmatic Intelligent Solutions | Excel-JSON Conversion Tools/API/MCP | Engineering Design Automation | Geospatial Image Processing |2026-04-27T05:43:29.730Zhttps://blog.wtsolutions.cn/WTSolutionsHexoJSON-to-Excel Local App Released: Secure Offline Conversion, Zero Data Leakagehttps://blog.wtsolutions.cn/json-to-excel-local-app-secure-offline-conversion-en/2026-04-27T02:00:00.000Z2026-04-27T05:43:29.730ZExciting Release: JSON-to-Excel Local App
WTSolutions is pleased to announce the launch of the JSON-to-Excel Local App, a desktop application that runs without an internet connection, providing users with a more secure and convenient solution for converting JSON to Excel.
Core Advantages: Security and Privacy Protection
Completely Offline Operation
The biggest advantage of the local app is its completely offline operation. All data processing is performed on your local computer, eliminating the need to upload sensitive data to any server. This means:
Zero data leakage risk: Your JSON data never leaves your device
Protection of business secrets: More secure when processing JSON files containing sensitive information
No network dependency: Works normally even in environments without network connection
Faster processing speed: Local processing avoids network transmission delays
Multiple Data Loading Methods
The local app supports two data loading methods:
Copy and Paste: Directly paste JSON data into the application interface
File Loading: Supports batch loading of up to 20 JSON files for one-time processing of multiple files
Powerful Conversion Features
Two Conversion Modes
Flat JSON Mode: Suitable for simple JSON objects, each property is directly converted to an Excel column
Nested JSON Mode: Suitable for JSON with nested structures, automatically flattens nested properties
Flexible Nested Processing
Multiple delimiter options: Supports dot(.), underscore(_), double underscore(__), and forward slash(/) as delimiters for nested properties
Customizable depth: Can set the maximum depth for nested processing (1-20 levels or unlimited)
Support for Multiple Data Types
Strings, numbers, booleans, null values
Arrays: Converted to string format
Objects: Converted to strings in Flat mode, flattened in Nested mode
The JSON-to-Excel Local App provides a secure and efficient solution for users who need to process sensitive data. By running completely offline, it ensures that data never leaves your device while providing powerful conversion features to meet various JSON conversion needs.
Download and experience this secure and reliable local app today, making JSON to Excel conversion simpler and safer!
This post was originally published on 2026-04-27 at WTSolutions Blog. View the original article here.
This post was originally published on 2026-04-27 at WTSolutions Blog. View the original article here.
]]><h2 id="重磅发布：JSON-to-Excel-本地化应用"><a href="#重磅发布：JSON-to-Excel-本地化应用" class="headerlink" title="重磅发布：JSON-to-ExcelExcel-to-JSON Local App - Secure Offline Excel to JSON Conversionhttps://blog.wtsolutions.cn/excel-to-json-local-app-secure-offline-conversion-en/2026-04-25T02:00:00.000Z2026-04-25T10:58:58.724ZWe are excited to announce that Excel-to-JSON by WTSolutions now offers a Local App version! This new product allows you to convert Excel data to JSON directly on your local computer, without requiring an internet connection.
Why Choose the Local App?
🔒 Complete Data Security
Your data never leaves your computer. Unlike web-based solutions where your Excel data is uploaded to servers for processing, the Local App processes everything locally. This means:
No data transmission - Your sensitive business data stays on your machine
No server storage - Nothing is stored on cloud servers
Complete privacy - Perfect for confidential business reports, personal data, or any information you don’t want to share online
🌐 Works Offline
The Local App operates completely offline. Whether you’re on a flight, in a remote location without internet access, or simply prefer not to be connected, the Local App has you covered.
⚡ Fast Performance
Since all processing happens locally on your computer, you get fast and responsive performance without any network latency.
The Excel-to-JSON Local App is perfect for users who prioritize data security, need to work offline, or simply prefer local processing of their data. With the same powerful conversion features as our web-based solutions, the Local App offers a secure and convenient way to convert Excel to JSON.
This post was originally published on 2026-04-25 at WTSolutions Blog. View the original article here.
]]><p>We are excited to announce that <strong>Excel-to-JSON by WTSolutions</strong> now offers a <strong>Local App</strong> version! This newExcel-to-JSON本地化应用 - 安全离线的Excel转JSON解决方案https://blog.wtsolutions.cn/excel-to-json-local-app-secure-offline-conversion-zh/2026-04-25T02:00:00.000Z2026-04-25T10:58:52.903Z我们激动地宣布，Excel-to-JSON by WTSolutions 现已推出本地化应用！这款新产品让您可以直接在本地电脑上转换Excel数据为JSON格式，无需连接互联网。
This post was originally published on 2026-04-03 at WTSolutions Blog. View the original article here.
]]><h1 id="PDF-to-Image-PDF-一款强大的PDF转换工具"><a href="#PDF-to-Image-PDF-一款强大的PDF转换工具" class="headerlink" title="PDF-to-Image-PDF -PDF-to-Image-PDF - A Powerful PDF Conversion Toolhttps://blog.wtsolutions.cn/PDF-to-Image-PDF-intro-en/2026-04-02T16:00:00.000Z2026-04-03T03:06:29.777ZWhat is PDF-to-Image-PDF?
PDF-to-Image-PDF is a cross-platform desktop application specifically designed for converting PDF files to images or image-based PDF files, with support for adding watermarks. This tool uses local processing, requiring no internet connection and no data upload to servers, ensuring the security and privacy of user data.
Core Features
PDF-to-Image-PDF offers the following core features:
PDF to Images：Convert PDF files to one image per page
PDF to Image-based PDF：Convert PDF to image-based PDF files
Text Watermark Support：Add text watermarks to converted files
Adjustable DPI Settings：Control image quality and file size by adjusting DPI
Real-time Conversion Progress Display：Intuitively show the conversion process
Automatic Saving：Automatically save to the same directory as the original file
File Safety：Only generate new files, do not overwrite existing files
How It Works
The workflow of PDF-to-Image-PDF is as follows:
User selects PDF files
Set output parameters and watermark options
Render PDF pages to images
Synthesize images into a new PDF file
Add watermarks to new PDF file (if any)
Save to the same directory as the original file
User preview the generated PDF
Version Comparison
PDF-to-Image-PDF adopts a Free + Pro pricing model to meet the needs of different users.
Download Links
Users can choose the appropriate version according to their operating system:
PDF-to-Image-PDF is a powerful, secure and reliable PDF conversion tool that provides users with simple and efficient PDF processing solutions. Both individual users and enterprise users can benefit from it.
This post was originally published on 2026-04-03 at WTSolutions Blog. View the original article here.
]]><h2 id="What-is-PDF-to-Image-PDF"><a href="#What-is-PDF-to-Image-PDF" class="headerlink" title="What is PDF-to-Image-PDF?"></a>What isPDF-to-Image-PDF的实际应用场景 - 从企业到个人的全面解决方案https://blog.wtsolutions.cn/PDF-to-Image-PDF-practical-applications-cn/2026-04-02T16:00:00.000Z2026-04-03T03:07:08.408ZPDF-to-Image-PDF作为一款功能强大的PDF转换工具，不仅提供了PDF转图片和PDF转图片版PDF的功能，还支持添加水印保护。本文将详细介绍PDF-to-Image-PDF在不同行业和场景中的实际应用，展示其广泛的适用性和实用价值。
This post was originally published on 2026-04-03 at WTSolutions Blog. View the original article here.
]]><p>PDF-to-Image-PDF是一款强大的PDF转换工具，不仅可以将PDF文件转换为基于图片的PDF，还可以将PDF直接转换为图片文件。本文将详细介绍如何使用PDF-to-Image-PDF进行PDF转图片操作。</p>
<h2 id="一、下载与安装"><aPDF to Image PDF - 一款强大的PDF转换工具- PDF转图片，PDF转图片版PDFhttps://blog.wtsolutions.cn/pdf-to-image-pdf-intro_zh/2026-04-01T01:01:00.000Z2026-04-02T12:17:30.296Z产品简介
PDF to Image PDF 是一款功能强大的桌面应用程序，专门用于将PDF文件转换为图片或图片版PDF，同时支持添加水印功能。这款工具基于Electron开发，支持Windows和Mac操作系统，为用户提供了简单直观的界面和高效的转换能力。
This post was originally published on 2026-04-01 at WTSolutions Blog. View the original article here.
]]><h2 id="产品简介"><a href="#产品简介" class="headerlink" title="产品简介"></a>产品简介</h2><p><strong>PDF to Image PDF</strong>PDF to Image PDF - A Powerful PDF Conversion Toolhttps://blog.wtsolutions.cn/pdf-to-image-pdf-intro_en/2026-04-01T01:00:00.000Z2026-04-02T12:16:52.862ZProduct Introduction
PDF to Image PDF is a powerful desktop application designed specifically for converting PDF files to images or image-based PDF files, with built-in watermarking functionality. Based on Electron, this tool supports both Windows and Mac operating systems, providing users with an intuitive interface and efficient conversion capabilities.
Core Features
1. PDF to Images
Convert each page of a PDF file to high-quality image files, supporting multiple DPI settings to meet different scenario requirements.
2. PDF to Image-based PDF
Convert PDF files to fully image-based PDF files, preserving the visual effects of the original document while enhancing document security and compatibility.
3. Watermarking Functionality
Support for custom watermark text
Adjustable watermark opacity
Watermark automatically centered and rotated 45 degrees
Ideal for protecting document copyright or adding identification information
4. Multiple DPI Settings
72 DPI (screen display)
150 DPI (low quality)
300 DPI (standard quality)
600 DPI (high quality)
5. Real-time Conversion Progress
During the conversion process, real-time conversion progress and detailed logs are displayed, allowing users to stay informed about the conversion status at all times.
6. Batch Processing
The professional version supports batch processing of multiple PDF files, improving work efficiency.
Version Comparison
Feature
Free Version
Professional Version
File Quantity
1 file
Unlimited
Conversion Pages
First 6 pages
Unlimited
Watermark Function
✓
✓
DPI Settings
✓
✓
Output Format Selection
✓
✓
Batch Processing
✗
✓
Priority Support
✗
✓
Use Cases
1. Document Protection
Convert sensitive PDFs to image-based PDFs to prevent others from copying or editing content, enhancing document security.
2. Copyright Protection
Add watermarks to documents to include copyright information and prevent unauthorized use.
3. Compatibility Processing
Convert complex format PDFs to image-based PDFs to ensure correct display on any device, solving format compatibility issues.
4. High-quality Image Extraction
Extract high-quality images from PDFs for other purposes, such as creating presentations, reports, etc.
5. Batch Document Processing
The professional version supports batch processing of multiple PDF files, suitable for businesses and individual users who need to process large volumes of documents.
Technical Features
Cross-platform Compatibility: Supports Windows and Mac operating systems
High Performance: Uses PDF.js for PDF rendering, providing fast conversion speed and high quality
User-friendly: Clean and intuitive interface design, easy to operate
Secure and Reliable: Local processing, no cloud uploads, protecting user privacy
Lightweight: Optimized packaged files, small footprint, smooth operation
How to Use
Download and Install: Download and install the application from the official website
Select Files: Click the “Select Files” button to choose the PDF files you want to convert
Set Parameters: Select output format, DPI settings, and watermark options
Start Conversion: Click the “Start Conversion” button and wait for the process to complete
View Results: After conversion, the system will automatically open the output folder
Frequently Asked Questions
Q: What’s the difference between the free version and the professional version?
A: The free version limits processing to 1 file at a time and only the first 6 pages; the professional version has no limits and supports batch processing.
Q: Where are the converted files saved?
A: Converted files are saved in the same folder as the original files.
Q: What output formats are supported?
A: Supports generating image-based PDF and generating only images.
Q: What are the limitations for watermark text?
A: Watermark text only supports English and numbers, not Chinese.
Conclusion
PDF to Image PDF is a powerful and easy-to-use PDF conversion tool that provides convenient PDF processing experiences for both individual and business users. By converting PDFs to images or image-based PDFs, users can better protect document content and improve document compatibility and security.
Download and experience it now to make PDF processing simpler and more efficient!
This post was originally published on 2026-04-01 at WTSolutions Blog. View the original article here.
]]><h2 id="Product-Introduction"><a href="#Product-Introduction" class="headerlink" title="Product Introduction"></a>ProductMap Your Memories A Guide to the WTSolutions Images to Google Earth Ovi Maps Toolhttps://blog.wtsolutions.cn/Map-your-memories-a-guide-to-wtsolutions-images-to-google-earth-ovi-maps/2026-03-28T01:00:00.000Z2026-03-28T04:01:04.189ZThis blog post introduces the Images to Google Earth/Ovi Maps web application by WTSolutions, a specialized tool for photographers, travelers, and GIS professionals.
Have you ever looked at a collection of travel photos and wished you could see exactly where each one was taken on a 3D globe? While most smartphones and cameras automatically embed GPS coordinates into photos (EXIF data), visualizing that data can be a challenge.
The Images to Google Earth/Ovi Maps web app by WTSolutions bridges this gap. It allows you to transform your geotagged photos into interactive map layers for Google Earth and Ovi Maps (奥维地图) in just a few clicks.
What is Images to Google Earth/Ovi Maps?
This web application is a privacy-first, browser-based tool designed to extract GPS metadata from your images and package them into a KMZ file. When you open this KMZ file in mapping software like Google Earth, your photos appear as placemarks exactly where they were captured.
Key Features
Local Processing for Privacy: One of the standout features is that your photos are never uploaded to a server. All EXIF analysis and KMZ generation happen locally in your browser. This ensures your private photos and location history remain on your device.
Cross-Platform Compatibility: Since it runs in the browser, it works seamlessly across Windows, Mac, Linux, iOS, and Android.
Batch Processing: You don’t have to process photos one by one. You can drag and drop a whole folder of images to create a unified map layer.
Customizable Icons: You can choose how your photos appear on the map—using default pins, camera icons, or custom circles.
Ovi Maps Support: Specifically optimized for Ovi Maps (a popular choice for professional outdoor mapping), allowing you to link local file paths for offline viewing.
Data Export: For those who need raw data, the tool can export all extracted GPS information into a CSV file, compatible with Excel or Google Sheets.
How It Works: A Step-by-Step Guide
Using the tool is straightforward, even if you aren’t a GIS expert:
Configure Settings: Choose your target map (Google Earth or Ovi Maps) and select your preferred icon style.
Upload (Locally): Drag and drop your photos into the designated area. The tool will instantly parse the GPS coordinates.
Generate & Download: Click the button to generate your KMZ file.
Visualize: Open the downloaded file in Google Earth. You can now click on the icons to see a pop-up window containing the photo and its specific coordinates.
Real-World Applications
Travel Blogging: Create a dynamic map of your journey to share with followers or keep as a personal digital diary.
Geological & Ecological Surveys: Researchers can document field findings with photographic evidence pinned to precise coordinates.
Real Estate & Construction: Professionals can track project progress across different sites and visualize them on a regional map.
Insurance & Law Enforcement: Easily organize site photos for evidence or claims, ensuring the “where” and “when” are undeniable.
Advanced Features
For power users, WTSolutions offers a Pro version (activated via a feature code) which unlocks:
Unlimited Batching: Remove the 6-photo limit for a single KMZ file.
Custom Scaling: Adjust the display size of photo thumbnails (from 20 to 3000 pixels).
GeoJSON Export: Export data in GeoJSON format for use in advanced web mapping applications.
Conclusion
The Images to Google Earth/Ovi Maps tool is a lightweight yet powerful solution for anyone looking to unlock the geographical potential of their photo library. By keeping the processing local and the interface simple, it’s one of the most accessible ways to turn a folder of pictures into a professional-grade geospatial visualization.
This post was originally published on 2026-03-28 at WTSolutions Blog. View the original article here.
]]><p>This blog post introduces the <strong>Images to Google Earth/Ovi Maps</strong> web application by WTSolutions, a specialized toolHow I Finally Stopped Copy-Pasting My Life Away (A Sheet-to-Doc Review)https://blog.wtsolutions.cn/sheet-to-doc-stop-copy-paste/2026-03-27T10:30:00.000Z2026-03-28T01:15:42.982ZWe’ve all been there. It’s 4:00 PM on a Friday, and your boss drops a spreadsheet with 50 rows of data. The task? “Just pop these into the standard contract template and send them over.”
In the past, that meant a soul-crushing hour of: Open Template -> Copy Name from Excel -> Paste into Word -> Copy Address -> Paste -> Save As -> Repeat.
I recently discovered a web tool called Sheet-to-Doc, and honestly? It felt like finding a cheat code for my job. If you handle any kind of repetitive paperwork, here is why this tool is a permanent bookmark in my browser.
The “Aha!” Moment: It Works Like Magic
The setup was surprisingly simple. I didn’t have to download some sketchy .exe file or sign up for a monthly subscription just to try it.
I took my Word document and replaced the blank lines with “tags” in curly brackets, like {Customer_Name} and {Total_Price}. Then, I just copied my data straight out of Excel and pasted it into the Sheet-to-Doc website.
I hit the “Generate” button, and within seconds, my browser downloaded a zip file. Inside? 50 perfectly formatted Word documents, each named correctly. I was done before my coffee got cold.
Three Things I Loved as a Non-Techie
1. The “No-Upload” Peace of Mind
I work with client contracts, so privacy is a huge deal. Usually, I’m terrified of “online converters” because you don’t know where that data goes. Sheet-to-Doc is different—it processes everything locally. My client’s info stayed on my computer; the website just provided the engine to build the files. That’s a massive win for security.
2. The Smart Naming Feature
This was the clincher for me. Usually, when you batch-generate files, they all come out named Document(1), Document(2). This tool let me set a rule: Contract_{Customer_Name}.docx. When the files finished, they were already organized. I didn’t have to open a single one to know what was inside.
3. It Handles Photos!
I had to create some staff ID profiles that included headshots. I was worried it would only handle text, but Sheet-to-Doc can actually pull images from a link or folder and drop them right into the Word doc. No more manual “Insert -> Picture -> Resize” for every single person.
Is There a Catch?
The Free Version is great for quick tasks—it lets you do up to 10 rows at a time. If you’re a power user doing hundreds of documents a day, you’ll want the Pro version. But for the average person trying to escape “data entry hell,” the free version is a lifesaver.
The Verdict
If your job involves moving data from a list into a form, stop doing it manually. Sheet-to-Doc turned a task that usually takes me an hour into something that takes about 90 seconds. It’s clean, it’s private, and it actually does exactly what it says on the tin.
This post was originally published on 2026-03-27 at WTSolutions Blog. View the original article here.
]]><p>We’ve all been there. It’s 4:00 PM on a Friday, and your boss drops a spreadsheet with 50 rows of data. The task? “Just pop these intoMaster the Art of Automated Reporting: Advanced Workflows with Sheet-to-Dochttps://blog.wtsolutions.cn/sheet-to-doc-advanced-workflows/2026-03-27T08:30:00.000Z2026-03-28T01:23:26.117ZIn my previous post, we looked at how Sheet-to-Doc (s.wtsolutions.cn/sheet-to-doc) provides a secure, local-first alternative to traditional mail merge. But after diving into the official documentation, it’s clear that this isn’t just a simple conversion tool—it’s a sophisticated automation engine.
If you are a developer, a data scientist, or a high-level administrator, here is how you can push the limits of this application to transform your reporting workflows.
Beyond Spreadsheets: Native JSON & JSONL Support
While most users start by pasting Excel rows, Sheet-to-Doc’s true power lies in its native support for JSON and JSONL (JSON Lines).
In modern software environments, data often lives in APIs or NoSQL databases rather than static spreadsheets. Sheet-to-Doc allows you to bypass the “Export to Excel” step entirely. You can take a raw JSON response from a REST API and feed it directly into the tool.
Why JSONL? For massive datasets with thousands of records, JSONL is more memory-efficient. Sheet-to-Doc can process these line-by-line, allowing you to generate hundreds of professional reports without crashing your browser.
Dynamic Image Embedding: Not Just Static Links
One of the most powerful features found in the documentation is the ability to handle images dynamically. By using specific tags in your Word template, you can tell Sheet-to-Doc to:
Look for a URL or local file path in your data.
Fetch that image.
Automatically resize and embed it into the designated spot in your document.
This is a game-changer for generating Employee ID Badges, Real Estate Listing Sheets, or Product Catalogs where every document requires a different visual.
The Power of the Custom Filename Engine
Organization is the biggest hurdle in batch processing. If you generate 500 invoices, you don’t want to spend three hours renaming them. Sheet-to-Doc includes a Variable-Based Naming Engine.
In the settings, you can define a naming convention using your data headers:
This ensures that your output folder is perfectly organized and searchable from the moment you hit “Generate.”
Advanced Logic: Single vs. Merged Documents
Depending on your goal, the documentation highlights two distinct output strategies:
The “One-to-One” Workflow: Use this when each data row represents a unique entity (e.g., generating individual certificates for students).
The “Many-to-One” Workflow (Combined Mode): Use this to aggregate multiple data rows into a single, continuous document. This is ideal for creating Annual Summary Reports or Internal Audit Logs where you need a scrollable record of all entries.
Developer-Friendly Documentation
The Sheet-to-Doc Documentation is built for those who want to understand the “how” and “why.” It covers:
Placeholder syntax: How to handle nested data.
Troubleshooting: Common formatting issues between Excel and Word.
Performance Tips: How to handle larger batches effectively within the browser environment.
Conclusion
Sheet-to-Doc is more than a “copy-paste” assistant. By leveraging JSON support, dynamic image embedding, and its robust naming engine, you can turn a tedious manual task into a 5-minute automated process.
Whether you’re handling a dozen rows or thousands of JSON objects, the tool stays fast, secure, and entirely local.
This post was originally published on 2026-03-27 at WTSolutions Blog. View the original article here.
]]><p>In my previous post, we looked at how <strong>Sheet-to-Doc</strong> (<aStreamline Your Documentation: A Deep Dive into Sheet-to-Dochttps://blog.wtsolutions.cn/sheet-to-doc-a-deep-dive/2026-03-27T06:30:00.000Z2026-03-28T01:23:30.291ZIn today’s data-driven world, we often find ourselves staring at massive spreadsheets filled with valuable information. But when it’s time to present that data—whether as a contract, an invoice, or an employee profile—a row in a spreadsheet just doesn’t cut it. You need a polished Word document.
Enter Sheet-to-Doc (available at s.wtsolutions.cn/sheet-to-doc), a powerful web application designed to bridge the gap between structured data and professional documentation.
What is Sheet-to-Doc?
At its core, Sheet-to-Doc is a high-performance document generation tool. It allows you to take data from Excel, CSV, JSON, or JSONL files and automatically inject it into Word (.docx) templates.
Think of it as “Mail Merge” on steroids—built for the modern web, with a focus on speed, security, and flexibility.
Key Features That Set It Apart
1. Total Data Privacy (Local Processing)
One of the standout features of Sheet-to-Doc is its commitment to security. Unlike many online converters that require you to upload your sensitive spreadsheets to a third-party server, Sheet-to-Doc processes everything locally in your browser. Your data never leaves your computer, making it an ideal choice for HR, legal, and financial professionals.
2. Versatile Data Support
Whether you are a traditional office user or a developer, Sheet-to-Doc has you covered. It supports:
Excel/WPS Spreadsheets: Just copy and paste your rows directly.
Structured Data: Full support for CSV, JSON, and JSONL formats.
3. Smart Template System
Creating a template is simple. You use a straightforward {variable name} syntax in your Word document. When you run the application, it matches the column headers in your data to these placeholders and generates the documents instantly.
4. Advanced Batch Processing
Generating hundreds of documents one by one is a thing of the past. Sheet-to-Doc offers two main generation modes:
Individual Mode: Generates a separate Word file for every single row of data (perfect for individual contracts).
Combined Mode: Merges all data rows into one continuous Word document (great for catalogs or summary reports).
5. Custom Filename Engine
Tired of files named document1.docx, document2.docx? The app features a robust naming engine. You can set rules to name your files based on the data itself—for example, Contract_[CustomerName]_[Date].docx. This makes organizing and searching through batch-generated files incredibly easy.
6. Image Embedding
Unlike basic mail merge tools, Sheet-to-Doc supports embedding images. If your data includes image URLs or paths, the tool can pull those images and place them directly into your Word template, which is essential for ID cards, product catalogs, or real estate listings.
How to Use It in 3 Easy Steps
Prepare: Create a Word document with placeholders like {Name} or {Order_ID}.
Input: Paste your Excel data or upload your JSON file into the web interface.
Generate: Upload your template, configure your naming rules, and hit “Generate.” Your browser will handle the rest and provide a download link for your files.
Pricing and Versions
Sheet-to-Doc offers a generous Free Version that is perfect for small tasks:
Limit: Up to 10 rows and 10 images per batch.
For power users, the Pro Version removes all constraints, allowing for unlimited rows and images, making it a professional-grade solution for large-scale operations.
Final Thoughts
Sheet-to-Doc is a rare find in the productivity space: it’s powerful enough for enterprise use but simple enough for anyone to pick up in minutes. By keeping your data local and offering deep customization, it solves the most common headaches associated with document automation.
This post was originally published on 2026-03-27 at WTSolutions Blog. View the original article here.
]]><p>In today’s data-driven world, we often find ourselves staring at massive spreadsheets filled with valuable information. But when it’sImage GPS Editor Features - A Powerful GPS Data Editing Tool Supporting Multiple Image Formatshttps://blog.wtsolutions.cn/image-gps-editor-features-en/2026-02-27T02:00:00.000Z2026-03-28T01:28:52.473ZWhat is Image GPS Editor?
Image GPS Editor is a powerful cross-platform tool for editing image GPS location information, developed by WTSolutions. It supports multiple operating systems including Windows, Mac, iOS, Linux, and Android. This software helps users easily edit GPS location information in images, including adding, modifying, and deleting GPS data.
Supported Image Formats
Image GPS Editor supports multiple image formats, with different formats supported depending on the version:
Web Version Supported Formats:
JPG - The most common image format
JPEG - Same as JPG, just a different extension
Desktop Offline Version Additional Supported Formats:
TIFF - High-quality image format, commonly used in professional photography
PNG - Image format with transparent background support
HEIC/HEIF - Efficient image format commonly used on Apple devices
WEBP - Modern image format developed by Google with high compression ratio
AVIF - Efficient image format based on AV1 encoding
JPEG2000 - Next-generation JPEG format with higher compression ratio
PSD/PSB - Photoshop’s native file formats
Key Features
1. GPS Information Editing
Modify GPS location information in images, including latitude, longitude, altitude and other data, allowing you to precisely control the geographical location information of images.
2. Map Point Selection
Intuitively select points on the map and automatically get GPS coordinates, eliminating the need to manually input complex latitude and longitude data.
3. Batch Processing
Batch import GPS data and write to multiple images
Batch export GPS data to CSV files
Batch delete image GPS information
Greatly improve work efficiency, especially suitable for processing large numbers of images
4. Cross-Platform Support
Support Windows, Mac, iOS, Linux, Android and other operating systems, edit image GPS data anytime, anywhere.
5. Local Processing
All operations are completed locally, no need to upload images to the server, protecting user privacy. The desktop offline version can be used in a completely offline environment.
Version Options
Image GPS Editor offers two versions:
Free Version: Supports up to 6 images, suitable for personal users and small batch processing
Pro Version: No image quantity limit, supports batch processing of large numbers of images, suitable for professional users and enterprise users
Upload or drag in images that need GPS data editing
Set GPS coordinates through manual input or map point selection
Save modified images or apply batch changes to multiple images
Application Scenarios
Travel Photography: Add accurate geographical location information to travel photos
Professional Photography: Add precise shooting locations to commercial photography works
Map Applications: Add GPS data to images for map marking
Data Organization: Batch process GPS information for large numbers of images
Privacy Protection: Delete GPS information from images to protect personal privacy
Summary
Image GPS Editor is a powerful and easy-to-use image GPS data editing tool that supports multiple image formats, especially the desktop offline version supports TIFF, PNG, HEIC, HEIF, WEBP, AVIF, JPEG2000, PSD, PSB and other professional image formats, meeting the needs of different users. Whether you are a personal user or a professional user, you can easily manage the GPS data of your images through this tool.
If you need to edit the GPS information of images, try Image GPS Editor, it will bring great convenience to your image management work.
This post was originally published on 2026-02-27 at WTSolutions Blog. View the original article here.
This post was originally published on 2026-02-27 at WTSolutions Blog. View the original article here.
]]><h2 id="什么是-Image-GPS-Editor？"><a href="#什么是-Image-GPS-Editor？" class="headerlink" title="什么是 Image GPS Editor？"></a>什么是 Image GPSHow to Edit Image GPS Data: Complete Guide with WTSolutions Image GPS Editorhttps://blog.wtsolutions.cn/how-to-edit-image-gps-data-complete-guide-en/2026-02-24T01:00:00.000Z2026-03-28T01:42:53.832ZWhat is Image GPS Editor?
In the digital age, the photos we take not only record visual information but also contain a wealth of metadata, with GPS location information being particularly important. “Image GPS Editor” developed by WTSolutions is a professional image GPS data editing tool that supports cross-platform use, including Windows, Mac, iOS, Linux, and Android systems.
This tool allows users to modify, add, or delete GPS location information in images without requiring professional technical knowledge, with simple and intuitive operation.
Access
The “Image GPS Editor” tool is available for free download on the WTSolutions official website. Please visit the following link to download the latest version:
Modify GPS location information in images, including latitude, longitude, altitude, and other data
Support precise adjustment of coordinate values to meet professional needs
Batch process multiple images to improve work efficiency
2. Map Point Selection
Intuitively select points through interactive maps and automatically obtain GPS coordinates
Simplify the geographic location input process without manually entering complex coordinate data
Support location selection worldwide
3. Batch Processing Functions
Batch Import GPS Data: Import GPS data from CSV or Excel files and batch write to multiple images
Batch Export GPS Data: Export GPS data from multiple images to CSV files for easy data analysis
Batch Delete GPS Information: One-click deletion of GPS information from multiple images to protect privacy
4. Local Processing for Privacy Protection
All operations are completed locally without uploading images to servers
Effectively protect user privacy and data security
Desktop version supports complete offline use
5. Multiple Image Format Support
Support multiple common image formats such as JPG, JPEG, TIFF, DNG, HEIC, HEIF
Compatible with photo formats taken by different devices
6. Cross-Platform Support
Web version: No installation required, use directly in the browser
Desktop version: Support Windows, Mac, Linux systems
Mobile version: Support iOS and Android devices
Application Scenarios
1. Travel Photo Organization
Add location information to old photos without GPS data
Correct location deviations in travel photos
Create travel albums with accurate geographic locations
2. Social Media Sharing
Add or modify location information before sharing photos to increase the storytelling of photos
Protect privacy by deleting sensitive location information
3. Professional Photography
Add accurate shooting locations to commercial photography works
Batch process GPS data of photography works to improve work efficiency
4. Real Estate Industry
Add accurate geographic locations to real estate photos
Batch process GPS information of real estate photos for easy management
5. News Media
Add accurate shooting locations to news photos
Ensure accurate geographic location information in news reports
6. Privacy Protection
Delete GPS information in photos to prevent location information leakage
Batch process multiple photos to quickly remove all GPS data
Advantages Compared to Other Tools
Simple Operation: Intuitive user interface, no professional technical knowledge required
Comprehensive Functions: From single image editing to batch processing, meeting different needs
Privacy Protection: Local data processing to ensure information security
Cross-Platform Compatibility: Support multiple operating systems and devices
Multiple Format Support: Compatible with common image formats
Offline Availability: Desktop version supports complete offline use
Cost-Effective: Provide free version, professional version at reasonable price
How to Use Image GPS Editor
Basic Steps
Select Version: Choose web version or download desktop version according to your needs
Upload Images: Click to select images or drag and drop image files
Edit GPS Information:
Manually enter GPS coordinates
Or obtain coordinates through map point selection
Save Changes: Click the save button to download the modified image
Batch Processing Steps
Upload Multiple Images: Select multiple images at once
Select Batch Operation:
Batch write GPS data
Batch delete GPS information
Batch import/export GPS data
Execute Operation: Click the corresponding button to execute batch operation
Download Results: Get processed images or exported data files
Free Version vs Professional Version
Feature
Free Version
Professional Version
Maximum number of images
6
Unlimited
Basic editing functions
✅
✅
Batch processing functions
✅
✅
Cross-platform support
✅
✅
Local processing
✅
✅
Technical support
Limited
Priority
Frequently Asked Questions
Q: Why don’t my photos have GPS information?
A: Some cameras or phones may have the location recording feature disabled by default. Please enable location services in your device settings. For old photos, you may need to manually add GPS information.
Q: How accurate is the modified GPS data?
A: This tool is not professional GPS software, it is only used to modify the GPS data of images, and cannot guarantee its accuracy. Please be sure to confirm whether the modified GPS data is accurate after use.
Q: What image formats are supported?
A: Supports multiple common image formats such as JPG, JPEG, TIFF, DNG, HEIC, HEIF.
Q: Will the processed images have quality loss?
A: No, this tool only modifies the metadata (EXIF information) of images and does not affect the visual quality of images.
Conclusion
WTSolutions’ “Image GPS Editor” is a powerful and easy-to-use image GPS data editing tool that provides users with a convenient solution for processing image location information. Whether it’s personal users organizing travel photos or professionals batch processing work photos, it can meet various needs.
The tool focuses on user privacy, with all operations completed locally, eliminating concerns about data leakage. At the same time, cross-platform support and multiple format compatibility make it an ideal choice for processing image GPS information.
This post was originally published on 2026-02-24 at WTSolutions Blog. View the original article here.
]]><h2 id="什么是Image-GPS-Editor？"><a href="#什么是Image-GPS-Editor？" class="headerlink" title="什么是Image GPS Editor？"></a>什么是Image GPSHow to Import Photos to Google Earth: Complete Guide with WTSolutions Toolhttps://blog.wtsolutions.cn/how-to-import-photos-to-google-earth-complete-guide-en/2026-02-24T00:00:00.000Z2026-03-28T01:42:47.612ZWhat is the Images to Google Earth Tool?
In the digital age, the photos we take not only capture precious moments but also contain important geographic location information (GPS data). The “Images to Google Earth/Ovi Maps” tool developed by WTSolutions is a software specifically designed to extract GPS information from photos and import them into Google Earth or Ovi Maps.
This tool supports cross-platform use, including Windows, Mac, iOS, Linux, and Android systems, allowing you to easily combine photos with geographic information regardless of the device you’re using.
Access
The “Images to Google Earth/Ovi Maps” tool is available for free download on the WTSolutions official website. Please visit the following link to download the latest version:
Automatically reads GPS data from photos and accurately obtains latitude and longitude coordinates of shooting locations without manual input of geographic information.
2. KMZ File Generation
Combines extracted GPS data with photos to generate KMZ format files that can be directly read by Google Earth and Ovi Maps, allowing your photos to be displayed intuitively on the map.
3. Local Processing for Privacy Protection
All photo processing is completed locally on your computer and will not be uploaded to the internet, effectively protecting your privacy and security.
4. Multiple Format Data Export
Excel/CSV Export: Export GPS data to spreadsheet format for easy data analysis and management
GeoJSON Export: Supports export to GeoJSON format, compatible with various GIS software
5. Cross-Platform Support
Whether you use Windows, Mac, Linux, or mobile devices, you can find a suitable version.
6. Offline Desktop Version
Provides an offline desktop version that can be used without network connection, suitable for field work or environments with poor network conditions.
Application Scenarios
1. Travel Recording
Import photos taken during your journey into Google Earth to create a visual travel track and relive beautiful memories.
2. Outdoor Adventures
For outdoor activities such as hiking, camping, and mountaineering, you can record geographic locations through photos, facilitating subsequent route planning and sharing.
3. Engineering Survey
In engineering surveys, accurately record on-site conditions through geotagged photos, providing important references for later analysis.
4. Real Estate Evaluation
Real estate professionals can more intuitively showcase property surrounding environments and features through geotagged photos.
5. Environmental Monitoring
Environmental protection workers can use this tool to record environmental changes and visually display monitoring point distributions through maps.
Advantages Compared to Other Tools
Simple Operation: Intuitive user interface, no professional technical knowledge required
Comprehensive Functions: One-stop solution from GPS extraction to multi-format export
Privacy Protection: Local data processing ensures information security
Cross-Platform Compatibility: Supports multiple operating systems to meet different user needs
Offline Availability: Desktop version doesn’t require network connection, usable anytime and anywhere
How to Use the Images to Google Earth Tool
Basic Steps
Download and Install: Download and install the corresponding version according to your operating system
Select Map Type: Choose Google Earth or Ovi Maps
Upload Photos: Drag photos to the software interface or click the upload button
Set Parameters: Select icon style, adjust image display size, etc.
Generate File: Click the generate button to obtain the KMZ file
Import to Map: Import the generated KMZ file into Google Earth or Ovi Maps for viewing
Pro Version Features
After upgrading to the Pro version, you will get:
Unlimited photo processing capability (Free version can process up to 6 images)
More advanced setting options
Priority technical support
Frequently Asked Questions
Q: Why don’t my photos have GPS information?
A: Some cameras or phones may have location recording feature disabled by default. Please enable location services in your device settings.
Q: What should I do if the generated KMZ file can’t display photos in Google Earth?
A: Ensure your Google Earth version supports KMZ files, or try using the latest version of Google Earth.
Q: What image formats does the tool support?
A: It supports common image formats such as JPG, PNG, etc., as long as the images contain EXIF information.
Conclusion
WTSolutions’ “Images to Google Earth/Ovi Maps” tool is a powerful and easy-to-use photo geographic information processing software that provides users with a convenient solution for importing photos into maps. Whether for personal travel recording or professional work needs, it can meet your various geotagging requirements.
Visit the WTSolutions official website now, download the version suitable for you, and start exploring the unlimited possibilities of photo geographic information!
This post was originally published on 2026-02-24 at WTSolutions Blog. View the original article here.
]]><h2 id="What-is-the-Images-to-Google-Earth-Tool"><a href="#What-is-the-Images-to-Google-Earth-Tool" class="headerlink" title="What is the照片导入谷歌地球完全指南：如何使用WTSolutions工具提取GPS并生成KMZ文件https://blog.wtsolutions.cn/photos-to-google-earth-complete-guide-cn/2026-02-24T00:00:00.000Z2026-03-28T01:26:04.960Z什么是照片to谷歌地球工具？
This post was originally published on 2026-02-24 at WTSolutions Blog. View the original article here.
]]><h2 id="什么是照片to谷歌地球工具？"><a href="#什么是照片to谷歌地球工具？" class="headerlink"Sheet to Doc, Sheet-to-Doc 破解版https://blog.wtsolutions.cn/sheet-to-doc-download/2026-02-21T02:00:00.000Z2026-03-28T01:22:53.894Z下载网盘地址： 点击网盘下载
This post was originally published on 2026-02-21 at WTSolutions Blog. View the original article here.
]]>Sheet to Doc, Sheet-to-doc破解版How to Solve Batch Image Location Information Management Problems with Image GPS Data Editorhttps://blog.wtsolutions.cn/image-gps-editor-user-experience-en/2026-02-06T03:00:00.000Z2026-03-28T01:28:48.950ZMy Problem: GPS Information Management for Massive Images
As an outdoor adventure photographer, I often take a large number of photos in remote areas such as mountains and forests. Recently, I encountered a troubling problem:
Problem 1: Loss of Photo Location Information
During a 7-day hiking trip, I took over 800 photos. However, due to camera settings issues, most photos lost their GPS information. These photos record what I saw and experienced at different locations, and without location information, I cannot recreate my travel route on a map.
Problem 2: Privacy Protection Needs
I plan to share some travel photos on social media but worry that the GPS information in the photos will reveal my specific location, posing a security risk. Manually deleting GPS information from each photo is obviously impractical.
Problem 3: Disorganized Location Information Management
I have a large number of photos taken at different times and locations, and I need to organize and manage their location information, but I’ve never found a suitable tool.
Discovering the Solution: Image GPS Data Editor
On a friend’s recommendation, I tried using the Image GPS Data Editor. The batch processing feature of this tool completely solved my problems, making the management of image GPS information easy and efficient.
Solution Implementation Process
Solving Problem 1: Batch Recovery of GPS Information
Preparation
I exported the complete track of my hiking trip from the GPS track recording app on my phone
Using GPS track analysis tools, I extracted the coordinate information of the main stops each day
Created a CSV file containing photo filenames and corresponding GPS coordinates
Image GPS Data Editor performs excellently in terms of batch processing capability, security, ease of use, and price, making it the best solution I’ve found so far.
Conclusion: From Tedious to Easy Transformation
The batch processing feature of Image GPS Data Editor has completely changed the way I manage photo GPS information. From the previous tedious manual operations to the current one-click batch processing, my work efficiency has increased several times.
My Gains
Time Saving: Work that originally required hours now takes only minutes
Data Completeness: All photos now have accurate location information
Privacy Protection: Can safely share photos without worrying about location information leakage
Work Efficiency: Image GPS information management is no longer a burden but an enjoyment
Recommended for the Following Groups
Outdoor adventure enthusiasts: Need to manage location information for a large number of field-shot photos
Travel bloggers: Hope to protect privacy while sharing photos, and retain route information
Professional photographers: Need to efficiently manage GPS data of client photos
Event organizers: Need to batch add location information to event photos
Anyone: Users who want to easily manage photo GPS information
Final Words
As a photographer who frequently deals with a large number of photos, I am very grateful to the developers of Image GPS Data Editor. This tool not only solved my practical problems but also gave me a new understanding of image management.
If you also face similar problems, you might as well try this tool. I believe it will bring you surprises and make image GPS information management easier and more efficient than ever before.
This post was originally published on 2026-02-06 at WTSolutions Blog. View the original article here.
]]><h2 id="My-Problem-GPS-Information-Management-for-Massive-Images"><a href="#My-Problem-GPS-Information-Management-for-Massive-Images"Image GPS Data Editor Batch Processing Feature - Efficiently Manage Location Information for Large Volumes of Imageshttps://blog.wtsolutions.cn/image-gps-editor-batch-processing-en/2026-02-06T02:00:00.000Z2026-03-28T01:29:15.974ZWhat is Image GPS Data Editor?
Image GPS Data Editor is a powerful cross-platform tool specifically designed for editing GPS location information in images. It supports Windows/Mac/iOS/Linux/Android systems, and all operations are completed locally without uploading images to servers, maximizing user privacy protection.
Detailed Explanation of Batch Processing Features
📊 Core Batch Operation Features
1. Batch Write GPS Data
Feature Description: Write specified GPS data to multiple images at once
Application Scenario: When you need to add the same location information to a group of images taken at the same location
Operation Steps: Select multiple images → Set GPS data → Click “Write specified GPS data to all images” button
2. Batch Delete GPS Information
Feature Description: One-click deletion of GPS location information from multiple images
Application Scenario: When you need to protect privacy and remove location data from images
Feature Description: Batch import GPS data through CSV or Excel files and automatically match to corresponding images
Application Scenario: When you have a large number of images that need different location information
Operation Steps: Prepare a CSV file containing image filenames and corresponding GPS data → Click “Batch import GPS data and write to images” button → Select CSV file
4. Batch Export GPS Data
Feature Description: Export GPS data from multiple images to a CSV file
Application Scenario: When you need to analyze image location distribution or back up GPS data
Operation Steps: Select multiple images → Click “Batch export GPS data to CSV file” button
Technical Advantages of Batch Processing
1. Efficient Processing
Supports simultaneous processing of multiple images, greatly improving work efficiency
Batch operations save more than 80% of the time compared to single-image processing
Suitable for large-scale tasks processing hundreds or thousands of images
2. Accuracy Assurance
Strictly follows EXIF standards for writing GPS data
Click the upload area or directly drag and drop multiple image files to the selection area. The free version supports processing up to 6 images, while the professional version has no limit.
Step 3: Set GPS Data
Set the GPS information to be applied to all images in the GPS data editing area, including latitude, longitude, altitude, etc.
Step 4: Execute Batch Operation
According to your needs, select the corresponding batch operation button:
Batch write GPS data
Batch delete GPS information
Batch import GPS data
Batch export GPS data
Step 5: View Results
After batch operation is completed, the system will display the operation results and provide download links.
Professional Version Advantages
Unlimited Processing: Professional version can process unlimited images, no 6-image limit
Priority Technical Support: Professional version users enjoy priority technical support
Offline Use: Desktop installation version supports complete offline use
Technical Specifications
Batch Processing Performance
Supports simultaneous processing of multiple images
Processing speed depends on local device performance
Real-time progress display during batch operations
System Requirements
Web Version: Modern browsers (Chrome, Firefox, Safari, Edge)
Desktop Version: Windows 10+, macOS 11+, Linux
Mobile Version: iOS , Android
Actual Application Cases
Case 1: Batch Processing for Travel Photographers
Problem: A travel photographer took over 500 photos during a trip and needed to add accurate location information to these photos.
Solution: Used Image GPS Data Editor’s batch import feature, through a CSV file generated from travel track records, to add accurate location information to all photos at once.
Effect: What originally required several hours of work was completed in just 10 minutes, and all photos had accurate location information.
Case 2: Privacy Protection for Real Estate Agents
Problem: Real estate agents needed to publish a large number of property photos online but were concerned that GPS information in the photos would reveal specific locations.
Solution: Used Image GPS Data Editor’s batch delete feature to remove GPS information from all photos at once.
Effect: Protected client privacy while ensuring photo quality was not affected.
Summary
Image GPS Data Editor’s batch processing feature is one of its most powerful features, providing users with an efficient, accurate, and secure solution for managing image GPS information. Whether for individual users or professional teams, these features can significantly improve work efficiency and solve practical problems.
This post was originally published on 2026-01-30 at WTSolutions Blog. View the original article here.
]]><h2 id="什么是图片GPS数据编辑器？"><a href="#什么是图片GPS数据编辑器？" class="headerlink"New Urban Planning Method Building 3D Current Situation Survey with Photos to Google Earthhttps://blog.wtsolutions.cn/photos-to-google-earth-urban-planner-en/2026-01-27T03:00:00.000Z2026-03-28T01:24:53.603ZThe Daily Dilemma of Urban Planners
As an urban planner, my work involves multiple fields such as urban renewal, district planning, and transportation optimization. Over the past decade, I have participated in more than 50 urban planning projects, with my footprints covering over 20 cities across the country.
In urban planning work, current situation survey is the most basic and important link. We need to collect a large amount of current situation information through on-site reconnaissance, photography, measurement, etc., to provide a basis for subsequent planning and design.
However, traditional current situation survey methods have many problems:
Huge workload: A medium-sized district planning project often requires taking thousands of current situation photos
Difficult information organization: Photos and location information are separate, requiring manual recording of each photo’s shooting location
Unintuitive spatial relationships: 2D photos cannot intuitively show the spatial relationships between buildings, roads, green spaces and other elements
Low public participation: When displaying planning schemes to the public, there is a lack of intuitive current situation comparison materials
Difficult scheme comparison: The spatial impact of different planning schemes is difficult to intuitively display
I’ve always dreamed of a way to perfectly integrate current situation survey photos with geographic space, improving the efficiency and quality of planning work.
Discovering a Planning Tool: Photos to Google Earth
By chance, I saw someone recommend the “Photos to Google Earth/Ovi Maps” software on a planning industry forum. With a try-it-out attitude, I visited the official website (https://s.wtsolutions.cn/gps.html) and started my geographical planning journey.
First Use Experience
For the first time, I selected over 500 current situation photos from an ongoing urban renewal project for testing. The software operation is very simple:
Open the software and select Chinese language
Directly drag photos to the software interface
The software automatically reads GPS information from photos
Click the “Export to KMZ” button
Import the generated KMZ file into Google Earth
When I opened the generated KMZ file in Google Earth, I was shocked by what I saw! All photos were accurately marked at their shooting locations. I could use Google Earth’s flight function to “fly” over the entire district and intuitively view the current situation of each plot. This 3D visualized current situation survey method is incomparable to traditional 2D photos.
Revolution in Planning Efficiency
1. Quickly Establish Geographic Current Situation Database
With Photos to Google Earth software, we no longer need to manually record each photo’s location information. The software automatically extracts GPS data from photos and marks photos at precise locations on the map.
Now, our current situation survey process has become more efficient:
Use GPS-enabled cameras or phones to take photos during on-site reconnaissance
After returning to the office, batch import photos into the software for processing
Generate KMZ files for viewing and management in Google Earth
Export to CSV or GeoJSON format as needed for use in other planning tools
In this way, we can establish a complete geographic current situation photo database in a short time, greatly improving survey efficiency.
2. Intuitively Display Spatial Relationships
In urban planning, spatial relationships are one of the core elements. With Photos to Google Earth software, we can:
Intuitively view the relationship between buildings and roads on 3D maps
Understand the connection between public spaces and surrounding plots
Analyze the current situation of traffic nodes
Evaluate the integrity of landscape corridors
This 3D visualization method allows us to more accurately understand the current spatial structure and provide more reliable basis for planning decisions.
3. Improve Public Participation
Urban planning requires extensive public participation, but traditional planning display methods are often too professional for ordinary people to understand. With Photos to Google Earth software, we can:
Generate intuitive geographic current situation display materials
Allow the public to “on-site” understand the current situation of the planning area through Google Earth
Compare and display changes between current situation and planning schemes
Collect public opinions and suggestions on specific locations
In a recent urban renewal project, we used this method for public participation, which increased participation by more than 40% and received a large number of valuable public opinions.
4. Multi-scheme Spatial Impact Comparison
In the planning and design process, we usually propose multiple alternative schemes. With Photos to Google Earth software, we can:
Display the spatial impact of different schemes on the same map
Compare and analyze the changes of each scheme to the current environment
Evaluate the advantages and disadvantages of each scheme
Provide intuitive reference basis for final decisions
This visualized scheme comparison method not only improves decision-making efficiency but also reduces the subjectivity of decisions.
5. Project Management and Team Collaboration
Urban planning projects usually involve the collaboration of multiple professions. With Photos to Google Earth software, we can:
Provide a unified geographic current situation information platform for the project team
Designers of different professions can view and mark information on the same map
Project leaders can intuitively understand project progress
Communicate more effectively with clients and other stakeholders
In this way, our project management becomes more efficient and team collaboration becomes smoother.
Software Usage Tips
1. Ensure Device GPS Accuracy
The positioning accuracy of the software depends on the GPS accuracy of the shooting device. For important projects, it is recommended to use professional GPS cameras or external GPS receivers to obtain higher positioning accuracy.
2. Reasonably Organize Photos
For large projects, it is recommended to process photos in batches according to different functional districts or research themes, and generate multiple KMZ files for easier management and use.
3. Combine with Other Planning Tools
Photos to Google Earth software can seamlessly integrate with other planning tools:
Import CSV format data into Excel to create detailed current situation survey tables
Import GeoJSON format data into professional GIS software such as ArcGIS for more in-depth spatial analysis
Combine KMZ files with planning scheme models for 3D visualized display
4. Upgrade to Professional Version
The free version can only process up to 6 photos, which is obviously insufficient for planning projects. Our team purchased the professional version (one-time payment, only 49 yuan), allowing us to process thousands of photos at once to meet the needs of large projects.
5. Establish Standardized Workflow
To fully utilize the advantages of the software, we have established a standardized workflow:
Check device GPS function before on-site reconnaissance
Ensure coverage of all important points during on-site shooting
Process photos taken on the same day in a timely manner after each day ends
Regularly update KMZ files to maintain the timeliness of current situation information
Treat KMZ files as an important part of project archives
New Future of Urban Planning
Photos to Google Earth software has brought revolutionary changes to urban planning work. It has transformed traditional 2D current situation surveys into 3D geographic space visualization, greatly improving the efficiency and quality of planning work.
For urban planners, this software is undoubtedly an essential tool to improve work efficiency and result quality. It not only simplifies the workflow of current situation surveys but also provides more intuitive and reliable basis for planning decisions.
With the continuous development of technology, I believe Photos to Google Earth software will play an increasingly important role in the field of urban planning, contributing to the construction of better cities.
If you are also troubled by current situation survey problems in urban planning, why not try Photos to Google Earth software. It is simple to use, powerful, and will definitely bring unexpected changes to your planning work!
This post was originally published on 2026-01-27 at WTSolutions Blog. View the original article here.
]]><h2 id="探险者的困境"><a href="#探险者的困境" class="headerlink"New Outdoor Adventure Tool Recording My Wilderness Footprints with Photos to Google Earthhttps://blog.wtsolutions.cn/photos-to-google-earth-outdoor-adventure-en/2026-01-27T02:00:00.000Z2026-03-28T01:25:23.722ZThe Explorer’s Dilemma
As an avid outdoor adventure enthusiast, I spend a lot of time exploring wilderness areas such as mountains, deserts, and coastlines every year. From Gaoligong Mountain in Yunnan to Kanas in Xinjiang, from Daocheng Yading in Sichuan to Hoh Xil in Qinghai, my footprints cover the beautiful landscapes of my country.
However, every time I return from an adventure, I face a huge challenge: how to organize and manage the large number of photos taken during the adventure. Last year alone, I took over 8,000 photos during various adventure activities!
Traditional photo organizing methods have many problems:
Unintuitive route recording: Although I record GPS tracks, the tracks and photos are separate, making it impossible to intuitively see the photos’ positions on the route
Difficult to mark dangerous spots: Dangerous sections, landslide areas, etc. encountered during adventures cannot be marked on maps corresponding to photos
Difficult to find photos: Finding photos of a specific location requires rummaging through numerous folders
Inconvenient team sharing: When sharing adventure experiences with teammates, I need to constantly switch between track files and photos
I’ve always dreamed of a way to perfectly integrate my adventure photos with routes, allowing me to relive adventure experiences as if “flying” over the map.
Discovering a Treasure Tool: Photos to Google Earth
By chance, I saw someone recommend the “Photos to Google Earth/Ovi Maps” software on an outdoor forum. With a try-it-out attitude, I visited the official website (https://s.wtsolutions.cn/gps.html) and started my geographical adventure journey.
First Use Experience
For the first time, I selected over 300 photos taken during my hiking trip to Daocheng Yading last year for testing. The software operation is very simple:
Open the software and select Chinese language
Directly drag photos to the software interface
The software automatically reads GPS information from photos
Click the “Export to KMZ” button
Import the generated KMZ file into Google Earth
When I opened the generated KMZ file in Google Earth, I was shocked by what I saw! All photos were accurately marked at their shooting locations. I could use Google Earth’s flight function to start from Chengdu, follow my hiking route, and view photos of Kangding, Xinduqiao, Daocheng, and Yading in sequence. Each photo seemed to take me back to the moment it was taken, and that immersive feeling is incomparable to traditional photo albums.
Revolution in Adventure Efficiency
1. Route Visualization, Perfect Integration of Tracks and Photos
With Photos to Google Earth software, I no longer need to manage GPS tracks and photos separately. The software automatically marks photos at precise locations on the map, forming a visual adventure route with photos. I can clearly see:
The exact location where each photo was taken
The spatial relationship between photos
The complete context of the entire adventure route
This allows me to review the adventure process more clearly and provides valuable references for future adventure planning.
2. Marking Dangerous Spots, Improving Team Safety
During adventures, I often encounter dangerous spots such as:
Steep slopes
Slippery streams
Rockfall areas
Complex intersections
Now, I take photos at these spots and mark them on the map through the software. When I share KMZ files with the team, teammates can clearly see these dangerous spots in Google Earth and take preventive measures in advance.
3. Batch Processing, Quick Organization of Adventure Results
Previously, organizing photos from a large adventure took several days. Now, with Photos to Google Earth software, I can:
Process thousands of photos at once
Automatically organize photos by geographical location
Quickly generate professional geographical adventure reports
For last year’s Kanas hiking trip, I took over 1,200 photos and completed all processing in less than 30 minutes using the software.
4. Team Collaboration, Sharing Adventure Experiences
The KMZ files generated by Photos to Google Earth software are a universal format that can be opened on multiple platforms such as Google Earth and Ovi Maps. This allows me to:
Share complete adventure routes and photos with teammates
Team members can view and comment on their own devices
Provide detailed route references for new teammates
In a recent team adventure, we shared KMZ files to let all team members understand the route situation in advance, greatly improving the safety and efficiency of the adventure.
Software Usage Tips
1. Ensure GPS Function is Enabled on Device
The software needs to read GPS information from photos to mark positions on the map. Before adventures, be sure to ensure that your camera or phone has GPS positioning enabled.
2. Reasonably Use Different Export Formats
The software supports exporting three formats:
KMZ format: For viewing in Google Earth and Ovi Maps
CSV format: For creating detailed adventure logs and statistical data
GeoJSON format: For integration with other GIS software
I usually export KMZ format for daily viewing and CSV format for creating adventure reports.
3. Upgrade to Professional Version
The free version can only process up to 6 photos, which is obviously insufficient for adventure enthusiasts. I毫不犹豫 purchased the professional version (one-time payment, only 49 yuan), allowing me to process thousands of photos at once and permanently use all advanced features.
4. Use Desktop Offline Version
Although the software provides an online version, I recommend using the desktop offline version. The desktop version processes faster and can be used without network connection, protecting photo privacy.
New Future for Adventure Photos
Photos to Google Earth software has brought new vitality to my adventure photos. It has transformed my adventure photos from isolated images into “memory points” on the map. Through Google Earth, I can “fly” back to those wilderness areas anytime and relive adventure experiences.
For outdoor adventure enthusiasts, this software is undoubtedly a treasure tool. It not only solves the problem of photo organization but also provides a new way to record and share adventure experiences. If you are also someone who loves outdoor adventures, why not try Photos to Google Earth software and let your adventure footprints remain on the map forever!
This post was originally published on 2026-01-27 at WTSolutions Blog. View the original article here.
]]><h2 id="The-Explorer’s-Dilemma"><a href="#The-Explorer’s-Dilemma" class="headerlink" title="The Explorer’s Dilemma"></a>The Explorer’sEfficient Office Experience My Review of Sheet-to-Doc WPS Pluginhttps://blog.wtsolutions.cn/Experience-with-Sheet-to-Doc-WPS-Plugin-en/2026-01-26T06:30:00.000Z2026-03-28T01:42:41.304ZIntroduction
As an office worker who frequently deals with large volumes of documents, I’ve always been on the lookout for tools to improve my work efficiency. Recently, I discovered a WPS plugin called Sheet-to-Doc, which has completely changed the way I handle documents. Today, I want to share my real experience and the convenience of using this plugin from an ordinary user’s perspective.
What is Sheet-to-Doc?
Sheet-to-Doc is a powerful tool that can batch convert data from Excel, CSV, JSON, and other formats into Word documents. It supports three usage methods: web version, desktop application, and plugin. My favorite is the WPS plugin version because it can be used directly in my familiar office environment without switching software.
User Experience: From Tedious to Effortless
1. Seamless Integration, No Software Switching
As a WPS plugin, Sheet-to-Doc is perfectly integrated into the WPS Spreadsheet interface. I can directly click the plugin button to start generating documents while editing Excel data, without opening a browser or other applications. This seamless experience allows me to maintain work continuity and greatly improves efficiency.
2. Simple and Easy to Use, No Learning Curve
When I first used Sheet-to-Doc, I was worried about complex settings, but the actual experience was very simple:
Prepare an Excel spreadsheet containing data
Design a Word template with placeholders
Open the plugin in WPS and upload the template
Select the data range and set filename rules
Click the generate button and wait for the documents to be automatically generated
The entire process takes less than 5 minutes, and even users without technical background can easily master it.
3. Powerful Features to Meet Diverse Needs
Sheet to Doc is not just a simple mail merge tool; it also provides many practical features:
Custom Filenames: Automatically generate meaningful filenames based on data fields
Batch Generation: Process hundreds of data entries at once, generating hundreds of documents
Image Support: Automatically insert images into documents
Local Processing: All data is processed locally, no need to worry about data security issues
Multiple Data Formats: Supports Excel, CSV, JSON, and other formats
4. Save Time and Improve Efficiency
Previously, I needed to manually copy and paste data into Word templates, which might take several minutes to generate one document. Now, with the Sheet to Doc plugin, I can generate dozens or even hundreds of documents at once with just a few clicks.
For example, last month I needed to generate pay slips for 200 employees in the company. Previously, it might have taken a whole day, but now it only takes 10 minutes. This gives me more time to focus on more important work.
5. Professional Documents, Improve Quality
The documents generated by Sheet to Doc have uniform formatting and accurate content, avoiding errors that may occur with manual operations. Whether it’s contracts, reports, or invitations, they can maintain a professional appearance and enhance the company’s image.
Application Scenarios
Sheet to Doc is suitable for various scenarios that require batch document generation:
As an ordinary user, I highly recommend the Sheet-to-Doc WPS plugin. It is not only simple and easy to use but also powerful, which can significantly improve office efficiency. If you often need to process a large number of documents, you may wish to try this plugin; I believe it will bring you surprises.
This post was originally published on 2026-01-26 at WTSolutions Blog. View the original article here.
]]><h2 id="引言"><a href="#引言" class="headerlink" title="引言"></a>引言</h2><p>作为一名经常需要处理大量文档的办公族，我一直在寻找能够提高工作效率的工具。最近，我发现了一款名为 Sheet-to-Doc 的 WPSReal-World Use Cases - How Organizations Use Excel to JSONhttps://blog.wtsolutions.cn/excel-to-json-series10-real-world-use-cases-en/2026-01-17T21:00:00.000Z2026-03-28T01:43:56.118ZWelcome to the final post in our Excel to JSON series! We’ve covered all the tools, features, and technical details. Today, we’re exploring real-world use cases - practical examples of how organizations and professionals are using Excel to JSON to solve actual business problems.
Use Case 1: E-commerce Product Catalog Management
The Challenge
An e-commerce company manages product catalogs in Excel for easy editing by non-technical staff. However, their website and mobile apps require JSON format. The company needs to:
Convert product catalogs from Excel to JSON daily
Maintain consistent data structure across channels
Handle complex product specifications with nested data
Support multiple product categories in separate sheets
The Solution
Workflow:
Data Entry: Product managers update Excel workbooks with product information
Automated Conversion: Scheduled script uses Excel to JSON API to convert all sheets
Quality Control: Automated validation ensures data consistency
Multi-Channel Distribution: JSON data is deployed to website, mobile apps, and third-party marketplaces
Results:
Time Saved: 6 hours per week (from manual conversion to automated)
Error Reduction: 85% decrease in data entry errors
Faster Time-to-Market: Products appear on website 4 hours earlier
Better Data Quality: Consistent structure across all channels
A financial services firm is migrating from legacy systems to modern cloud-based infrastructure. They have years of historical data stored in Excel format that needs to be converted to JSON for:
Import into new cloud-based systems
API integration with fintech partners
Regulatory compliance and audit trails
Batch processing of millions of records
The Solution
Workflow:
Data Preparation: Legacy Excel files are organized and validated
Batch Conversion: Excel to JSON API processes files in batches
Data Validation: Automated checks ensure data integrity
API Integration: JSON data is uploaded to new systems
Audit Trail: All conversions are logged for compliance
Results:
Migration Speed: 3 months instead of 12 months
Data Accuracy: 99.9% accuracy rate (vs 95% manual)
A healthcare organization manages patient records in Excel for easy access by medical staff. However, their electronic health record (EHR) system requires JSON format. The organization needs to:
Convert patient records while maintaining HIPAA compliance
Handle sensitive data securely
Support complex medical data with nested structures
Generate audit logs for all conversions
The Solution
Workflow:
Secure Data Access: Medical staff access Excel files on secure workstations
Local Conversion: Excel to JSON Excel Add-in converts data locally (no cloud upload)
Data Sanitization: Sensitive identifiers are removed before analysis
Secure Transfer: JSON files are transferred via secure channels
Audit Logging: All conversions are logged for compliance
Results:
Data Security: 100% local processing, no cloud exposure
Compliance: Full HIPAA compliance maintained
Staff Efficiency: 60% faster record conversion
Error Reduction: 90% decrease in transcription errors
Tools Used:
Excel to JSON Excel Add-in for secure, local conversions
A manufacturing company uses IoT sensors across their production line. Each sensor streams data in JSON format to a central server. However, engineers need to analyze historical data in Excel format. The company needs to:
Convert historical sensor data from JSON to Excel for analysis
Convert analyzed results back to JSON for system updates
Handle high-volume data streams
Support real-time and batch processing
The Solution
Workflow:
Data Collection: Sensors send JSON data to central server
Batch Conversion: Scheduled jobs convert JSON to Excel for analysis
Analysis Phase: Engineers analyze data in Excel with formulas and charts
Reverse Conversion: Analysis results are converted back to JSON
System Updates: JSON data is used to update production systems
Results:
Analysis Efficiency: 70% faster data analysis workflow
Better Insights: Excel analysis reveals patterns not visible in JSON
System Optimization: 45% improvement in production efficiency
Cost Savings: $150,000 annually in reduced downtime
A marketing agency runs campaigns across multiple platforms (Facebook, Google Ads, Twitter, etc.). Each platform provides campaign performance data in Excel format for easy downloading. The agency needs to:
Consolidate data from all platforms into a unified format
Generate comprehensive reports for clients
Calculate ROI across campaigns
Automate weekly reporting process
The Solution
Workflow:
Data Collection: Automated scripts download Excel files from all platforms
Batch Conversion: Excel to JSON Web App converts all files simultaneously
Data Normalization: Excel formulas normalize metrics across platforms
ROI Calculation: Automated calculations determine campaign effectiveness
Report Generation: Client-specific reports are created and emailed
Results:
Data Consolidation: 100% of platform data integrated
Report Time: Reduced from 2 days to 4 hours
Client Satisfaction: 50% improvement in satisfaction scores
Campaign Optimization: 35% improvement in average campaign ROI
Tools Used:
Excel to JSON Web App for quick conversions
Pro features for batch processing (up to 20 files)
Use Case 6: Educational Institution Grade Management
The Challenge
A university manages student grades and academic records in Excel for easy access by faculty and staff. However, their student information system requires JSON format. The university needs to:
Convert grade records from Excel to JSON for system integration
Handle multiple courses and semesters in separate sheets
Maintain consistent data structure across departments
Support faculty with varying technical skills
The Solution
Workflow:
Data Entry: Faculty enter grades into Excel workbooks
Sheet Organization: Each course/semester is a separate sheet
Conversion: Excel to JSON Excel Add-in converts all sheets at once
Validation: Automated checks ensure data consistency
System Upload: JSON data is uploaded to student information system
Results:
Faculty Efficiency: 75% faster grade submission process
Data Accuracy: 95% reduction in data entry errors
Student Access: Grades available 2 days earlier each semester
Department Coordination: Consistent format across all departments
A real estate firm manages property listings in Excel for easy editing by agents. However, their website and multiple listing services (MLS) require JSON format. The firm needs to:
Convert property listings from Excel to JSON daily
Maintain consistent data structure across multiple listing services
Handle complex property data with nested structures
Support multiple property types in separate sheets
The Solution
Workflow:
Data Entry: Agents update Excel workbooks with property information
Automated Conversion: Scheduled script uses Excel to JSON API
Data Enrichment: Excel formulas calculate derived metrics (price per sq ft, days on market)
Multi-Platform Distribution: JSON data is distributed to website, MLS services, and partner sites
Quality Control: Automated validation ensures data accuracy
Results:
Time to Market: Properties appear on website 2 hours earlier
Data Accuracy: 98% accuracy rate (vs 92% manual)
Agent Productivity: 40% increase in listings per agent
Competitive Advantage: Better market insights lead to 30% more successful deals
A manufacturing company manages inventory across multiple warehouses in Excel. Their supply chain management system requires JSON format for real-time updates. The company needs to:
Convert inventory data from Excel to JSON for system integration
Handle multiple warehouses and product categories
Support batch processing of large datasets
Maintain data consistency across all locations
The Solution
Workflow:
Data Collection: Inventory managers update Excel workbooks
Batch Conversion: Excel to JSON API processes files in batches
Data Validation: Automated checks ensure data integrity
System Integration: JSON data is uploaded to supply chain system
Real-Time Updates: Scheduled updates keep system current
Across all these use cases, several common factors contribute to success:
1. Automation
Organizations that automate their Excel to JSON conversions see the greatest benefits:
Reduced manual work
Fewer errors
Faster turnaround times
Consistent processes
2. Standardization
Using consistent conversion settings ensures:
Comparable data across sources
Easier analysis and reporting
Better collaboration
Reduced confusion
3. Integration
Integrating Excel to JSON into existing workflows provides:
Seamless data flow
Minimal disruption
Better adoption
Maximum value
4. Training
Training staff on Excel to JSON tools results in:
Better utilization
Fewer errors
More innovative uses
Higher satisfaction
Getting Started with Your Use Case
Step 1: Identify Your Needs
What are your specific requirements?
What data sources do you have?
What format do you need to convert to?
How often do you need to convert data?
Who will be using the converted data?
Step 2: Choose the Right Tool
Based on your needs, select the appropriate Excel to JSON tool:
Web App: For occasional, quick conversions
Excel Add-in: For Excel-heavy workflows
WPS Add-in: For WPS Office users
API: For automated, programmatic access
MCP Service: For AI and automation platforms
Step 3: Implement and Test
Start small and scale up:
Begin with a pilot project
Test with sample data
Validate results
Gather feedback
Refine the process
Step 4: Scale and Optimize
Once successful, expand and improve:
Automate repetitive tasks
Integrate with existing systems
Train additional users
Monitor performance
Continuously improve
Conclusion
Excel to JSON is being used across industries to solve real business problems. From e-commerce to healthcare, from manufacturing to education, organizations are leveraging Excel to JSON to:
Save time and reduce errors
Improve data analysis and insights
Enable better decision-making
Increase operational efficiency
The key is to choose the right tool for your specific needs and integrate it effectively into your workflows. With the right approach, Excel to JSON can transform how you work with data.
What’s Next?
We hope this series has given you a comprehensive understanding of Excel to JSON and its capabilities. Whether you’re a business analyst, developer, data scientist, or casual user, there’s an Excel to JSON tool that fits your needs.
Ready to get started? Visit the Excel to JSON Web App to convert your first Excel file to JSON today!
For questions, support, or to share your own use cases, contact the team at he.yang@wtsolutions.cn.
This post was originally published on 2026-01-18 at WTSolutions Blog. View the original article here.
]]><p>Welcome to the final post in our Excel to JSON series! We’ve covered all the tools, features, and technical details. Today, we’reMCP Service Integration - Excel to JSON for AI and Automation Workflowshttps://blog.wtsolutions.cn/excel-to-json-series9-mcp-service-en/2026-01-17T20:00:00.000Z2026-03-28T01:43:43.575ZWelcome to part 9 of our Excel to JSON series! We’ve covered the API for programmatic access, and today we’re exploring MCP Service - an advanced option for developers working with AI tools and automation platforms.
What is MCP?
MCP (Model Context Protocol) is an open protocol that enables AI assistants and automation tools to interact with external services and data sources. The Excel to JSON MCP Service allows AI models and automation platforms to convert Excel to JSON format seamlessly within their workflows.
Why Use MCP Service?
The MCP Service is ideal for:
AI Assistants: Enable Claude, GPT, and other AI models to convert Excel to JSON
Automation Platforms: Integrate with n8n, Make.com, and other automation tools
Custom Workflows: Build automated data processing pipelines
Developer Tools: Create custom integrations with MCP-compatible platforms
No-Code/Low-Code Solutions: Enable non-technical users to automate conversions
Getting Started with MCP Service
Installation
The Excel to JSON MCP Service is available as an npm package:
The MCP Service can be integrated with other AI platforms that support MCP:
- **Claude API**: Direct integration in your applications - **Custom AI Solutions**: Build your own AI assistants with MCP support - **Enterprise AI Platforms**: Integrate with enterprise AI systems
## Automation Workflows
### n8n Integration
n8n is a powerful automation platform that supports MCP. Here's how to use Excel to JSON in n8n workflows:
#### Workflow Example: Excel to JSON to Database
1. **Webhook Trigger**: Trigger on schedule or external event 2. **Excel Data Node**: Read Excel file from local storage or HTTP 3. **MCP Server Node**: Convert Excel to JSON using MCP Service 4. **Database Node**: Save JSON data to database 5. **Notification Node**: Send success notification
#### Configuration Steps
1. Add MCP Server node to your n8n workflow 2. Select "excel-to-json" as the server 3. Configure input data (Excel file or data) 4. Set conversion options (flat/nested, delimiter, etc.) 5. Connect to output nodes (database, API, etc.)
### Make.com Integration
Make.com (formerly Integromat) also supports MCP servers:
#### Scenario: Automated Report Generation
1. **Google Sheets**: Read Excel data from Google Sheets 2. **MCP Server**: Convert to JSON using Excel to JSON MCP Service 3. **Format Data**: Apply formatting and calculations 4. **Email**: Send formatted report as email 5. **Slack**: Notify team that report is ready
## Custom MCP Client Implementation
For developers who want to build custom MCP clients:
### Python MCP Client
```python import asyncio from mcp import ClientSession, StdioServerParameters from mcp.client.stdio import stdio_client
async def convert_excel_to_json(excel_data): # Create server parameters server_params = StdioServerParameters( command="npx", args=["-y", "@wtsolutions/excel-to-json-mcp"], env={"PRO_CODE": "your-email@example.com"} ) # Connect to MCP server async with stdio_client(server_params) as (read, write): async with ClientSession(read, write) as session: # Initialize session await session.initialize() # Call conversion tool result = await session.call_tool( "convert_excel_to_json", arguments={ "data": excel_data, "options": { "jsonMode": "nested", "delimiter": ".", "header": "row" } } ) return result
Now that you understand MCP Service integration, you have a complete picture of all Excel to JSON tools available. In our final post, we’ll explore real-world use cases and practical examples that demonstrate how organizations are using Excel to JSON to solve actual business problems.
Ready to integrate with MCP? Check out the GitHub repository for detailed documentation and examples!
This post was originally published on 2026-01-18 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 9 of our Excel to JSON series! We’ve covered the API for programmatic access, and today we’re exploring MCP Service - anAdvanced Features - Unlocking Power of Excel to JSON Prohttps://blog.wtsolutions.cn/excel-to-json-series7-pro-features-en/2026-01-17T18:00:00.000Z2026-03-28T01:43:45.560ZWelcome to part 7 of our Excel to JSON series! We’ve covered the basics of Excel to JSON, including the various tools, supported formats, and conversion modes. Today, we’re exploring advanced Pro features that can take your Excel to JSON conversions to the next level.
What Are Pro Features?
Excel to JSON offers a robust free tier that handles most basic conversion needs. However, power users and professionals often need more advanced capabilities. That’s where Pro features come in.
Pro features are designed for users who:
Process complex Excel data structures
Need fine-grained control over JSON output
Require custom data type handling
Want to optimize their conversion workflows
Prefer an ad-free experience
Pro Feature Overview
Here’s a comprehensive list of all Pro features available across Excel to JSON tools:
1. First Column as Header
Description: Use the first column as headers instead of the first row.
Use Case: When your Excel data is organized with attributes as rows rather than columns.
Description: Control how single-row Excel data is converted.
Options:
Array: Keep as array of one object [{...}] (default)
Object: Convert to single object {...}
Use Case: When you have only one data row and want a single JSON object.
Example:
Excel:
Name
Age
John
25
Array:
1 2 3 4 5 6
[ { "Name":"John", "Age":25 } ]
Object:
1 2 3 4
{ "Name":"John", "Age":25 }
8. Custom Filename
Description: Specify a custom filename for your JSON output file.
Use Case: When you need to follow specific naming conventions for your organization.
Requirements:
Maximum length: 200 characters (excluding extension)
File extension will be automatically set to .json
Cannot start or end with dots (.) or spaces
Cannot use Windows reserved names (e.g., CON, PRN, AUX, etc.)
Cannot contain characters: < > : \ / | ? *
Examples:
Valid: data.json, my_data.json, export_2024.json
Invalid: .data.json, con.json, my:data.json
9. No Ads
Description: Enjoy a distraction-free experience without advertisements.
Benefits:
Professional environment for client presentations
Faster workflow without waiting for ads
Better focus on your data
Cleaner interface
Pro Code Explained
What is a Pro Code?
Your Pro Code is simply the email address you used during the checkout process when you subscribed to Excel to JSON. This code:
Unlocks all Pro features
Works across all Excel to JSON tools
Is valid for both Excel to JSON and JSON to Excel products
Can be used on up to 10 devices
Where to Enter Your Pro Code
You’ll enter your Pro Code in the conversion settings when using:
Web App
Excel Add-in
WPS Add-in
API (in the options parameter)
Pricing and Subscription
Subscription Options
Excel to JSON offers flexible subscription plans:
Billing Cycle
Price (USD)
Value
Monthly
$2.66/month
Flexibility
Quarterly
$3.66/quarter
15% savings
Half-Yearly
$4.99/half-year
25% savings
Yearly
$5.99/year
Best value
7-Day Free Trial
All plans include a 7-day free trial:
Full access to all Pro features
No credit card required to start
Cancel anytime before day 7 at no charge
What’s Included
Each Pro Code gives you:
Access to Pro features on 10 devices
Both Excel to JSON and JSON to Excel tools
All platforms: Web App, Excel Add-in, WPS Add-in, API, MCP
Payment Methods
Accepted through Paddle:
Credit/Debit Cards (Visa, Mastercard, Amex, etc.)
PayPal
Apple Pay (Apple devices)
Google Pay (Android devices)
Various local payment methods
Feature Comparison
Free vs Pro Features
Feature
Free
Pro
Basic Excel to JSON conversion
✅
✅
Flat JSON Mode
✅
✅
Nested JSON Mode
✅
✅
Copy and paste Excel data
✅
✅
Load Excel files
✅
✅
First row as header
✅
✅
First column as header
❌
✅
Custom nested delimiters
❌
✅
Empty cell handling (null/exclude)
❌
✅
Boolean format (string/number)
❌
✅
Date format (ISO 8601)
❌
✅
JSON output format (2D Array)
❌
✅
Single object JSON format
❌
✅
Custom filename
❌
✅
No ads
❌
✅
Getting Started with Pro Features
Step 1: Start Your Free Trial
Visit pricing page
Choose your preferred billing cycle
Start your 7-day free trial
Receive your Pro Code (your email)
Step 2: Enter Your Pro Code
Open Excel to JSON (Web App, Excel Add-in, or WPS Add-in)
Locate Pro Code field in conversion settings
Enter your email address as Pro Code
Pro features are now unlocked
Step 3: Explore Pro Features
Try out advanced features:
Use first column as header for transposed data
Experiment with different delimiters
Set boolean format to match your API requirements
Use date format for ISO 8601 compatibility
Choose JSON output format for your target system
Customize filenames for organization
Pro Tips for Power Users
Tip 1: Create Conversion Templates
Save your preferred settings as templates:
Document your standard delimiter choice
Note your typical boolean format
Create workflows for common conversion scenarios
Standardize filename conventions
Tip 2: Automate with Pro Features
For recurring tasks:
Organize files in consistent folders
Use custom filenames for versioning
Set appropriate empty cell handling
Choose JSON format that matches your systems
Tip 3: Leverage Conversion Reports
Use conversion results for:
Quality control
Error tracking
Process documentation
Compliance requirements
Tip 4: Optimize for Your Workflow
Customize settings based on your needs:
Choose delimiters that match your team’s conventions
Set boolean format to match your API requirements
Use date format for database compatibility
Select JSON output format for your target system
ROI Calculation
Let’s calculate the return on investment for Pro features:
Time Savings Scenario
Without Pro:
Manually formatting JSON: 10 minutes per conversion
Fixing data type issues: 5 minutes per conversion
10 conversions per day
Total: 150 minutes (2.5 hours) per day
With Pro:
One-click conversion with Pro settings: 1 minute per conversion
No data type issues: 0 minutes
10 conversions per day
Total: 10 minutes per day
Daily Time Saved: 140 minutes (2.3 hours) Monthly Time Saved: 69 hours Yearly Time Saved: 828 hours
At a typical hourly rate of $50/hour: Yearly Value: $41,400 Yearly Cost: $5.99 (Pro subscription) ROI: 691,152%
Next Steps
Now that you understand the power of Pro features, you’re ready to explore programmatic access. In our next post, we’ll cover the Excel to JSON API, which allows developers to integrate Excel to JSON functionality into their applications and workflows.
Ready to unlock Pro features? Start your 7-day free trial today and experience the full power of Excel to JSON!
This post was originally published on 2026-01-18 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 7 of our Excel to JSON series! We’ve covered the basics of Excel to JSON, including the various tools, supportedFlat vs Nested JSON Conversion - Deep Dive into Conversion Modeshttps://blog.wtsolutions.cn/excel-to-json-series6-conversion-modes-en/2026-01-17T17:00:00.000Z2026-03-28T01:43:46.033ZWelcome to part 6 of our Excel to JSON series! We’ve covered the various tools and supported data formats. Today, we’re diving deep into two conversion modes: Flat JSON Mode and Nested JSON Mode. Understanding these modes is crucial for getting the best results from your Excel to JSON conversions.
The Two Conversion Modes
Excel to JSON offers two distinct conversion modes, each designed for different types of Excel data structures:
Flat JSON Mode: For simple, non-hierarchical Excel data
Nested JSON Mode: For Excel data with column headers that indicate nested structures
Choosing the right mode can make the difference between clean, usable JSON data and data that’s difficult to work with.
Flat JSON Mode
What is Flat JSON Mode?
Flat JSON Mode is designed for simple Excel structures where each column represents a single-level property. Each column header becomes a direct JSON key.
When to Use Flat JSON Mode
Use Flat JSON Mode when your Excel:
Has simple, one-level column headers
Contains no hierarchical or nested data structures
You want a straightforward JSON output
Your column headers don’t use dot notation or similar patterns
Limited Structure: Can’t represent hierarchical data
Flat Keys: All keys are at the same level
Not Ideal for Complex Data: Doesn’t leverage JSON’s nesting capabilities
Nested JSON Mode
What is Nested JSON Mode?
Nested JSON Mode is designed for Excel data where column headers indicate hierarchical or nested structures. It uses dot notation in column headers to create nested JSON objects.
When to Use Nested JSON Mode
Use Nested JSON Mode when your Excel:
Has column headers with dot notation (e.g., student.name, student.age)
Are column headers simple or do they use dot notation?
Do you have hierarchical relationships?
What will be the primary use case for the JSON?
2. Consider Your Use Case
Think about what you’ll do with the JSON data:
Will you need to access nested properties?
Do you prefer flat or hierarchical structure?
Are you working with systems that expect a specific format?
3. Test Both Modes
When in doubt, try both modes:
Convert with Flat Mode first
Convert with Nested Mode
Compare the results
Choose the one that better fits your needs
4. Use Pro Features Wisely
If you have Pro access:
Experiment with different delimiters
Find the delimiter that works best with your data
Test with various nested structures
Common Pitfalls
Pitfall 1: Using Flat Mode for Nested Data
Problem: You use Flat Mode for Excel data with dot notation headers, resulting in flat JSON that doesn’t represent the intended structure.
Solution: Switch to Nested Mode to properly represent hierarchical data.
Pitfall 2: Using Nested Mode for Simple Data
Problem: You use Nested Mode for simple Excel data, creating unnecessary complexity.
Solution: Use Flat Mode for simple, one-level structures.
Pitfall 3: Wrong Delimiter Choice
Problem: Your chosen delimiter conflicts with your data or naming conventions.
Solution: Choose a delimiter that works with your data and team conventions.
Pitfall 4: Inconsistent Header Naming
Problem: Column headers don’t consistently use or not use dot notation.
Solution: Standardize your header naming conventions before conversion.
Next Steps
Now that you understand the differences between Flat and Nested JSON conversion modes, you’re ready to explore advanced features available in Excel to JSON. In our next post, we’ll cover Pro features and customization options that can take your Excel to JSON conversions to the next level.
Ready to try different conversion modes? Visit the Excel to JSON Web App and experiment with both modes!
This post was originally published on 2026-01-18 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 6 of our Excel to JSON series! We’ve covered the various tools and supported data formats. Today, we’re diving deep intoExcel to JSON WPS Add-in - Perfect for WPS Office Usershttps://blog.wtsolutions.cn/excel-to-json-series4-wps-addin-tutorial-en/2026-01-17T15:00:00.000Z2026-03-28T01:43:52.983ZWelcome to part 4 of our Excel to JSON series! We’ve covered the Web App and Excel Add-in, and today we’re focusing on the WPS Add-in - the ideal solution for users who prefer WPS Office over Microsoft Excel.
Why Use the WPS Add-in?
WPS Office has gained tremendous popularity, especially in certain regions and among users who appreciate its lightweight, fast, and feature-rich alternative to Microsoft Office. The Excel to JSON WPS Add-in brings the same powerful Excel to JSON capabilities to WPS users:
Native WPS Integration: Works seamlessly within WPS Spreadsheets
Lightweight Performance: Optimized for WPS’s efficient architecture
Cross-Platform Support: Works on both Windows and Linux
Cost-Effective: Perfect for users who prefer WPS’s free tier
Familiar Workflow: Same intuitive interface as the Excel Add-in
System Requirements
The WPS Add-in is designed for:
WPS Office on Windows (latest version)
WPS Office on Linux (latest version)
Installing the WPS Add-in
Installation Process
Installing the WPS Add-in follows a side-loading process, which is slightly different from the Excel Add-in:
WPS Office is known for its lightweight and fast performance. The WPS Add-in takes advantage of this:
Faster Loading: WPS launches quickly, making it ideal for quick conversions
Lower Resource Usage: Uses less system resources than Excel
Quick File Operations: Efficient file handling for conversions
Cost Considerations
Free Tier Available: WPS Office offers a free version with robust features
No Microsoft License Required: Perfect for users who don’t have Office 365
Budget-Friendly: Great for startups and small businesses
Linux Support
The WPS Add-in is one of the few Excel to JSON solutions that supports Linux natively:
Works seamlessly on popular Linux distributions
Perfect for developers and tech teams using Linux
No need for virtualization or workarounds
Tips for WPS Add-in Users
Keyboard Shortcuts
Customize WPS keyboard shortcuts to quickly access the add-in
Add the Excel to JSON button to your Quick Access Toolbar
Integration with WPS Features
Use WPS’s built-in templates for professional documents
Leverage WPS’s charting capabilities for data visualization
Apply WPS’s conditional formatting to highlight key data points
File Management
Create dedicated workbooks for different types of conversions
Use WPS’s file organization features to manage converted data
Take advantage of WPS’s cloud integration for sharing
Troubleshooting
Installation Issues
Ensure you’re using the latest version of WPS Office
Check that you have sufficient permissions to install add-ins
Try restarting WPS after installation
Add-in Not Appearing
Verify the add-in is enabled in WPS settings
Check that you installed the correct version for your OS (Windows/Linux)
Try reinstalling the add-in
Conversion Errors
Verify your Excel data has at least two rows
Check that header row doesn’t contain empty cells
Ensure data types are consistent
WPS vs Excel Add-in: Which to Choose?
Choose the WPS Add-in when:
You prefer WPS Office over Microsoft Excel
You’re working on Linux
You want a lighter, faster application
You’re using WPS’s free tier
You need cross-platform compatibility (Windows/Linux)
Choose the Excel Add-in when:
You’re already invested in the Microsoft Office ecosystem
You need advanced Excel-specific features
You’re collaborating with Excel users
You require Office 365 integration
Next Steps
Now that you’ve explored the WPS Add-in, you have a good understanding of the three main user-facing tools: Web App, Excel Add-in, and WPS Add-in. In our next post, we’ll dive into the technical side by exploring the Excel data formats that Excel to JSON supports.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 4 of our Excel to JSON series! We’ve covered the Web App and Excel Add-in, and today we’re focusing on the WPS Add-in -Excel to JSON Add-in - Seamless Integration Within Excelhttps://blog.wtsolutions.cn/excel-to-json-series3-excel-addin-tutorial-en/2026-01-17T14:00:00.000Z2026-03-28T01:43:53.795ZWelcome to part 3 of our Excel to JSON series! So far, we’ve covered the introduction and the Web App. Today, we’re exploring the Excel Add-in - the perfect solution for users who spend their days working in Excel and want to convert Excel data to JSON without leaving their familiar environment.
Why Use the Excel Add-in?
The Excel to JSON Excel Add-in is designed for power users who live in Excel. Here’s why it might be the perfect choice for you:
Seamless Integration: Works directly within Excel - no switching between applications
One-Click Conversion: Convert Excel to JSON with a single button click
Multiple Data Sources: Convert selected ranges, visible sheets, or entire workbook
Familiar Interface: No learning curve if you already know Excel
Works Everywhere: Compatible with Excel 2013+, Excel Online, and Office 365
System Requirements
Before installing, ensure your system meets these requirements:
Excel 2013 Service Pack 1 or later
Excel 2016 for Mac
Excel 2016 or later
Excel Online
Office 365
Installing the Excel Add-in
Step-by-Step Installation
Open Excel: Launch Excel 2013, 2016, or Excel Online
Navigate to Add-ins: Go to either the Home tab or Insert tab
Search for Add-ins: Click on “Add-ins” and search for “Excel to JSON”
Install: Follow the on-screen instructions to install the add-in
Locate the Button: You’ll see a “Convert” button with the Excel to JSON logo in your Home tab
That’s it! The add-in is now ready to use.
Video Guide
For visual learners, check out this installation guide:
Add the “Convert” button to your Quick Access Toolbar
Create custom keyboard shortcuts for frequently used actions
Integration with Excel Features
Use Excel’s data validation before conversion
Apply conditional formatting to highlight key data
Use Excel formulas to prepare data for conversion
Troubleshooting
Add-in Not Appearing
Ensure you’re using a supported Excel version
Check that the add-in is enabled in File > Options > Add-ins
Try restarting Excel
Conversion Errors
Verify your Excel data has at least two rows
Check that header row doesn’t contain empty cells
Ensure data types are consistent
Performance Issues
Large workbooks may take longer to process
Consider converting sheets individually
Close other Excel workbooks to free up memory
When to Use the Excel Add-in vs Web App
Choose the Excel Add-in when:
You work primarily in Excel
You need to analyze data immediately after conversion
You want to integrate Excel to JSON into your Excel workflows
You prefer a desktop application experience
You need to convert entire workbooks or multiple sheets
Choose the Web App when:
You need to convert files quickly without installation
You’re working on a device without Excel
You want to share the conversion process with others
You only need occasional conversions
You’re working with data from Google Sheets or other spreadsheet software
Next Steps
Now that you’ve explored the Excel Add-in, you might be interested in exploring other integration options. In our next post, we’ll cover the WPS Add-in for users who prefer WPS Office over Microsoft Excel.
Ready to install the Excel Add-in? Open Excel and search for “Excel to JSON” in the Add-ins store today!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 3 of our Excel to JSON series! So far, we’ve covered the introduction and the Web App. Today, we’re exploring the ExcelGetting Started with Excel to JSON Web App - Convert in Secondshttps://blog.wtsolutions.cn/excel-to-json-series2-webapp-tutorial-en/2026-01-17T13:00:00.000Z2026-03-28T01:43:54.830ZWelcome back to our Excel to JSON series! In our previous post, we introduced the Excel to JSON toolkit and its various components. Today, we’re diving into the quickest and easiest way to convert Excel to JSON: the Web App.
Why Use the Web App?
The Excel to JSON Web App is perfect when you need to convert Excel files quickly without installing any software. Here’s why it’s ideal:
No Installation Required: Works directly in your browser
Cross-Platform: Compatible with Windows, Mac, Linux, Android, and iOS
Instant Access: Start converting immediately
Privacy-Friendly: All processing happens client-side in your browser
Multiple Data Sources: Accepts Excel data, CSV data, or copy-paste from any spreadsheet software
Getting Started in 3 Simple Steps
Step 1: Open the Web App
Simply open your web browser (Chrome, Firefox, Safari, Edge, or any modern browser) and navigate to:
That’s it! No registration, no login, no installation. The app loads instantly and you’re ready to go.
Step 2: Prepare Your Excel Data
You have three ways to load your Excel data:
Option A: Copy and Paste
The simplest method - just copy your Excel data and paste it directly into the text area provided. You’ll see a live preview of your Excel data below the text area, so you can verify the data before conversion.
What You Can Paste:
Data copied directly from Excel
Data from Google Sheets
Data from Mac Numbers
Data from any other Excel-compatible software
Comma-separated CSV data
Option B: Load Excel File
Click the “Load Excel” button to select Excel files from your computer. This is perfect when you have:
Large Excel files
Multiple sheets to convert
Files you want to keep organized
Step 3: Configure and Convert
Before converting, you can customize the conversion settings:
Conversion Mode
Choose between:
Flat JSON Mode: Best for simple Excel structures without hierarchical data
Nested JSON Mode: Perfect for Excel data with column headers that indicate nested structures
Header Selection
Choose how to identify headers:
First Row as Header: The first row becomes JSON keys
First Column as Header (Pro Feature): The first column becomes JSON keys
Nested Delimiter (Pro Feature)
When using Nested JSON Mode, you can choose how nested keys are separated:
Dot (.) - Default: student.name
Underscore (_): student_name
Double Underscore (__): student__name
Forward Slash (/): student/name
Once your settings are configured, click the “Go” button and watch the magic happen!
Understanding the Output
After conversion, you’ll see:
Live Preview: A preview of your JSON data appears below the “Go” button
Multiple Save Options: Three ways to save your JSON
Copy and Paste: Copy JSON from textarea and paste anywhere
Copy to Clipboard: One-click to copy JSON to clipboard
Save to File: Download JSON file directly to your computer
A Practical Example
Let’s walk through converting a simple Excel sheet:
Original Excel Data:
Name
Age
IsStudent
John Doe
25
FALSE
Jane Smith
30
TRUE
Steps:
Copy the Excel data (select cells A1:C3 and copy)
Paste it into the Web App text area
Select Flat JSON Mode (since this is a simple structure)
You can also paste comma-separated CSV data directly into the Web App. This is useful when:
You’re working with CSV exports from other systems
You have data in text format
You want to quickly convert CSV to JSON
Limitations to Keep in Mind
The Web App has some limitations:
First row will always be considered as header
At least two rows are required (header + data)
Empty cells in header row are not allowed
Some Pro features (like custom filename) are only available in Excel/WPS add-ins
When to Use the Web App vs Other Tools
Choose the Web App when:
You need to convert files quickly without installation
You’re working on a device without Excel or WPS
You want to share the conversion process with others
You only need occasional conversions
You’re working with data from Google Sheets or other spreadsheet software
Choose the Excel Add-in when:
You work primarily in Excel
You need to analyze data immediately after conversion
You want to integrate Excel to JSON into your Excel workflows
You prefer a desktop application experience
Choose the WPS Add-in when:
You prefer WPS Office over Microsoft Excel
You’re working on Linux
You want a lighter, faster application
You’re using WPS’s free tier
Next Steps
Now that you’ve mastered the Web App, you might be wondering about other ways to use Excel to JSON. In our next post, we’ll explore the Excel Add-in, which provides seamless integration directly within Excel - perfect for users who work in Excel all day.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome back to our Excel to JSON series! In our previous post, we introduced the Excel to JSON toolkit and its various components.Introduction to Excel to JSON - The Ultimate Conversion Toolhttps://blog.wtsolutions.cn/excel-to-json-series1-introduction-en/2026-01-17T12:00:00.000Z2026-03-28T01:43:57.368ZIn today’s digital landscape, Excel remains the go-to tool for data management, analysis, and reporting across industries. However, as applications increasingly adopt JSON (JavaScript Object Notation) for data exchange, APIs, and configuration files, professionals frequently need to bridge these two worlds. This creates a common challenge: how do you efficiently convert Excel data to JSON format?
The Challenge of Excel to JSON Conversion
Converting Excel to JSON manually is not only time-consuming but also prone to errors. Complex data structures, multiple sheets, varying data types, and formatting inconsistencies can make the process frustrating. Many professionals find themselves spending hours copying and pasting data, writing custom scripts, or struggling with online converters that don’t handle their specific Excel structures.
Meet Excel to JSON by WTSolutions
Excel to JSON by WTSolutions is a comprehensive toolkit designed to solve this exact problem. It provides a full-scenario solution for converting Excel to JSON, supporting both flat and nested JSON structures with ease.
What Makes Excel to JSON Special?
Multiple Access Methods: Whether you prefer working in a web browser, directly within Excel, using WPS Office, or need programmatic access through APIs, Excel to JSON has you covered.
Flexible Conversion Modes: Support for both flat JSON (simple key-value pairs) and nested JSON (complex hierarchical structures) with customizable delimiters and header options.
Multiple Data Sources: Convert data from Excel files, CSV files, or even copy-paste directly from Excel, Google Sheets, or other spreadsheet software.
Multi-Sheet Support: Handle entire Excel workbooks with multiple sheets, converting each sheet to a separate JSON object.
Cross-Platform Compatibility: Works on Windows, Mac, Linux, and even mobile devices through the web app.
Available Tools in the Excel to JSON Suite
Excel to JSON offers five different ways to convert your data:
Web App: Convert Excel to JSON directly in your web browser - no installation required
Excel Add-in: Seamlessly integrated into Excel 2013 and later versions
WPS Add-in: Perfect for WPS Office users on Windows and Linux
API: Convert Excel to JSON via HTTPS POST requests for developers
MCP Service: Integration with Model Context Protocol for AI and automation workflows
Why Choose Excel to JSON?
Efficiency
Convert entire Excel workbooks or specific ranges in seconds, not hours. The intelligent conversion engine handles complex structures automatically.
Accuracy
Eliminate manual errors with automated conversion that preserves data integrity and handles various data types correctly.
Flexibility
Customize how Excel data is converted to JSON, choose your preferred delimiter, and control output format to match your specific needs.
Accessibility
Whether you’re a business analyst, developer, data scientist, or casual user, there’s a version of Excel to JSON that fits your workflow perfectly.
What’s Coming in This Series
Over the next several posts, we’ll dive deep into each aspect of Excel to JSON:
Getting started with the Web App
Using the Excel Add-in for seamless integration
Working with the WPS Add-in
Understanding supported Excel data formats
Mastering flat vs nested JSON conversion
Exploring advanced Pro features
Using the API for programmatic access
MCP Service integration for developers
Real-world use cases and examples
Get Started Today
Ready to transform how you work with Excel data? Visit the https://s.wtsolutions.cn/excel-to-json.html to start converting your Excel files to JSON immediately - no registration required.
In our next post, we’ll walk through the Web App step by step, showing you how to convert your first Excel file to JSON in under a minute. Stay tuned!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>In today’s digital landscape, Excel remains the go-to tool for data management, analysis, and reporting across industries. However, asReal-World Use Cases - How Organizations Use JSON to Excelhttps://blog.wtsolutions.cn/json-to-excel-series10-real-world-use-cases-en/2026-01-17T11:00:00.000Z2026-03-28T01:12:55.852ZWelcome to the final post in our JSON to Excel series! We’ve covered all the tools, features, and technical details. Today, we’re exploring real-world use cases - practical examples of how organizations and professionals are using JSON to Excel to solve actual business problems.
Use Case 1: E-commerce Data Analysis
The Challenge
An e-commerce company receives product data from multiple suppliers in JSON format via APIs. Each supplier has different JSON structures, and the company needs to:
Consolidate all product data into a single Excel file
Analyze pricing across suppliers
Generate weekly reports for management
Share data with non-technical teams
The Solution
Workflow:
Daily Data Collection: Automated scripts fetch JSON data from 15 supplier APIs
Batch Conversion: Using JSON to Excel Pro features, convert all 15 JSON files simultaneously
Data Consolidation: Each supplier’s data becomes a separate sheet in one Excel workbook
Analysis: Excel formulas and Pivot Tables analyze pricing, inventory, and trends
Distribution: Automated email sends the Excel file to stakeholders
Results:
Time Saved: 8 hours per week (from manual conversion to automated)
Error Reduction: 95% decrease in data entry errors
Faster Insights: Reports available 2 days earlier each week
# Process all suppliers suppliers = [ {"name": "Supplier A", "api": "https://api.supplier-a.com/products"}, {"name": "Supplier B", "api": "https://api.supplier-b.com/products"}, # ... more suppliers ]
all_data = {} for supplier in suppliers: json_data = fetch_supplier_data(supplier["api"]) result = convert_to_excel(json_data, supplier["name"]) all_data[supplier["name"]] = result["data"]
# Combine into single Excel file (using Excel library) # ... code to combine CSV data into Excel workbook
# Email to stakeholders # ... code to send email with Excel attachment
Use Case 2: Financial Services Reporting
The Challenge
A financial services firm processes transaction data from multiple payment gateways. Each gateway provides transaction data in JSON format with different structures. The firm needs to:
Reconcile transactions across all gateways
Generate daily reconciliation reports
Identify and flag suspicious transactions
Archive data for compliance and auditing
The Solution
Workflow:
Data Ingestion: JSON files are automatically downloaded from payment gateways
Standardized Conversion: JSON to Excel converts all files to a consistent format
Data Validation: Excel formulas validate transaction amounts and dates
Reconciliation: VLOOKUP and INDEX-MATCH match transactions across gateways
Reporting: Automated reports highlight discrepancies and anomalies
Archiving: Historical data is stored in Excel format for compliance
Results:
Reconciliation Time: Reduced from 4 hours to 30 minutes daily
Error Detection: 40% improvement in identifying suspicious transactions
defdetect_anomalies(csv_data): # Parse CSV and check for anomalies # ... implementation pass
# Main processing loop whileTrue: # Get data from sensors sensor_data = get_sensor_data() # Convert to Excel result = process_sensor_data(json.dumps(sensor_data)) ifnot result["isError"]: # Detect anomalies anomalies = detect_anomalies(result["data"]) if anomalies: # Alert maintenance team send_alert(anomalies) # Update dashboard update_dashboard(result["data"]) # Wait for next data batch time.sleep(60) # Process every minute
Use Case 5: Marketing Campaign Analysis
The Challenge
A marketing agency runs campaigns across multiple platforms (Facebook, Google Ads, Twitter, etc.). Each platform provides campaign performance data in JSON format with different structures. The agency needs to:
Consolidate data from all platforms
Calculate ROI across campaigns
Generate client reports
Identify best-performing strategies
The Solution
Workflow:
Data Collection: Automated scripts fetch JSON data from all platform APIs
Standardized Conversion: JSON to Excel converts all platform data to consistent format
Data Normalization: Excel formulas normalize metrics across platforms
ROI Calculation: Automated calculations determine campaign effectiveness
Report Generation: Client-specific reports are created and emailed
Results:
Data Consolidation: 100% of platform data integrated
Report Time: Reduced from 2 days to 4 hours
Client Satisfaction: 50% improvement in client satisfaction scores
Campaign Optimization: 35% improvement in average campaign ROI
Tools Used:
JSON to Excel Web App for quick conversions
Pro features for batch processing multiple platform files
Excel Add-in for ad-hoc analysis and client meetings
Sample Workflow
Morning: Automated script fetches yesterday’s data from all platforms
Batch Conversion: JSON to Excel converts 8 platform files simultaneously
Analysis: Excel Pivot Tables analyze performance across platforms
Report Creation: Automated report generation for each client
Distribution: Reports are emailed to clients by 9 AM
Use Case 6: Educational Institution Data Management
The Challenge
A university receives student data from various systems (registration, grades, attendance, library, etc.) in JSON format. The university needs to:
Consolidate student data for comprehensive analysis
Generate reports for faculty and administration
Identify at-risk students
Track student progress over time
The Solution
Workflow:
Data Integration: JSON files from all systems are collected daily
Conversion: JSON to Excel converts all files to a consistent format
Data Merging: Excel formulas merge data by student ID
Analysis: Statistical analysis identifies trends and at-risk students
Reporting: Automated reports are generated for different departments
Results:
Student Tracking: 100% of student data integrated
At-Risk Identification: 60% improvement in early identification
Report Efficiency: 70% faster report generation
Student Success: 25% improvement in student retention rates
Tools Used:
JSON to Excel Excel Add-in for faculty use
WPS Add-in for Linux-based administrative systems
Pro features for handling complex nested student records
Use Case 7: Real Estate Market Analysis
The Challenge
A real estate firm collects property data from multiple listing services (MLS) in JSON format. The firm needs to:
Consolidate property listings from all sources
Analyze market trends and pricing
Generate comparative market analyses
Create reports for clients
The Solution
Workflow:
Data Collection: JSON files are downloaded from multiple MLS APIs
Conversion: JSON to Excel converts all listings to a consistent format
Data Enrichment: Excel formulas calculate price per square foot, days on market, etc.
Report Generation: Client-specific reports are created with visualizations
Results:
Market Coverage: 100% of available listings analyzed
Analysis Speed: 80% faster market analysis
Client Satisfaction: 45% improvement in client satisfaction
Competitive Advantage: Better market insights lead to 30% more successful deals
Tools Used:
JSON to Excel Web App for quick conversions
Pro features for handling large property datasets
Excel Add-in for client meetings and presentations
Use Case 8: Supply Chain Management
The Challenge
A manufacturing company manages a complex supply chain with data from multiple suppliers, logistics providers, and internal systems. All data arrives in JSON format with different structures. The company needs to:
Track inventory across all locations
Monitor supplier performance
Optimize logistics and shipping
Generate comprehensive supply chain reports
The Solution
Workflow:
Data Ingestion: JSON data from all sources is collected continuously
Conversion: JSON to Excel API converts data in real-time
Data Integration: Excel formulas merge data by product and location
Analysis: Advanced analytics identify bottlenecks and opportunities
Reporting: Automated reports are generated for different stakeholders
Supplier Performance: 50% improvement in supplier accountability
Logistics Optimization: 35% reduction in shipping costs
Report Efficiency: 75% faster report generation
Tools Used:
JSON to Excel API for high-volume conversions
Pro features for batch processing
MCP Server integration with AI-powered analytics
Use Case 9: Scientific Research Data Processing
The Challenge
A research laboratory collects experimental data from various instruments in JSON format. The lab needs to:
Consolidate data from multiple experiments
Perform statistical analysis
Generate publication-ready figures and tables
Archive data for future reference
The Solution
Workflow:
Data Collection: JSON files are exported from instruments
Conversion: JSON to Excel converts all data to a consistent format
Analysis: Statistical analysis is performed using Excel and add-ins
Visualization: Charts and graphs are created for publications
Archiving: Data is archived in Excel format with metadata
Results:
Data Integration: 100% of experimental data consolidated
Analysis Time: 60% faster data analysis
Publication Quality: Improved consistency in figures and tables
Data Reusability: Easier to access and reuse historical data
Tools Used:
JSON to Excel Excel Add-in for researchers
Pro features for handling complex nested experimental data
Web App for quick conversions and collaborations
Use Case 10: Government Agency Data Reporting
The Challenge
A government agency receives data from various departments and external sources in JSON format. The agency needs to:
Consolidate data for comprehensive reporting
Ensure data accuracy and consistency
Generate reports for different stakeholders
Maintain compliance with reporting requirements
The Solution
Workflow:
Data Collection: JSON data from all sources is collected securely
Conversion: JSON to Excel converts all data to a consistent format
Validation: Excel formulas validate data against requirements
Analysis: Statistical analysis identifies trends and issues
Reporting: Automated reports are generated for different audiences
Results:
Data Consolidation: 100% of data sources integrated
Report Accuracy: 95% reduction in reporting errors
Report Efficiency: 70% faster report generation
Compliance: Full audit trail maintained
Tools Used:
JSON to Excel WPS Add-in for Linux-based government systems
Pro features for handling large government datasets
API for automated reporting workflows
Common Success Factors
Across all these use cases, several common factors contribute to success:
1. Automation
Organizations that automate their JSON to Excel conversions see the greatest benefits:
Reduced manual work
Fewer errors
Faster turnaround times
Consistent processes
2. Standardization
Using consistent conversion settings and formats ensures:
Comparable data across sources
Easier analysis
Better collaboration
Reduced confusion
3. Integration
Integrating JSON to Excel into existing workflows provides:
Seamless data flow
Minimal disruption
Better adoption
Maximum value
4. Training
Training staff on JSON to Excel tools results in:
Better utilization
Fewer errors
More innovative uses
Higher satisfaction
Getting Started with Your Use Case
Step 1: Identify Your Needs
What are your specific requirements?
What data sources do you have?
What format do you need the data in?
How often do you need to convert data?
Who will be using the converted data?
Step 2: Choose the Right Tool
Based on your needs, select the appropriate JSON to Excel tool:
Web App: For occasional, quick conversions
Excel Add-in: For Excel-heavy workflows
WPS Add-in: For WPS Office users
API: For automated, programmatic access
MCP Server: For AI and automation platforms
Step 3: Implement and Test
Start small and scale up:
Begin with a pilot project
Test with sample data
Validate results
Gather feedback
Refine the process
Step 4: Scale and Optimize
Once successful, expand and improve:
Automate repetitive tasks
Integrate with existing systems
Train additional users
Monitor performance
Continuously improve
Conclusion
JSON to Excel is being used across industries to solve real business problems. From e-commerce to healthcare, from manufacturing to government, organizations are leveraging JSON to Excel to:
Save time and reduce errors
Improve data analysis and insights
Enable better decision-making
Increase operational efficiency
The key is to choose the right tool for your specific needs and integrate it effectively into your workflows. With the right approach, JSON to Excel can transform how you work with data.
What’s Next?
We hope this series has given you a comprehensive understanding of JSON to Excel and its capabilities. Whether you’re a business analyst, developer, data scientist, or casual user, there’s a JSON to Excel tool that fits your needs.
Ready to get started? Visit the JSON to Excel Web App to convert your first JSON file to Excel today!
For questions, support, or to share your own use cases, contact the team at he.yang@wtsolutions.cn.
Thank you for following our JSON to Excel series. We hope you’ve found it valuable and informative. Happy converting!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to the final post in our JSON to Excel series! We’ve covered all the tools, features, and technical details. Today, we’reMCP Server Integration - JSON to Excel for AI and Automation Workflowshttps://blog.wtsolutions.cn/json-to-excel-series9-mcp-server-en/2026-01-17T10:00:00.000Z2026-03-28T01:12:04.560ZWelcome to part 9 of our JSON to Excel series! We’ve covered the API for programmatic access, and today we’re exploring the MCP (Model Context Protocol) Server integration - an advanced option for developers working with AI tools and automation workflows.
What is MCP?
MCP (Model Context Protocol) is an open protocol that enables AI assistants and automation tools to interact with external services and data sources. The JSON to Excel MCP Server allows AI models and automation platforms to convert JSON to Excel format seamlessly within their workflows.
Why Use the MCP Server?
The MCP Server is ideal for:
AI Assistants: Enable Claude, GPT, and other AI models to convert JSON to Excel
Automation Platforms: Integrate with n8n, Make.com, and other automation tools
Custom Workflows: Build automated data processing pipelines
Developer Tools: Create custom integrations with MCP-compatible platforms
No-Code/Low-Code Solutions: Enable non-technical users to automate conversions
Getting Started with MCP Server
Installation
The JSON to Excel MCP Server is available as an npm package:
The JSON to Excel MCP Server exposes tools that can be called by MCP clients:
Tool: convert_json_to_excel
Description: Converts JSON data to Excel format
Parameters:
data (string, required): JSON data to convert
options (object, optional): Conversion options
jsonMode (string): “flat” or “nested”
delimiter (string): “.”, “_”, “__”, or “/“
maxDepth (string): “unlimited” or “1”-“20”
Returns: Excel file data or conversion result
Error Handling
The MCP Server provides detailed error information:
1 2 3 4 5 6 7 8
{ "success":false, "error":{ "code":"INVALID_JSON", "message":"The provided JSON data is not valid", "details":"Unexpected token } in JSON at position 25" } }
Logging and Debugging
Enable detailed logging for troubleshooting:
1
DEBUG=mcp:* npx -y @wtsolutions/json-to-excel-mcp
Use Cases
Use Case 1: AI-Powered Data Analysis
Scenario: Use Claude to analyze JSON data and create Excel reports
Workflow:
User provides JSON data to Claude
Claude uses MCP Server to convert to Excel
Claude analyzes the Excel data
Claude provides insights and recommendations
Benefits:
Seamless integration with AI analysis
No manual conversion steps
Faster data-to-insights pipeline
Use Case 2: Automated Data Pipeline
Scenario: Daily automated conversion of API data to Excel
Workflow:
Cron job triggers at scheduled time
Script fetches JSON data from API
MCP Server converts to Excel
Excel file is uploaded to cloud storage
Team receives notification
Benefits:
Fully automated process
No manual intervention required
Reliable, scheduled execution
Use Case 3: Real-Time Data Processing
Scenario: Convert JSON data in real-time as it arrives
Workflow:
Webhook receives JSON data
MCP Server immediately converts to Excel
Excel file is processed by downstream systems
Results are sent back to originator
Benefits:
Near-instant conversion
Scalable for high-volume data
Integrates with existing systems
Use Case 4: Multi-Platform Data Aggregation
Scenario: Aggregate JSON data from multiple sources into Excel
Workflow:
Fetch JSON from Source A, B, C
Use MCP Server to convert each to Excel
Merge Excel files into single workbook
Apply formatting and calculations
Distribute to stakeholders
Benefits:
Centralized data processing
Consistent output format
Easy to maintain and update
Best Practices
1. Security Considerations
Protect Pro Codes: Don’t expose Pro Codes in client-side code
Validate Input: Always validate JSON before conversion
Use HTTPS: Ensure secure communication channels
Limit Access: Restrict MCP Server access as needed
2. Performance Optimization
Batch Processing: Convert multiple JSON objects together when possible
Caching: Cache conversion results for repeated data
Async Operations: Use asynchronous processing for better performance
Resource Management: Monitor and manage server resources
3. Error Handling
Graceful Degradation: Handle errors without crashing workflows
Retry Logic: Implement retry mechanisms for transient failures
Logging: Log errors for debugging and monitoring
User Feedback: Provide clear error messages to users
4. Testing
Unit Tests: Test MCP client implementations thoroughly
Integration Tests: Test with actual MCP Server
Edge Cases: Test with various JSON structures
Load Testing: Test performance under high load
Troubleshooting
Common Issues
Issue 1: Connection Failed
Cause: MCP Server not running or incorrect configuration
Solution: Verify server is running and check configuration
Issue 2: Invalid Pro Code
Cause: Pro Code is incorrect or expired
Solution: Verify Pro Code and ensure subscription is active
Issue 3: Conversion Timeout
Cause: Large JSON data or server overload
Solution: Split data into smaller chunks or retry later
Issue 4: Invalid JSON Format
Cause: Input JSON is malformed
Solution: Validate JSON before sending to MCP Server
Now that you understand the MCP Server integration, you have a complete picture of all JSON to Excel tools available. In our final post, we’ll explore real-world use cases and practical examples that demonstrate how organizations are using JSON to Excel to solve actual business problems.
Ready to integrate with MCP? Check out the GitHub repository for detailed documentation and examples!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 9 of our JSON to Excel series! We’ve covered the API for programmatic access, and today we’re exploring the MCP (ModelUsing the JSON to Excel API - Programmatic Access for Developershttps://blog.wtsolutions.cn/json-to-excel-series8-api-tutorial-en/2026-01-17T09:00:00.000Z2026-03-28T01:12:11.697ZWelcome to part 8 of our JSON to Excel series! We’ve covered the user-facing tools: Web App, Excel Add-in, and WPS Add-in, along with Pro features. Today, we’re exploring the JSON to Excel API - the perfect solution for developers who need to integrate JSON to Excel functionality into their applications and workflows.
Introduction to the JSON to Excel API
The JSON to Excel API provides a powerful, programmatic way to convert JSON data to CSV format (which can be easily imported into Excel). It’s designed for developers who need to:
Automate JSON to Excel conversions in their applications
Integrate conversion capabilities into existing workflows
Process JSON data from web services and APIs
Build custom solutions around JSON to Excel functionality
API Overview
Endpoint
The JSON to Excel API is accessible via a single endpoint:
1
POST https://mcp2.wtsolutions.cn/json-to-excel-api
Two Usage Modes
The API offers two distinct usage modes:
Standard Mode: Free of charge, with standard conversion rules
Pro Mode: Requires valid subscription, with custom conversion rules
Standard API Usage
Request Format
The Standard API accepts POST requests with application/json content type containing one of two parameters:
Parameter
Type
Required
Description
data
string
No
JSON data string to be converted. Must be valid JSON array or object
url
string
No
URL pointing to a JSON file. Either ‘data’ or ‘url’ must be provided
defgenerate_daily_report(): # Fetch data from your API api_response = requests.get('https://your-api.com/data') json_data = api_response.json() # Convert to CSV using JSON to Excel API conversion_response = requests.post( 'https://mcp2.wtsolutions.cn/json-to-excel-api', json={"data": json.dumps(json_data)} ) result = conversion_response.json() ifnot result["isError"]: # Save CSV file withopen(f"daily_report_{time.strftime('%Y%m%d')}.csv", "w") as f: f.write(result["data"]) print("Report generated successfully")
defconvert_with_cache(json_data): cache_key = get_cache_key(json_data) if cache_key in cache: return cache[cache_key] # Make API call response = requests.post( 'https://mcp2.wtsolutions.cn/json-to-excel-api', json={"data": json.dumps(json_data)} ) result = response.json() # Cache the result cache[cache_key] = result return result
Next Steps
Now that you understand how to use the JSON to Excel API programmatically, you’re ready to explore the MCP Server integration. In our next post, we’ll cover the MCP Server, which provides another way for developers to integrate JSON to Excel functionality into their workflows, particularly for those working with AI and automation tools.
Ready to integrate the API into your application? Start building your JSON to Excel integration today!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 8 of our JSON to Excel series! We’ve covered the user-facing tools: Web App, Excel Add-in, and WPS Add-in, along withAdvanced Features - Unlocking the Power of JSON to Excel Prohttps://blog.wtsolutions.cn/json-to-excel-series7-pro-features-en/2026-01-17T08:00:00.000Z2026-03-28T01:12:18.640ZWelcome to part 7 of our JSON to Excel series! We’ve covered the basics of JSON to Excel, including the various tools, supported formats, and conversion modes. Today, we’re exploring the advanced Pro features that can take your JSON to Excel conversions to the next level.
What Are Pro Features?
JSON to Excel offers a robust free tier that handles most basic conversion needs. However, power users and professionals often need more advanced capabilities. That’s where Pro features come in.
Pro features are designed for users who:
Process large volumes of JSON data
Work with complex nested structures
Need batch processing capabilities
Require customization options
Want an ad-free experience
Pro Feature Overview
Here’s a comprehensive list of all Pro features available across JSON to Excel tools:
1. Batch Processing
Load Multiple Local Files
Convert up to 20 JSON files at once
Each file becomes a separate sheet in your Excel workbook
Perfect for processing daily reports, historical data, or multiple API responses
Load Multiple Web URLs
Fetch JSON from up to 20 web URLs simultaneously
Great for aggregating data from multiple sources
Eliminates the need to download files first
2. Nested Delimiter Customization
Choose from four delimiter options for nested JSON:
Dot (.) - Default: user.name
Underscore (_): user_name
Double Underscore (__): user__name
Forward Slash (/): user/name
3. Max Depth Control
Control how deep nested objects are processed:
Unlimited: Process all levels (default)
1-20: Set a specific depth limit
Objects beyond the specified depth are converted to strings
4. No Ads
Enjoy a distraction-free experience:
Ads are removed after successful conversion with a valid Pro Code
Cleaner interface for professional use
Better focus on your data
Pro Code Explained
What is a Pro Code?
Your Pro Code is simply the email address you used during the checkout process when you subscribed to JSON to Excel. This code:
Unlocks all Pro features
Works across all JSON to Excel tools
Is valid for both JSON to Excel and Excel to JSON products
Can be used on up to 10 devices
Where to Enter Your Pro Code
You’ll enter your Pro Code in the conversion settings when using:
Web App
Excel Add-in
WPS Add-in
For API usage, you’ll include it in the options parameter of your request.
Detailed Feature Breakdown
Batch Processing in Depth
Use Case 1: Daily Report Processing
You receive daily sales reports as JSON files. Instead of processing them one by one:
Without Pro:
Open file 1 → Convert → Download
Open file 2 → Convert → Download
Open file 3 → Convert → Download
Manually combine all Excel files
With Pro:
Click “Load JSON File(s)”
Select all 20 files at once
Click “Go”
Download single Excel file with 20 sheets
Time Saved: 80% reduction in processing time
Use Case 2: API Data Aggregation
You need to fetch data from multiple API endpoints:
Without Pro:
Fetch data from URL 1 → Save as file → Convert
Fetch data from URL 2 → Save as file → Convert
Fetch data from URL 3 → Save as file → Convert
With Pro:
Click “Load JSON File(s) from Web URLs”
Enter all 20 URLs
Click “Go”
Download combined Excel file
Time Saved: 90% reduction in processing time
Conversion Report
When you process multiple files, JSON to Excel generates a detailed report:
Filename/URL
Status
Sheet Name
Error Message
data1.json
Success
data1
-
data2.json
Success
data2
-
data3.json
Failed
-
Invalid JSON format
This report helps you:
Track which files converted successfully
Identify and fix problematic files
Maintain audit trails for compliance
Nested Delimiter Customization
Why Delimiters Matter
The right delimiter can make your Excel data much more readable and easier to work with.
You have a very deep JSON structure (20+ levels), but you only need the first 3 levels:
Without Max Depth:
Creates extremely long column names
Slow processing
Difficult to work with in Excel
With Max Depth = 3:
Only first 3 levels are flattened
Levels 4+ are converted to strings
Faster processing
More manageable Excel structure
Result:
level1.level2.level3
level1.level2.level3_rest
data
{“level4”:{“level5”:{“value”:”deep”}}}
Use Case 2: Preserving Deep Structures
You want to preserve the structure of deeply nested configuration data:
Without Max Depth:
Everything is flattened
You lose the hierarchical structure
With Max Depth = 2:
First 2 levels are flattened
Deeper levels remain as JSON strings
You can parse them later if needed
No Ads Experience
Benefits of Ad-Free Usage
Professional Environment
Clean interface for client presentations
No distractions during data analysis
Better screenshots for documentation
Faster Workflow
No waiting for ads to load
Quicker page transitions
More efficient processing
Better User Experience
Focus on your data
Cleaner visual design
Reduced cognitive load
Pricing and Subscription
Subscription Options
JSON to Excel offers flexible subscription plans:
Billing Cycle
Price (USD)
Value
Monthly
$2.66/month
Flexibility
Quarterly
$3.66/quarter
15% savings
Half-Yearly
$4.99/half-year
25% savings
Yearly
$5.99/year
Best value
7-Day Free Trial
All plans include a 7-day free trial:
Full access to all Pro features
No credit card required to start
Cancel anytime before day 7 at no charge
What’s Included
Each Pro Code gives you:
Access to Pro features on 10 devices
Both JSON to Excel and Excel to JSON tools
All platforms: Web App, Excel Add-in, WPS Add-in, API, MCP
Payment Methods
Accepted through Paddle:
Credit/Debit Cards (Visa, Mastercard, Amex, etc.)
PayPal
Apple Pay (Apple devices)
Google Pay (Android devices)
Various local payment methods
Feature Comparison
Free vs Pro Features
Feature
Free
Pro
Basic JSON to Excel conversion
✅
✅
Flat JSON Mode
✅
✅
Nested JSON Mode
✅
✅
Load single local file
✅
✅
Copy and paste JSON
✅
✅
Batch processing (20 files)
❌
✅
Load from web URLs
❌
✅
Custom nested delimiters
❌
✅
Max depth control
❌
✅
No ads
❌
✅
Getting Started with Pro Features
Step 1: Start Your Free Trial
Visit the pricing page
Choose your preferred billing cycle
Start your 7-day free trial
Receive your Pro Code (your email)
Step 2: Enter Your Pro Code
Open JSON to Excel (Web App, Excel Add-in, or WPS Add-in)
Locate the Pro Code field in conversion settings
Enter your email address as the Pro Code
Pro features are now unlocked
Step 3: Explore Pro Features
Try out the advanced features:
Load multiple files at once
Experiment with different delimiters
Set Max Depth for complex structures
Enjoy the ad-free experience
Pro Tips for Power Users
Tip 1: Create Conversion Templates
Save your preferred settings as templates:
Document your standard delimiter choice
Note your typical Max Depth settings
Create workflows for common conversion scenarios
Tip 2: Automate Batch Processing
For recurring tasks:
Organize files in consistent folders
Use batch processing regularly
Schedule time for weekly/monthly conversions
Archive processed files for reference
Tip 3: Leverage Conversion Reports
Use the conversion report for:
Quality control
Error tracking
Process documentation
Compliance requirements
Tip 4: Optimize for Your Workflow
Customize settings based on your needs:
Choose delimiters that match your team’s conventions
Set Max Depth to balance detail and manageability
Use batch processing to save time
Take advantage of ad-free mode for professional work
ROI Calculation
Let’s calculate the return on investment for Pro features:
Time Savings Scenario
Without Pro:
Processing 20 files individually: 20 minutes
Manual file combination: 10 minutes
Total: 30 minutes per day
With Pro:
Batch processing 20 files: 2 minutes
Automatic combination: 0 minutes
Total: 2 minutes per day
Daily Time Saved: 28 minutes Monthly Time Saved: 11.7 hours Yearly Time Saved: 140 hours
At a typical hourly rate of $50/hour: Yearly Value: $7,000 Yearly Cost: $5.99 (Pro subscription) ROI: 116,757%
Next Steps
Now that you understand the power of Pro features, you’re ready to explore programmatic access. In our next post, we’ll cover the JSON to Excel API, which allows developers to integrate JSON to Excel functionality into their applications and workflows.
Ready to unlock Pro features? Start your 7-day free trial today and experience the full power of JSON to Excel!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 7 of our JSON to Excel series! We’ve covered the basics of JSON to Excel, including the various tools, supportedFlat vs Nested JSON Conversion - Deep Dive into Conversion Modeshttps://blog.wtsolutions.cn/json-to-excel-series6-conversion-modes-en/2026-01-17T07:00:00.000Z2026-03-28T01:12:23.041ZWelcome to part 6 of our JSON to Excel series! In our previous post, we explored the JSON formats that JSON to Excel supports. Today, we’re diving deep into the two conversion modes: Flat JSON Mode and Nested JSON Mode. Understanding these modes is crucial for getting the best results from your JSON to Excel conversions.
The Two Conversion Modes
JSON to Excel offers two distinct conversion modes, each designed for different types of JSON structures:
Flat JSON Mode: For simple, non-nested JSON structures
Nested JSON Mode: For complex JSON with nested objects
Choosing the right mode can make the difference between a clean, usable Excel spreadsheet and one that’s difficult to work with.
Flat JSON Mode
What is Flat JSON Mode?
Flat JSON Mode is designed for simple JSON structures where each object contains only primitive values (strings, numbers, booleans, null) and no nested objects or arrays that need to be expanded.
When to Use Flat JSON Mode
Use Flat JSON Mode when your JSON:
Has simple key-value pairs
Contains no nested objects
Has arrays that you want to keep as strings
You want a straightforward, one-level Excel structure
Limited Analysis: Nested data can’t be easily analyzed
String Manipulation: Need to parse strings to access nested data
Not Ideal for Complex Data: Doesn’t leverage Excel’s tabular structure for nested data
Nested JSON Mode
What is Nested JSON Mode?
Nested JSON Mode is designed for complex JSON structures with nested objects. It flattens nested structures into a tabular format, making them easy to analyze in Excel.
When to Use Nested JSON Mode
Use Nested JSON Mode when your JSON:
Contains nested objects that you want to analyze
Has hierarchical data structures
You want to access nested properties as separate columns
Note: Arrays like tags are still converted to strings even in Nested Mode.
Tips for Choosing the Right Mode
1. Analyze Your Data Structure
Look at your JSON and identify:
How many levels of nesting exist
Whether you need to analyze nested data
If nested data should be preserved as-is
2. Consider Your Use Case
Think about what you’ll do with the Excel data:
Will you need to filter/sort nested values?
Do you need to perform calculations on nested data?
Are you importing into another system?
3. Test Both Modes
When in doubt, try both modes:
Convert with Flat Mode first
Convert with Nested Mode
Compare the results
Choose the one that better fits your needs
4. Use Pro Features Wisely
If you have Pro access:
Experiment with different delimiters
Try different Max Depth settings
Find the combination that works best for your data
Common Pitfalls
Pitfall 1: Using Flat Mode for Complex Data
Problem: You use Flat Mode for deeply nested JSON, then struggle to analyze the data.
Solution: Switch to Nested Mode to flatten the structure.
Pitfall 2: Using Nested Mode for Simple Data
Problem: You use Nested Mode for simple JSON, creating unnecessarily complex column names.
Solution: Use Flat Mode for simple structures.
Pitfall 3: Not Setting Max Depth
Problem: Very deep nesting creates extremely long column names.
Solution: Set an appropriate Max Depth to limit flattening.
Pitfall 4: Wrong Delimiter Choice
Problem: Your chosen delimiter conflicts with your data or naming conventions.
Solution: Choose a delimiter that works with your data and team conventions.
Next Steps
Now that you understand the differences between Flat and Nested JSON conversion modes, you’re ready to explore the advanced features available in JSON to Excel. In our next post, we’ll cover Pro features and customization options that can take your JSON to Excel conversions to the next level.
Ready to try different conversion modes? Visit the JSON to Excel Web App and experiment with both modes!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 6 of our JSON to Excel series! In our previous post, we explored the JSON formats that JSON to Excel supports. Today,Understanding JSON Formats - What JSON to Excel Supportshttps://blog.wtsolutions.cn/json-to-excel-series5-json-formats-en/2026-01-17T06:00:00.000Z2026-03-28T01:12:28.462ZWelcome to part 5 of our JSON to Excel series! So far, we’ve covered the various tools available: Web App, Excel Add-in, and WPS Add-in. Today, we’re diving into the technical side by exploring exactly what JSON formats JSON to Excel supports and how to ensure your data is ready for conversion.
The JSON Format Requirements
JSON to Excel is designed to handle a wide variety of JSON structures, but it does have specific requirements. Understanding these requirements will help you prepare your data and avoid conversion errors.
Core Requirements
At its core, JSON to Excel requires:
Valid JSON: The input must be syntactically correct JSON
Array or Object: The top-level structure must be either an array of objects or a single object
Object Properties: Each object should contain key-value pairs
Data Types: Values can be strings, numbers, booleans, null, arrays, or nested objects
Supported JSON Structures
Structure 1: Array of Objects (Most Common)
This is the most common and recommended format for JSON to Excel:
Check Syntax: Verify brackets, braces, and commas are correct
Use a Validator: Use online tools like jsonlint.com
Preview in JSON to Excel: The Web App shows a preview before conversion
Step 2: Check Structure Requirements
Verify your JSON meets the requirements:
Array of objects or single object
1-1000 objects (for arrays)
1-100 properties per object
No empty objects
Step 3: Handle Edge Cases
Missing Properties: If some objects lack properties that others have, that’s fine - Excel will have blank cells for those values.
Nested Objects: Decide whether to use Flat or Nested mode based on your needs.
Arrays in Values: These will be converted to strings. If you need them expanded, consider restructuring your JSON.
Common Issues and Solutions
Issue 1: Too Many Objects
Problem: Your JSON has more than 1000 objects.
Solution: Split your JSON into multiple files, each with 1000 or fewer objects, then use batch processing.
Issue 2: Too Many Properties
Problem: Your objects have more than 100 properties.
Solution: Consider whether all properties are necessary. You might be able to restructure your data or split it into multiple related JSON files.
Issue 3: Deeply Nested Structures
Problem: Your JSON has very deep nesting (more than 20 levels).
Solution: Use the Max Depth setting to control how deep the conversion goes, or restructure your JSON to be less nested.
Issue 4: Invalid JSON
Problem: Your JSON has syntax errors.
Solution: Use a JSON validator to find and fix syntax errors before attempting conversion.
Best Practices
1. Consistent Property Names
Use consistent property names across objects for better Excel column organization.
2. Appropriate Data Types
Choose the right data types for your values (numbers for numeric data, booleans for true/false, etc.).
3. Reasonable Nesting
Avoid excessive nesting. If you have more than 5-6 levels, consider restructuring.
4. Clear Property Names
Use descriptive property names that will make sense as Excel column headers.
5. Validate Before Conversion
Always validate your JSON before attempting conversion to save time and avoid errors.
Next Steps
Now that you understand what JSON formats are supported, you’re ready to dive deeper into the conversion modes. In our next post, we’ll explore the differences between Flat and Nested JSON conversion modes and when to use each one.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 5 of our JSON to Excel series! So far, we’ve covered the various tools available: Web App, Excel Add-in, and WPS Add-in.JSON to Excel WPS Add-in - Perfect for WPS Office Usershttps://blog.wtsolutions.cn/json-to-excel-series4-wps-addin-tutorial-en/2026-01-17T05:00:00.000Z2026-03-28T01:12:33.473ZWelcome to part 4 of our JSON to Excel series! We’ve covered the Web App and Excel Add-in, and today we’re focusing on the WPS Add-in - the ideal solution for users who prefer WPS Office over Microsoft Excel.
Why Use the WPS Add-in?
WPS Office has gained tremendous popularity, especially in certain regions and among users who appreciate its lightweight, fast, and feature-rich alternative to Microsoft Office. The JSON to Excel WPS Add-in brings the same powerful JSON conversion capabilities to WPS users:
Native WPS Integration: Works seamlessly within WPS Spreadsheets
Lightweight Performance: Optimized for WPS’s efficient architecture
Cross-Platform Support: Works on both Windows and Linux
Cost-Effective: Perfect for users who prefer WPS’s free tier
Familiar Workflow: Same intuitive interface as the Excel Add-in
System Requirements
The WPS Add-in is designed for:
WPS Office on Windows (latest version)
WPS Office on Linux (latest version)
Installing the WPS Add-in
Installation Process
Installing the WPS Add-in follows a side-loading process, which is slightly different from the Excel Add-in:
Get columns like: orderId, customer.name, customer.email, items, total
Example 3: Multiple File Processing
You have weekly sales reports as JSON files:
Open WPS Add-in
Click “Load JSON File(s)”
Select all weekly files (week1.json, week2.json, etc.)
Click “Go”
Review the conversion report
Use WPS’s consolidation tools to combine data across sheets
WPS-Specific Advantages
Performance Benefits
WPS Office is known for its lightweight and fast performance. The WPS Add-in takes advantage of this:
Faster Loading: WPS launches quickly, making it ideal for quick conversions
Lower Resource Usage: Uses less system resources than Excel
Quick File Operations: Efficient file handling for batch processing
Cost Considerations
Free Tier Available: WPS Office offers a free version with robust features
No Microsoft License Required: Perfect for users who don’t have Office 365
Budget-Friendly: Great for startups and small businesses
Linux Support
The WPS Add-in is one of the few JSON to Excel solutions that supports Linux natively:
Works seamlessly on popular Linux distributions
Perfect for developers and tech teams using Linux
No need for virtualization or workarounds
Tips for WPS Add-in Users
Keyboard Shortcuts
Customize WPS keyboard shortcuts to quickly access the add-in
Add the JSON to Excel button to your Quick Access Toolbar
Integration with WPS Features
Use WPS’s built-in templates for professional reports
Leverage WPS’s charting capabilities for data visualization
Apply WPS’s conditional formatting to highlight key data points
File Management
Create dedicated workbooks for different types of JSON conversions
Use WPS’s file organization features to manage converted data
Take advantage of WPS’s cloud integration for sharing
Limitations
The WPS Add-in has the same limitations as other versions:
Maximum 1000 objects (rows) per conversion
Maximum 100 unique properties (columns) per dataset
Arrays in values are converted to strings
Maximum 20 files per batch conversion (Pro feature)
Troubleshooting
Installation Issues
Ensure you’re using the latest version of WPS Office
Check that you have sufficient permissions to install add-ins
Try restarting WPS after installation
Add-in Not Appearing
Verify the add-in is enabled in WPS settings
Check that you installed the correct version for your OS (Windows/Linux)
Try reinstalling the add-in
Conversion Errors
Validate your JSON format before conversion
Check that you’re not exceeding row/column limits
Ensure nested structures are properly formatted
WPS vs Excel Add-in: Which to Choose?
Choose the WPS Add-in when:
You prefer WPS Office over Microsoft Excel
You’re working on Linux
You want a lighter, faster application
You’re using WPS’s free tier
You need cross-platform compatibility (Windows/Linux)
Choose the Excel Add-in when:
You’re already invested in the Microsoft Office ecosystem
You need advanced Excel-specific features
You’re collaborating with Excel users
You require Office 365 integration
Next Steps
Now that you’ve explored the WPS Add-in, you have a good understanding of the three main user-facing tools: Web App, Excel Add-in, and WPS Add-in. In our next post, we’ll dive deeper into the technical side by exploring the JSON formats that JSON to Excel supports.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 4 of our JSON to Excel series! We’ve covered the Web App and Excel Add-in, and today we’re focusing on the WPS Add-in -JSON to Excel Add-in - Seamless Integration Within Excelhttps://blog.wtsolutions.cn/json-to-excel-series3-excel-addin-tutorial-en/2026-01-17T04:00:00.000Z2026-03-28T01:12:39.053ZWelcome to part 3 of our JSON to Excel series! So far, we’ve covered the introduction to JSON to Excel and the Web App. Today, we’re exploring the Excel Add-in - the perfect solution for users who spend their days working in Excel and want to convert JSON data without leaving their familiar environment.
Why Use the Excel Add-in?
The JSON to Excel Excel Add-in is designed for power users who live in Excel. Here’s why it might be the perfect choice for you:
Seamless Integration: Works directly within Excel - no switching between applications
One-Click Conversion: Convert JSON with a single button click
Automatic Sheet Creation: Results appear as new sheets in your workbook
Familiar Interface: No learning curve if you already know Excel
Works Everywhere: Compatible with Excel 2013+, Excel Online, and Office 365
Get columns like: customerId, name, contact.email, contact.phone, contact.address.street, contact.address.city, contact.address.zip
Use Case 3: Daily Report Processing
You receive daily sales reports as JSON files. Instead of opening each file separately:
Collect all JSON files in a folder
Open the Excel Add-in
Click “Load JSON File(s)”
Select all files (up to 20)
Click “Go”
Review the conversion report
Analyze all data in one workbook
Tips for Excel Add-in Users
Organize Your Workbook
Create a dedicated workbook for JSON conversions
Use descriptive sheet names after conversion
Keep original JSON data in a separate sheet for reference
Combine with Excel Features
Use Excel’s Pivot Tables to analyze converted JSON data
Apply conditional formatting to highlight key metrics
Use formulas to calculate derived fields
Create charts and graphs from your JSON data
Keyboard Shortcuts
After installation, you can access the add-in quickly:
Add the “Convert” button to your Quick Access Toolbar
Create custom keyboard shortcuts for frequently used actions
Limitations
Keep these limitations in mind:
Maximum 1000 objects (rows) per conversion
Maximum 100 unique properties (columns) per dataset
Arrays in values are converted to strings
Maximum 20 files per batch conversion (Pro feature)
Troubleshooting
Add-in Not Appearing
Ensure you’re using a supported Excel version
Check that the add-in is enabled in File > Options > Add-ins
Try restarting Excel
Conversion Errors
Verify your JSON is valid using the preview
Check that you’re not exceeding the row/column limits
Ensure nested structures are properly formatted
Performance Issues
Large files may take longer to process
Consider breaking very large JSON files into smaller chunks
Close other Excel workbooks to free up memory
When to Use the Excel Add-in vs Web App
Choose the Excel Add-in when:
You work primarily in Excel
You need to analyze data immediately after conversion
You want to integrate JSON conversion into your Excel workflows
You prefer a desktop application experience
Choose the Web App when:
You need to convert files quickly without installation
You’re working on a device without Excel
You want to share the conversion process with others
You only need occasional conversions
Next Steps
Now that you’re comfortable with the Excel Add-in, you might be interested in exploring other integration options. In our next post, we’ll cover the WPS Add-in for users who prefer WPS Office over Microsoft Excel.
Ready to install the Excel Add-in? Open Excel and search for “JSON to Excel” in the Add-ins store today!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 3 of our JSON to Excel series! So far, we’ve covered the introduction to JSON to Excel and the Web App. Today, we’reGetting Started with JSON to Excel Web App - Convert in Secondshttps://blog.wtsolutions.cn/json-to-excel-series2-webapp-tutorial-en/2026-01-17T03:00:00.000Z2026-03-28T01:12:45.738ZWelcome back to our JSON to Excel series! In our previous post, we introduced the JSON to Excel toolkit and its various components. Today, we’re diving into the quickest and easiest way to convert JSON to Excel: the Web App.
Why Use the Web App?
The JSON to Excel Web App is perfect when you need to convert JSON files quickly without installing any software. Here’s why it’s ideal:
No Installation Required: Works directly in your browser
Cross-Platform: Compatible with Windows, Mac, Linux, Android, and iOS
Instant Access: Start converting immediately
Privacy-Friendly: All processing happens client-side in your browser
Batch Processing: Convert multiple files at once (Pro feature)
Getting Started in 3 Simple Steps
Step 1: Open the Web App
Simply open your web browser (Chrome, Firefox, Safari, Edge, or any modern browser) and navigate to:
That’s it! No registration, no login, no installation. The app loads instantly and you’re ready to go.
Step 2: Prepare Your JSON Data
You have three ways to load your JSON data:
Option A: Copy and Paste
The simplest method - just copy your JSON data and paste it directly into the text area provided. You’ll see a live preview of your JSON below the text area, so you can verify the data before conversion.
Option B: Load Local Files
Click the “Load JSON File(s)” button to select JSON files from your computer. With the Pro version, you can load up to 20 files at once for batch processing. Each file will be converted to a separate sheet in your Excel file.
Option C: Load from Web URLs (Pro Feature)
For Pro users, you can also load JSON files directly from web URLs. This is perfect when you have JSON data hosted online and want to convert it without downloading first. You can load up to 20 URLs at once.
Step 3: Configure and Convert
Before converting, you can customize the conversion settings:
Conversion Mode
Choose between:
Flat JSON Mode: Best for simple JSON without nested structures
Nested JSON Mode: Perfect for complex JSON with nested objects
Nested Delimiter (Pro Feature)
When using Nested JSON Mode, you can choose how nested properties are separated:
Dot (.): Default - e.g., user.name
Underscore (_): e.g., user_name
Double Underscore (__): e.g., user__name
Forward Slash (/): e.g., user/name
Max Depth (Pro Feature)
Control how deep the converter processes nested objects:
Unlimited: Default - processes all levels
1-20: Set a specific depth limit
Once your settings are configured, click the “Go” button and watch the magic happen!
Understanding the Output
After conversion, you’ll see:
Live Preview: A preview of your Excel data appears at the bottom of the page
Download Button: Click to download your Excel file
Conversion Report: For batch conversions, you’ll see a detailed report showing:
Filename or URL
Conversion status (success/failure)
Sheet name (if successful)
Error message (if failed)
A Practical Example
Let’s walk through converting a simple JSON array:
Download the combined Excel file with separate sheets for each JSON file
Limitations to Keep in Mind
The Web App has some limitations:
Maximum 1000 objects (rows) per conversion
Maximum 100 unique properties (columns) per dataset
Arrays in values are converted to strings
Maximum 20 files per batch conversion (Pro feature)
When to Upgrade to Pro
The free version is perfect for occasional use with simple JSON structures. Consider upgrading to Pro if you:
Need to convert more than 1000 rows at once
Work with complex nested JSON structures
Require batch processing of multiple files
Want to load JSON from web URLs
Need custom delimiters or depth control
Prefer an ad-free experience
Next Steps
Now that you’ve mastered the Web App, you might be wondering about other ways to use JSON to Excel. In our next post, we’ll explore the Excel Add-in, which provides seamless integration directly within Excel - perfect for users who work in Excel all day.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome back to our JSON to Excel series! In our previous post, we introduced the JSON to Excel toolkit and its various components.Introduction to JSON to Excel - The Ultimate Conversion Toolhttps://blog.wtsolutions.cn/json-to-excel-series1-introduction-en/2026-01-17T02:00:00.000Z2026-03-28T01:13:02.997ZIn today’s data-driven world, JSON (JavaScript Object Notation) has become one of the most popular data formats for web APIs, configuration files, and data exchange between systems. However, when it comes to data analysis, reporting, and presentation, Excel remains the go-to tool for millions of professionals worldwide. This creates a common challenge: how do you efficiently convert JSON data into Excel format?
The Challenge of JSON to Excel Conversion
Converting JSON to Excel manually is not only time-consuming but also prone to errors. Complex nested structures, arrays, and varying data types can make the process frustrating. Many professionals find themselves spending hours copying and pasting data, writing custom scripts, or struggling with online converters that don’t handle their specific JSON structure.
Meet JSON to Excel by WTSolutions
JSON to Excel by WTSolutions is a comprehensive toolkit designed to solve this exact problem. It provides a full-scenario solution for converting JSON to Excel, supporting both flat and nested JSON structures with ease. Whether you’re a data analyst, developer, or business user, JSON to Excel streamlines the process, saving you time and effort.
Multiple Access Methods: Whether you prefer working in a web browser, directly within Excel, using WPS Office, or need programmatic access through APIs, JSON to Excel has you covered.
Flexible Conversion Modes: Support for both flat JSON (simple key-value pairs) and nested JSON (complex hierarchical structures) with customizable delimiters and depth control.
Batch Processing: Convert multiple JSON files at once, saving you valuable time when dealing with large datasets.
No Installation Required (Web App): Get started immediately without downloading or installing any software.
Cross-Platform Compatibility: Works on Windows, Mac, Linux, and even mobile devices through the web app.
Available Tools in the JSON to Excel Suite
JSON to Excel offers five different ways to convert your data:
Web App: Convert JSON to Excel directly in your web browser - no installation required
Excel Add-in: Seamlessly integrated into Excel 2013 and later versions
WPS Add-in: Perfect for WPS Office users on Windows and Linux
API Service: Programmatic access via HTTPS POST requests for developers
MCP Server: Integration with Model Context Protocol for advanced workflows
Why Choose JSON to Excel?
Efficiency
Convert hundreds or thousands of JSON records in seconds, not hours. The intelligent parsing engine handles complex structures automatically.
Accuracy
Eliminate manual errors with automated conversion that preserves data integrity and handles various data types correctly.
Flexibility
Customize how nested JSON is flattened, choose your preferred delimiter, and control the depth of conversion to match your specific needs.
Accessibility
Whether you’re a business analyst, developer, data scientist, or casual user, there’s a version of JSON to Excel that fits your workflow perfectly.
What’s Coming in This Series
Over the next several posts, we’ll dive deep into each aspect of JSON to Excel:
Getting started with the Web App
Using the Excel Add-in for seamless integration
Working with the WPS Add-in
Understanding supported JSON formats
Mastering flat vs nested JSON conversion
Exploring advanced Pro features
Using the API for programmatic access
MCP Server integration for developers
Real-world use cases and examples
Get Started Today
Ready to transform how you work with JSON data? Visit the JSON to Excel Web App to start converting your JSON files to Excel immediately - no registration required.
In our next post, we’ll walk through the Web App step by step, showing you how to convert your first JSON file to Excel in under a minute. Stay tuned!
Have questions about JSON to Excel? Feel free to reach out to the team at he.yang@wtsolutions.cn for support.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>In today’s data-driven world, JSON (JavaScript Object Notation) has become one of the most popular data formats for web APIs,Using the Excel to JSON API - Programmatic Access for Developershttps://blog.wtsolutions.cn/excel-to-json-series8-api-tutorial-en/2026-01-16T19:00:00.000Z2026-03-28T01:43:44.108ZWelcome to part 8 of our Excel to JSON series! We’ve covered user-facing tools: Web App, Excel Add-in, and WPS Add-in, along with Pro features. Today, we’re exploring the Excel to JSON API - the perfect solution for developers who need to integrate Excel to JSON functionality into their applications and workflows.
Introduction to Excel to JSON API
The Excel to JSON API provides a powerful, programmatic way to convert Excel data to JSON format. It’s designed for developers who need to:
Automate Excel to JSON conversions in their applications
Integrate conversion capabilities into existing workflows
Process Excel data from web services and APIs
Build custom solutions around Excel to JSON functionality
API Overview
Endpoint
The Excel to JSON API is accessible via a single endpoint:
1
POST https://mcp.wtsolutions.cn/excel-to-json-api
Two Usage Modes
The API offers two distinct usage modes:
Standard Mode: Free of charge, with standard conversion rules
Pro Mode: Requires valid subscription, with custom conversion rules
Standard API Usage
Request Format
The Standard API accepts POST requests with application/json content type containing one of two parameters:
Parameter
Type
Required
Description
data
string
No
Tab-separated or comma-separated text data with at least two rows (header row + data row). Either ‘data’ or ‘url’ must be provided
url
string
No
URL pointing to an Excel or CSV file. Either ‘data’ or ‘url’ must be provided
# API endpoint url = "https://mcp.wtsolutions.cn/excel-to-json-api"
# Prepare your Excel data with nested structure excel_data = "id\tstudent.name\tstudent.familyname\tstudent.age\n1\tMeimei\tHan\t12\n2\tLily\tJaskson\t15"
# Make request with Pro options response = requests.post( url, json={ "data": excel_data, "options": { "proCode": "your-email@example.com", "jsonMode": "nested", "delimiter": ".", "emptyCell": "null", "booleanFormat": "trueFalse" } }, headers={"Content-Type": "application/json"} )
# Process response result = response.json()
ifnot result["isError"]: json_data = result["data"] print("JSON Data:", json_data) # Save to file withopen("output.json", "w") as f: f.write(json_data) else: print("Error:", result["msg"])
// API endpoint const url = 'https://mcp.wtsolutions.cn/excel-to-json-api';
// Prepare your Excel data with nested structure const excelData = 'id\tstudent.name\tstudent.familyname\tstudent.age\n1\tMeimei\tHan\t12\n2\tLily\tJaskson\t15';
// Make request with Pro options axios.post(url, { data: excelData, options: { proCode: 'your-email@example.com', jsonMode: 'nested', delimiter: '.', emptyCell: 'null', booleanFormat: 'trueFalse' } }, { headers: { 'Content-Type': 'application/json' } }) .then(response => { const result = response.data; if (!result.isError) { console.log('JSON Data:', result.data); // Save to file (Node.js) const fs = require('fs'); fs.writeFileSync('output.json', result.data); } else { console.log('Error:', result.msg); } }) .catch(error => { console.error('Request failed:', error); });
defconvert_with_cache(excel_data): cache_key = get_cache_key(excel_data) if cache_key in cache: return cache[cache_key] # Make API call response = requests.post( 'https://mcp.wtsolutions.cn/excel-to-json-api', json={"data": excel_data} ) result = response.json() # Cache result cache[cache_key] = result return result
Next Steps
Now that you understand how to use the Excel to JSON API programmatically, you’re ready to explore MCP Service integration. In our next post, we’ll cover MCP Service, which provides another way for developers to integrate Excel to JSON functionality into their workflows, particularly for those working with AI and automation tools.
Ready to integrate the API? Start building your Excel to JSON integration today!
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 8 of our Excel to JSON series! We’ve covered user-facing tools: Web App, Excel Add-in, and WPS Add-in, along with ProUnderstanding Excel Data Formats - What Excel to JSON Supportshttps://blog.wtsolutions.cn/excel-to-json-series5-data-formats-en/2026-01-16T16:00:00.000Z2026-03-28T01:43:52.300ZWelcome to part 5 of our Excel to JSON series! We’ve covered the various tools available: Web App, Excel Add-in, and WPS Add-in. Today, we’re diving into the technical side by exploring exactly what Excel data formats Excel to JSON supports and how to prepare your data for conversion.
The Excel Data Requirements
Excel to JSON is designed to handle a wide variety of Excel data structures, but it does have specific requirements. Understanding these requirements will help you prepare your data and avoid conversion errors.
Core Requirements
At its core, Excel to JSON requires:
Tab-Separated or Comma-Separated Data: Input must be in Excel format (tab-separated) or CSV format (comma-separated)
At Least Two Rows: First row is treated as header, subsequent rows as data
No Empty Header Cells: Header row cannot contain empty cells
Consistent Data Types: Each column should have consistent data types
Supported Data Sources
Excel to JSON accepts data from multiple sources:
1. Direct Excel Data (Tab-Separated)
This is the most common input format. When you copy data from Excel, it’s tab-separated:
Example:
1 2 3
NameAgeCompany John Doe25WTSolutions Jane Smith30Microsoft
Characteristics:
Separated by tab characters (\t)
First row becomes JSON keys
Subsequent rows become JSON values
Preserves data types (numbers, booleans, dates, strings)
2. CSV Data (Comma-Separated)
Excel to JSON also accepts comma-separated values:
Example:
1 2 3
Name,Age,Company John Doe,25,WTSolutions Jane Smith,30,Microsoft
Characteristics:
Separated by commas (,)
First row becomes JSON keys
Subsequent rows become JSON values
Handles quoted values with commas inside
3. Excel Files (.xlsx)
When using the API or Excel/WPS add-ins with file loading, you can convert entire Excel files:
Characteristics:
Each sheet is converted to a separate JSON object
Each JSON object has sheetName and data properties
data property contains array of row objects
Supports multiple sheets in single conversion
Supported Data Types
Excel to JSON handles all standard Excel data types:
1. Strings
Text values in Excel are converted to JSON strings:
Excel:
Name
John Doe
JSON:
1 2 3
{ "Name":"John Doe" }
2. Numbers
Numeric values in Excel are converted to JSON numbers:
Excel:
Age
25
JSON:
1 2 3
{ "Age":25 }
3. Booleans
Excel boolean values (TRUE/FALSE) are converted based on your settings:
Excel:
IsStudent
TRUE
JSON (using JSON true/false format):
1 2 3
{ "IsStudent":true }
JSON (using Number 1/0 format):
1 2 3
{ "IsStudent":1 }
JSON (using String format):
1 2 3
{ "IsStudent":"TRUE" }
4. Dates
Date values in Excel can be converted in multiple ways:
Excel:
Birthday
1995-05-15
JSON (using Number of Days format):
1 2 3
{ "Birthday":34834 }
JSON (using ISO 8601 format):
1 2 3
{ "Birthday":"1995-05-15T00:00:00.000Z" }
Note: To use ISO 8601 format, add $date$ suffix to your column header:
Solution: Ensure cells are formatted as numbers in Excel, not text.
Issue 2: Date Format Issues
Problem: Dates are not converting correctly.
Solution:
Check Excel date format
Use $date$ suffix for ISO 8601 format
Verify date is not before 1900-01-01
Issue 3: Empty Cells in Header
Problem: Conversion fails due to empty header cells.
Solution: Fill in all header cells or remove empty columns.
Issue 4: Inconsistent Data Types
Problem: Mixed data types in same column.
Solution: Standardize data types or use text format for mixed columns.
Next Steps
Now that you understand what Excel data formats are supported, you’re ready to dive deeper into conversion modes. In our next post, we’ll explore the differences between Flat and Nested JSON conversion modes and when to use each one.
This post was originally published on 2026-01-17 at WTSolutions Blog. View the original article here.
]]><p>Welcome to part 5 of our Excel to JSON series! We’ve covered the various tools available: Web App, Excel Add-in, and WPS Add-in. Today,Sheet to Doc 新增插件版本，WPS 用户福音来了！https://blog.wtsolutions.cn/sheet-to-doc-plugin-version-wps-zh/2026-01-16T02:00:00.000Z2026-03-28T01:19:06.644ZSheet to Doc 迎来重大更新！我们非常高兴地宣布，Sheet to Doc 现在支持插件版本，可以直接在 Excel 和 WPS 表格中使用。对于习惯使用 WPS 的用户来说，这无疑是一个重磅好消息！
什么是插件版本？
插件版本是 Sheet to Doc 的全新使用方式，它以插件的形式集成到 Excel 和 WPS 表格中，让你无需离开熟悉的表格软件，就能直接使用 Sheet to Doc 的强大功能。
This post was originally published on 2026-01-16 at WTSolutions Blog. View the original article here.
]]>Sheet to Doc 正式发布插件版本，支持在 Excel 和 WPS 中直接使用，无需切换应用，文档生成更高效。My Journey as an Indie Developer Creating Photos to Google Earth to Bridge Photography and Mappinghttps://blog.wtsolutions.cn/my-journey-developing-photos-to-google-earth-en/2026-01-15T04:00:00.000Z2026-03-28T01:27:27.313ZThe Spark: Combining Photography and Geography
As a passionate photographer and geography enthusiast, I’ve always been fascinated by the intersection of these two worlds. I love capturing moments through my lens, but I also wanted a way to visualize where those moments were taken— to create a “geographical story” of my travels.
A few years ago, I tried to manually add my photos to Google Earth. I would extract GPS coordinates from my photos, create placemarks in Google Earth, and attach the photos one by one. This process was incredibly time-consuming, especially when dealing with hundreds of photos from a single trip.
I started looking for tools that could automate this process, but I found they all had limitations:
Some required uploading photos to cloud servers, raising privacy concerns
Others were expensive desktop applications with steep learning curves
Most lacked support for multiple platforms
Many had limited export options
That’s when I decided to create my own solution: Images to Google Earth/Ovi Maps.
From Idea to Prototype
Core Vision
My goal was to create a tool that would be:
Privacy-First: All processing done locally to protect user data
Easy to Use: Intuitive interface that anyone could master
Cross-Platform: Available on web, desktop, and mobile
Feature-Rich: Support for various export formats and customization options
Affordable: Accessible to everyone, not just professionals
Technical Challenges
Developing Photos to Google Earth presented several technical challenges:
Challenge 1: Extracting GPS Data from Photos
The first hurdle was figuring out how to reliably extract GPS information from various photo formats. Different cameras and smartphones store GPS data in slightly different ways within the EXIF metadata. I spent weeks researching EXIF standards and testing with thousands of photos to ensure accurate extraction.
Challenge 2: Generating KMZ Files
Creating valid KMZ files that could be seamlessly imported into Google Earth was another challenge. KMZ is a compressed format that combines KML (Keyhole Markup Language) with embedded files like photos. I had to learn the KML specification and implement a reliable compression algorithm.
Challenge 3: Cross-Platform Development
I wanted to make the tool available on multiple platforms, which meant I had to choose a development approach that could work across web, desktop, and eventually mobile. I decided to use web technologies as the foundation, then wrap them for desktop platforms using Electron.
Challenge 4: Performance Optimization
Processing hundreds of photos at once, especially high-resolution ones, can be resource-intensive. I had to optimize the code to ensure smooth performance even on lower-end devices.
The First Release
After six months of intense development and testing, I launched the first version of Photos to Google Earth i. It was a simple web-based tool that could:
Extract GPS data from photos
Generate KMZ files for Google Earth
Support batch processing of up to 6 photos (free version)
Export GPS data to CSV
The initial response was encouraging. Users loved the simplicity and privacy-focused approach. Many reached out to share how the tool was transforming their photo organization and sharing.
Evolving the Product
Based on user feedback, I continued to enhance Photos to Google Earth with new features:
Web and Desktop Versions
I expanded the tool to include both a web version for quick access and a desktop offline version for users who preferred a dedicated application or needed to work without internet.
Enhanced Export Options
I added support for GeoJSON export, allowing users to import their photo data into other GIS (Geographic Information System) applications.
Customization Features
Users requested the ability to customize how photos appeared in Google Earth, so I added:
Adjustable photo display size
Multiple icon styles
Support for different map types (Google Earth and Ovi Maps)
Professional Version
To support ongoing development, I introduced a professional version with:
Unlimited photo processing
Advanced customization options
Priority support
Lifetime updates (for desktop version)
Impact and User Stories
One of the most rewarding aspects of being an indie developer is hearing how your product impacts users. Here are a few stories that have touched me:
A Travel Blogger’s Experience
A travel blogger shared that Photos to Google Earth transformed how they shared their adventures. They now include interactive KMZ files with their blog posts, allowing readers to “follow along” on their journeys using Google Earth.
An Engineering Team’s Solution
An engineering firm started using the tool to document construction sites. They take photos of progress, process them with Photos to Google Earth, and share the KMZ files with clients, providing a clear visual record of work done.
A Teacher’s Educational Tool
A geography teacher now uses the tool to create interactive lessons. Students take photos of local landmarks, process them, and then use the resulting KMZ files to create presentations about their community.
The Future of Photos to Google Earth
As I look ahead, I have several exciting plans for Photos to Google Earth:
AI-Powered Features: Adding automatic photo tagging and location-based recommendations
3D Integration: Support for importing photos into Google Earth’s 3D view
Collaboration Tools: Allowing users to share and collaborate on photo collections
Enhanced Mobile Experience: Adding more mobile-specific features like real-time mapping
Integration with Other Services: Connecting with cloud storage providers and social media platforms
Lessons Learned as an Indie Developer
Developing Images to Google Earth/Ovi Maps has taught me invaluable lessons about software development and entrepreneurship:
Solve a Problem You Care About: Your passion will carry you through the tough times
Start Small and Iterate: Launch with core features, then expand based on feedback
Prioritize User Experience: A great user experience can set you apart from competitors
Communicate with Your Users: Build a community around your product
Embrace Constraints: Limited resources can force you to focus on what truly matters
Conclusion
Creating Images to Google Earth/Ovi Maps has been an incredible journey—one that’s allowed me to combine my passions for photography and geography while helping others do the same. It’s taught me that as an indie developer, you don’t need a big team or massive budget to create a product that makes a difference.
My mission remains the same: to bridge the gap between photography and mapping, making it easy for anyone to create meaningful geographical stories from their photos.
If you’re someone who loves taking photos and wants to see them come to life on the map, I invite you to try Images to Google Earth/Ovi Maps. Visit https://s.wtsolutions.cn/gps.html to get started.
And if you have feedback or ideas, please reach out. As an indie developer, your input is invaluable—it’s what helps me make Images to Google Earth/Ovi Maps better every day.
Happy mapping!
This post was originally published on 2026-01-15 at WTSolutions Blog. View the original article here.
]]><h2 id="The-Spark-Combining-Photography-and-Geography"><a href="#The-Spark-Combining-Photography-and-Geography" class="headerlink"My Journey as an Indie Developer Creating Sheet-to-Doc to Solve Document Generation Pain Pointshttps://blog.wtsolutions.cn/my-journey-developing-sheet-to-doc-en/2026-01-15T02:00:00.000Z2026-03-28T01:42:34.595ZThe Problem That Sparked It All
It all started in 2024 when I was working as a freelance developer. I had a client who needed to generate hundreds of personalized contracts every month. They were doing this manually—copying data from Excel spreadsheets into Word templates, one by one. It was a tedious, error-prone process that took their team days to complete.
As I watched them struggle, I thought, “There has to be a better way.” I started researching existing solutions, but I found they all had limitations:
Some were too expensive for small businesses
Others required uploading sensitive data to third-party servers
Most had steep learning curves
Many lacked the flexibility to handle complex document templates
That’s when the idea for Sheet-to-Doc was born. I decided to create a tool that would be affordable, secure, easy to use, and flexible enough to handle various document generation needs.
The Development Journey
From Concept to Prototype
I began by sketching out the core features:
Local Processing: All data stays in the user’s browser or installed desktop environment for maximum privacy
Simple Interface: Intuitive design that anyone can master in minutes
Flexible Placeholder System: Easy-to-use {placeholder} syntax for template creation
Batch Processing: Generate hundreds of documents with one click
Support for Multiple Data Formats: Excel, CSV, JSON, and more
With these goals in mind, I started coding the prototype using web technologies. I chose to build it as a web app so users wouldn’t need to download or install anything—they could just open it in their browser and start using it.
Overcoming Challenges
The development process wasn’t without its challenges:
Challenge 1: Word Document Processing
One of the biggest hurdles was figuring out how to manipulate Word documents in the browser. I spent weeks researching different libraries and approaches before finding a reliable solution that could handle template merging while preserving formatting.
Challenge 2: Performance Optimization
Processing hundreds of documents at once can be resource-intensive. I had to optimize the code to ensure smooth performance even with large datasets and complex templates.
Challenge 3: Cross-Browser Compatibility
Ensuring the tool worked consistently across different browsers was another challenge. I spent countless hours testing and debugging to make sure users had a seamless experience, regardless of which browser they used.
The First Release
After months of development and testing, I launched the first version of Sheet-to-Doc in January 2026. It was a simple tool, but it solved the core problem: automating document generation from Excel data and Word templates.
The initial response was overwhelming. Users loved the simplicity, security, and affordability of the tool. Many reached out to share their success stories and request new features.
Evolving the Product
Based on user feedback, I continued to improve Sheet-to-Doc, adding new features like:
Image Insertion: Allow users to dynamically add images to their documents
Loop Placeholders: Support for repeating sections like invoice items
QR Code Generation: Automatically generate QR codes in documents
Custom Filenames: Let users name generated documents based on template data
Offline Desktop Version: For users who prefer a desktop application
Each new feature was driven by real user needs, which kept the development focused on solving actual problems.
Why Sheet-to-Doc Matters
Empowering Small Businesses
One of the most rewarding aspects of developing Sheet-to-Doc has been seeing how it empowers small businesses. Many of our users are solopreneurs or small teams who can’t afford expensive enterprise software. Sheet-to-Doc gives them access to professional-grade document automation at a fraction of the cost.
Saving Time and Reducing Errors
Users consistently tell us how much time they’ve saved. One small business owner shared that they reduced their document generation time from 8 hours per week to just 30 minutes. Another user mentioned that Sheet-to-Doc eliminated the errors that were costing them clients.
Protecting Data Privacy
In an era where data breaches are common, Sheet-to-Doc’s local processing approach has resonated with users. They appreciate knowing their sensitive business data never leaves their device.
The Future of Sheet-to-Doc
As an indie developer, I’m constantly thinking about the future of Sheet-to-Doc. Here are some of the things I’m working on:
Enhanced Template Design Tools: Making it even easier to create complex templates
Integration with Cloud Storage: Allow users to save and load templates from services like Google Drive and Dropbox
API Access: Let developers integrate Sheet-to-Doc into their own workflows
Mobile App: Bring document generation to mobile devices
More Output Formats: Support for generating PDFs, PowerPoint presentations, and other document types
Advice for Aspiring Indie Developers
If you’re thinking about creating your own software product, here’s what I’ve learned:
Solve a Real Problem: Focus on solving a problem you or others actually face
Start Small: Launch a minimum viable product and iterate based on feedback
Listen to Your Users: They’ll tell you what features to build next
Prioritize Simplicity: Complexity is the enemy of adoption
Be Patient: Building a successful product takes time and persistence
Conclusion
Developing Sheet-to-Doc has been an incredible journey—one that’s taught me a lot about software development, user experience, and entrepreneurship. But the most rewarding part has been seeing how it’s helped people save time, reduce stress, and grow their businesses.
As I continue to evolve Sheet-to-Doc, I remain committed to its core principles: simplicity, security, affordability, and flexibility. My goal is to make document generation accessible to everyone, regardless of their technical skill or budget.
If you’re tired of manually creating repetitive documents, I invite you to try Sheet-to-Doc for yourself. Visit https://s.wtsolutions.cn/sheet-to-doc.html to get started.
And if you have any feedback or feature requests, please don’t hesitate to reach out. As an indie developer, I value every user’s input—it’s what makes Sheet-to-Doc better every day.
Happy document generating!
This post was originally published on 2026-01-15 at WTSolutions Blog. View the original article here.
]]><h2 id="The-Problem-That-Sparked-It-All"><a href="#The-Problem-That-Sparked-It-All" class="headerlink" title="The Problem That Sparked ItA New Way to Organize Travel Photos Creating My Geographical Album with Photos to Google Earthhttps://blog.wtsolutions.cn/photos-to-google-earth-traveler-experience-en/2026-01-14T08:00:00.000Z2026-03-28T01:25:07.968ZThe Troubles of a Travel Photography Enthusiast
As a passionate travel photography enthusiast, I take a huge number of photos wherever I go. From magnificent natural landscapes to vibrant street life, from iconic landmarks to hidden gems, my camera and phone are always busy. Last year alone, I took over 15,000 travel photos!
However, the post-trip photo organization work has always been a nightmare for me. The traditional way of organizing photos is nothing more than creating folders by date and location, but this method has many problems:
Separation of photos and geographical locations: Although I know where the photos were taken, I can’t intuitively see their locations on the map
Memories are not vivid enough: Simply browsing photos cannot evoke complete travel memories
Sharing is not intuitive: When sharing travel experiences with friends, I need to constantly switch between photos and maps
Difficulty finding specific photos: To find photos of a certain attraction or moment, I need to rummage through a large number of folders
I’ve always dreamed of a way to make my travel photos “return” to their shooting locations, allowing me to relive my travel experiences as if “flying” on a map.
Discovering a Treasure Tool: Photos to Google Earth
By chance, I saw someone recommending the “Photos to Google Earth/Ovi Maps” software on a photography forum. With a try-and-see attitude, I visited the official website (https://s.wtsolutions.cn/gps.html) and started my geographical album journey.
First-time Usage Experience
For my first test, I selected over 500 photos taken during my trip to Yunnan last year. The software operation is extremely simple:
Open the software and select Chinese as the language
Directly drag the photos to the software interface
The software automatically reads the GPS information in the photos
Click the “Export to KMZ” button
Import the generated KMZ file into Google Earth
When I opened the generated KMZ file in Google Earth, I was shocked by what I saw! All photos were accurately marked at their shooting locations. I could use Google Earth’s flight feature to start from Kunming, follow my travel route, and view photos from Dali, Lijiang, and Shangri-La in sequence. Each photo seemed to take me back to the moment it was taken, and that immersive feeling is incomparable to traditional photo albums.
Creating My Geographical Album
1. Categorize by Travel Themes
Now, I create a separate KMZ file for each trip, such as “2025 Yunnan Journey”, “2024 Europe Trip”, “2023 Tibet Road Trip”, etc. This way, I can open the KMZ file of a specific trip at any time to relive that travel memory.
2. Combine with Map Storytelling
Through Google Earth, I can see the distribution of photos on the map, which allows me to better tell travel stories. For example, in my Yunnan trip, I can start from Kunming and go west along the Yunnan-Tibet line, telling my experiences and feelings at each location. This way is more vivid and interesting than simply displaying photos.
3. Share My Travel Experiences
In the past, when sharing travel photos with friends, I always had to show them one by one or send a long photo link. Now, I just need to share the generated KMZ file with them, and they can “explore” my travel route and view photos they are interested in on Google Earth. This interactive sharing method is deeply loved by my friends.
4. Discover Unexpected Travel Gains
Through the geographical album, I discovered some unexpected gains from my travels. For example, during my Europe trip, I found that my photos taken in Paris were mainly concentrated in famous attractions like the Eiffel Tower and Louvre Museum, while ignoring some hidden alleys and cafes. This made me realize that I should pay more attention to local life details during my next trip.
Software Usage Tips
1. Ensure Photos Contain GPS Information
The software needs to read GPS information from photos to mark locations on the map. Most smartphones and modern cameras support automatic GPS information addition, but some cameras require manual activation of this function. Before traveling, be sure to check if your device has GPS positioning function enabled.
2. Reasonably Use Different Export Formats
The software supports exporting three formats:
KMZ format: Used for viewing in Google Earth and Ovi Maps
CSV format: Used for creating detailed travel logs and statistical data
GeoJSON format: Used for integration with other GIS software
I usually export KMZ format for daily viewing and CSV format for creating travel blogs and journals.
3. Upgrade to Professional Version
The free version can only process up to 6 photos at most, which is obviously not enough for travel enthusiasts. I didn’t hesitate to purchase the professional version (perpetual license, only 6.99 USD), so I can process thousands of photos at once and use all advanced features permanently.
4. Use Desktop Offline Version
Although the software provides an online version, I recommend using the desktop offline version more. The desktop version has faster processing speed and can be used without a network connection, protecting photo privacy.
The New Future of Travel Photos
Photos to Google Earth software has brought new vitality to my travel photos. It has turned my photos from isolated images into “memory points” on the map. Through Google Earth, I can “fly” back to those beautiful travel moments at any time, reliving the mood and feelings of that time.
For travel photography enthusiasts, this software is undoubtedly a treasure tool. It not only solves the problem of photo organization but also provides a new way to preserve and share travel memories. If you are also a travel and photography lover, you might as well try Photos to Google Earth software to create your own geographical album!
This post was originally published on 2026-01-14 at WTSolutions Blog. View the original article here.
]]><h2 id="现场探查的痛点：照片管理的噩梦"><a href="#现场探查的痛点：照片管理的噩梦" class="headerlink"Engineering Exploration Efficiency Revolution How Photos to Google Earth Solves On-site Data Processing Challengeshttps://blog.wtsolutions.cn/photos-to-google-earth-engineering-exploration-case-en/2026-01-14T06:00:00.000Z2026-03-28T01:25:49.173ZOn-site Exploration Pain Point: The Nightmare of Photo Management
As an engineering exploration engineer, my daily work involves rushing between various construction sites, collecting a large number of on-site photos, recording geographic coordinates, and subsequently organizing them into detailed exploration reports. The most challenging part of this process is photo management and processing.
Last month, we received a large-scale municipal engineering exploration task, requiring comprehensive exploration of a 10-kilometer pipeline. During the entire process, my team and I took over 2000 on-site photos, including pipeline wells, valves, and geomorphic features. Although these photos all contain GPS information, how to organize them in an orderly manner so that the project team can intuitively understand the actual situation at each location became a huge challenge for us.
In the past, we usually processed these photos in the following ways:
Rename all photos according to shooting time
Record each photo’s shooting location, content description, and related parameters in an Excel spreadsheet
Manually insert relevant photos when making PPT or PDF reports
When explaining to all parties involved in the project, it is extremely inefficient to constantly switch between maps and photos
This traditional method has many problems:
Photos are separated from geographic locations and cannot be intuitively correlated
Finding photos at specific locations is time-consuming and labor-intensive
The report production process is cumbersome and error-prone
Project communication efficiency is low, and information transmission is not intuitive
Encountering a Savior: Photos to Google Earth Software
Just as we were struggling with photo processing issues, a colleague recommended the “Photos to Google Earth/Ovi Maps” software to me. With a try mindset, I visited the official website (https://s.wtsolutions.cn/gps.html) and downloaded the desktop offline version.
After installation, I immediately imported more than 100 photos taken that day for testing. Unexpectedly, this software is so simple to operate: just drag the photos to the software interface, and it can automatically read the GPS information in the photos and generate KMZ format files. I imported the generated KMZ file into Google Earth, and a miracle happened - all photos were accurately marked at their shooting locations!
Efficiency Revolution: Changes Brought by the Software
1. Perfect Integration of Photos and Geographic Locations
After using Photos to Google Earth software, we no longer need to manually record the location information of each photo. The software automatically extracts GPS data from photos and marks the photos at precise locations on the map. Through Google Earth, we can intuitively view photos at each exploration point, and even view dynamic changes in the exploration process through the timeline function.
2. Batch Processing, Saving a Lot of Time
For more than 2000 photos, the traditional method takes at least 2-3 days to complete sorting and marking. Using Photos to Google Earth software, we completed all photo processing in less than 1 hour. The software supports batch import and processing, greatly improving work efficiency.
3. Flexible Export Formats to Meet Different Needs
The software supports exporting photo data in KMZ, CSV, and GeoJSON formats, meeting our needs in different scenarios:
KMZ format: Used for intuitive viewing in Google Earth and Ovi Maps
CSV format: Used for making detailed exploration reports and data statistics
GeoJSON format: Used for integration with other GIS systems
4. Improve Team Collaboration Efficiency
In project meetings, we no longer need to rummage through photos and maps. Simply open the generated KMZ file in Google Earth to intuitively show all parties involved in the project the actual situation at each exploration point. This visual way not only improves communication efficiency but also reduces misunderstandings and ambiguities.
5. Local Processing to Ensure Data Security
As an engineering exploration project, on-site photos often involve sensitive information. Photos to Google Earth software adopts a local processing method, and all photos and data will not be uploaded to the Internet, ensuring the security and privacy of project data.
In this pipeline exploration project, we fully utilized the advantages of Photos to Google Earth software:
On-site Collection: Use a GPS-enabled camera to take on-site photos
Batch Processing: Import photos taken that day into the software for processing at the end of each day
Map Marking: Generate KMZ files, view and verify in Google Earth
Report Production: Extract data from CSV files to quickly generate exploration reports
Project Communication: Use Google Earth to display on-site conditions in meetings to improve communication efficiency
By using Photos to Google Earth software, our project cycle was shortened by nearly 30%, and report production time was reduced by more than 50%. All parties involved in the project highly praised our work efficiency and quality of results.
Professional Version Upgrade: Unlock More Advanced Features
After using the free version for a period of time, we found that the free version can only process up to 6 photos at most, which is obviously not enough for our large-scale projects. Therefore, we did not hesitate to purchase the professional version (perpetual license, only 6.99 USD).
The professional version provides us with more advanced features:
Unlimited photo processing quantity
Adjustable photo display size on the map
Support for custom icon styles
Lifetime use with free updates
These advanced features further improved our work efficiency and quality of results.
Conclusion: An Essential Tool for Engineering Exploration
Photos to Google Earth/Ovi Maps software has completely changed our engineering exploration work style. It perfectly combines photos with geographic locations, realizing visual management and efficient utilization of on-site data. For engineering exploration personnel, this software is undoubtedly an essential tool to improve work efficiency and improve the quality of results.
If you are also troubled by photo processing problems in engineering exploration, you may wish to try Photos to Google Earth software. It is simple to use and powerful, and will definitely bring unexpected changes to your work!
This post was originally published on 2026-01-14 at WTSolutions Blog. View the original article here.
]]><h2 id="数据安全：用户最关心的问题"><a href="#数据安全：用户最关心的问题" class="headerlink"Photos to Google Earth Offline Version Use Without Internet, Protect Your Data Securityhttps://blog.wtsolutions.cn/photos-to-google-earth-offline-version-security-en/2026-01-14T05:00:00.000Z2026-03-28T01:25:36.272ZData Security: The Most Concerned Issue for Users
As a digital enthusiast, I am always very concerned about the importance of data security and privacy protection. Especially when processing a large number of personal photos, I am always extra cautious: these photos contain my life trajectory, travel memories, and may even involve the privacy of family and friends.
When using various online tools to process photos, I always worry:
Will my photos be uploaded to the server?
Will these photos be used for other purposes?
What is the risk of data leakage?
These worries didn’t completely disappear until I discovered the offline installation version of Photos to Google Earth software.
Offline Installation Version: A Photo Processing Tool That Works Without Internet
What is the Offline Version?
Photos to Google Earth software provides a desktop offline installation version that supports multiple operating systems including Windows, Mac, and Linux. Unlike the online version, the offline version is installed on your local computer and can use all functions without an internet connection.
Scroll to the bottom of the page and find the “Download desktop offline version” area
Select the corresponding version according to your operating system:
Windows: x32/x64
Mac: mac version
Linux: x64/arm64/armv7l
Download and install directly
Core Advantage of Offline Version: Data Security
1. Local Processing, Photos Never Leave Your Computer
The biggest advantage of the offline installation version is that all photo processing is completed locally. When you use the offline version to process photos:
Photos will not be uploaded to any server
Data transmission only occurs within your local computer
All processing results are saved to your local disk
This means that your photos are completely in your hands, and there is no risk of data leakage.
2. Use Without Internet, Completely Isolate Network Threats
The offline version software does not require an internet connection, which completely isolates network threats:
Will not be affected by network attacks
Will not have data stolen by malicious software
Will not lose data due to server failures
You can safely use the software to process photos even in an environment without internet.
3. Privacy Protection, Compliance with Data Regulations
For enterprise users or users who process sensitive photos, the offline version software is more in line with data compliance requirements:
No need to worry about data cross-border transmission issues
Complies with data protection regulations such as GDPR and CCPA
Can be safely used in internal network environments
User Experience of Offline Version
Simple Installation, Smooth Use
The installation process of the offline version is very simple and can be completed in just a few minutes. After installation, the software interface is basically the same as the online version, and the usage method is completely the same:
Open the software
Drag photos to the software interface
The software automatically reads GPS information
Select export format (KMZ/CSV/GeoJSON)
Save the file locally
Complete Functions, Consistent with Online Version
The offline version includes all functions of the online version:
GPS information extraction
KMZ file generation
CSV/GeoJSON export
Custom photo display size
Batch processing function
Professional version users can also enjoy:
Unlimited photo processing quantity
Custom icon styles
Lifetime free updates
Faster Processing Speed
Due to the absence of network transmission, the offline version has faster processing speed than the online version. Especially when processing a large number of photos, the advantage of the offline version is more obvious. I once used the offline version to process more than 3000 photos, and the entire process took less than 5 minutes.
Who is Suitable for Using the Offline Version?
1. Personal Users Who Value Privacy Protection
If you are concerned about photo privacy and don’t want your photos to be uploaded to the server, the offline version is your best choice.
2. Professional Users Processing Sensitive Photos
For journalists, photographers, investigators, and other professional users who need to process sensitive photos, the offline version can ensure the security and confidentiality of photos.
3. Enterprise Users and Teams
Photos processed by enterprise users often involve trade secrets or customer privacy. The offline version can help enterprises avoid the risk of data leakage and comply with enterprise data security policies.
4. Users with Unstable Network Environment
If your work environment has unstable network, or you often need to work in places without internet, the offline version can ensure that you can use the software at any time.
Purchase and Upgrade
Price of Offline Version
The offline version offers two options: free version and professional version:
Free Version: Can process up to 6 photos, suitable for initial experience
Professional Version: Perpetual license, only 6.99 USD (use promo code: 9949en), lifetime use with free updates
How to Upgrade to Professional Version?
Get the device code in the software
Visit the official website to purchase the professional version license code
Enter the license code in the software and verify
Enjoy all professional version functions immediately
Conclusion: A Safe and Reliable Photo Processing Tool
The offline installation version of Photos to Google Earth software provides users with a safe and reliable photo processing solution. It not only has complete functions and is easy to use, but more importantly, it can ensure the security and privacy of photo data.
If you are also worried about the data security issues of online tools, you might as well try the offline installation version of Photos to Google Earth. Use it without internet and make your photo processing more secure!
This post was originally published on 2026-01-14 at WTSolutions Blog. View the original article here.
]]><h2 id="软件概述"><a href="#软件概述" class="headerlink" title="软件概述"></a>软件概述</h2><p>照片to谷歌地球/奥维地图是一款功能强大的跨平台图片信息处理工具，专为将带有GPS信息的照片导入GooglePhotos to Google Earth Application Scenarios and Usage Guide for a Versatile Geotagging Toolhttps://blog.wtsolutions.cn/photos-to-google-earth-applications-en/2026-01-14T04:00:00.000Z2026-03-28T01:26:10.884ZSoftware Overview
Photos to Google Earth/Ovi Maps is a powerful cross-platform image processing tool designed to import GPS-tagged photos into Google Earth and Ovi Maps. Developed by WTSolutions, this software supports Windows, Mac, iOS, Linux, and Android systems, offering both online and offline desktop versions.
Core Features
1. GPS Information Extraction
Automatically reads GPS information embedded in photos to accurately obtain shooting location coordinates without manual input.
2. KMZ File Generation
Converts photos into KMZ format files that can be directly read by Google Earth/Ovi Maps, enabling precise positioning of photos on the map.
3. Local Data Processing
All photo processing is completed locally on your computer, without uploading to the internet, ensuring strict protection of user privacy and security.
4. Cross-platform Support
Supports Windows, Mac, iOS, Linux, and Android systems, meeting the needs of users with different devices.
5. Multiple Data Export Formats
Excel/CSV Export: Export photo GPS data to Excel/CSV format for easy data analysis and management
GeoJSON Export: Generate GeoJSON format files compatible with various GIS software
6. Customizable Map Settings
Support for different icon styles
Compatible with Google Earth and Ovi Maps
Adjustable photo display size on the map (200~3000 pixels)
Application Scenarios
1. Travel and Outdoor Exploration
Travel Memory Maps: Create geotagged travel albums to visually showcase travel routes and attractions
Outdoor Adventure Records: Mark key locations and tracks for hiking, camping, mountaineering, and other activities
Natural Landscape Documentation: Record precise locations of special landforms, wildlife habitats, and other natural landscapes
2. Geographical Research and Education
Field Investigation Support: Combine investigation photos with geographical locations to enhance geography teaching effectiveness
Scientific Data Collection: Provide precise geographic coordinate data for field surveys and environmental monitoring
Historical Geography Research: Mark historical event locations to assist in historical geography research
3. Real Estate and Urban Planning
Property Visualization: Precisely locate property photos on the map to help clients intuitively understand the surrounding environment
Urban Development Records: Track the progress and geographical changes of urban construction projects
Historical Building Protection: Mark the location and current status of historical buildings to provide reference for protection work
4. Business and Marketing
Chain Store Location Display: Locate multiple store photos on the map for easy customer search
Event Site Recording: Record on-site photos and geographical locations of business events, exhibitions, etc.
Location-based Marketing: Create product displays with geographical locations to improve marketing effectiveness
5. Personal Life Applications
Geotagged Family Albums: Add geographical locations to family photos to record life trajectories
Important Event Commemoration: Mark the locations of important events such as weddings, birthdays, etc.
Pet Activity Records: Track the daily activity range of pets to understand their behavior patterns
6. Professional Field Applications
Photography Work Management: Add geographical location information to photography works for easy classification and retrieval
News Reporting Assistance: Provide precise geographical locations for news photos to enhance reporting credibility
Rescue and Emergency Response: Determine locations through photo GPS information in emergency situations to assist rescue work
After processing is complete, select export format:
Export to Excel (CSV)
Export to GeoJSON
Export to KMZ (for Google Earth/Ovi Maps)
Download the generated file and open it in the corresponding software
Offline Desktop Version Usage
Download the offline version for your system from the official website:
Windows: x32/x64 versions
Mac: mac version
Linux: x64/arm64/armv7l versions
Install and run the software
Follow the same steps as the online version
Versions and Purchase Options
Free Version
Maximum 6 images per processing
Basic features included
Professional Version
Short-term Use (Online Version)
Can be used on 10 devices
Get updates to the latest version
Pricing:
2.99 USD/30 days
Perpetual License (Desktop Installation Version)
Bound to a single device code
Lifetime use with free updates
Original price 14.99 USD, limited-time offer 6.99 USD (use promo code: 9949en, valid until 20260131)
Notes
Ensure photos contain GPS information (usually automatically added when taken with a mobile phone or professional camera)
When using Ovi Maps, correctly set the local image absolute path
Special characters are not allowed in the path: \ * ? " <> ; / @ & = + $ , #
It is recommended to use modern browsers (such as Chrome, Edge, Firefox) for the best experience
Professional version license codes will be sent via email, please ensure accurate email address is provided
Recommended Reasons
Comprehensive Features: From GPS extraction to multiple format exports, meeting the needs of different users
Privacy and Security: Local processing protects user privacy
Cross-platform Compatibility: Supports multiple operating systems for flexible use
Easy to Operate: Drag-and-drop operation without professional knowledge
High Cost Performance: Basic functions are free, advanced functions are reasonably priced
Continuous Updates: Regular software updates to continuously optimize features
Photos to Google Earth/Ovi Maps is a powerful and easy-to-use geotagging tool that benefits travel enthusiasts, professional photographers, and scientific researchers alike. It perfectly combines photos with geographical locations, adding more value and meaning to your photos. Try it now and start your geotography photography journey!
This post was originally published on 2026-01-14 at WTSolutions Blog. View the original article here.
This post was originally published on 2026-01-13 at WTSolutions Blog. View the original article here.
]]><p>在数字化办公时代，二维码已经成为连接物理世界和数字世界的重要桥梁。从产品标签到会议胸卡，从设备标识到文档防伪，二维码的应用场景越来越广泛。你是否遇到过需要批量生成二维码并插入到Word文档中的需求？今天，我将为你介绍Sheet-to-Doc的二维码生成功能，让文档自动化变得Sheet-to-Doc QR Code Generation: Making Document Automation Smarterhttps://blog.wtsolutions.cn/sheet-to-doc-qrcode-generation-en/2026-01-13T00:00:00.000Z2026-03-28T01:18:07.960ZIn the era of digital office, QR codes have become an important bridge connecting the physical and digital worlds. From product labels to conference badges, from device identification to document anti-counterfeiting, QR codes are being used in more and more scenarios. Have you ever encountered the need to batch generate QR codes and insert them into Word documents? Today, I will introduce you to the QR code generation function of Sheet-to-Doc, which makes document automation more intelligent and efficient.
Manufacturing enterprises need to generate unique QR code labels for each device, containing information such as device number, model, and production date. The traditional method requires manually generating QR codes and then inserting them into Word templates one by one, which is inefficient and error-prone.
2. Conference Badges and Work ID Cards
When organizing large conferences or events, it is necessary to generate badges for each participant containing information such as name, position, and affiliated unit, along with a QR code for easy check-in and identity verification.
3. Product Manuals and Guides
Adding QR codes to product manuals that link to product video tutorials, online support pages, or official websites enhances user experience.
4. Asset Management and Inventory Management
Generate QR code labels for enterprise assets, including asset number, purchase date, responsible person, etc., to facilitate scanning for query and management.
5. Marketing Materials and Promotional Content
Adding QR codes to brochures, posters, and other marketing materials that link to product detail pages, coupons, or surveys enables online-offline interaction.
Introduction to Sheet-to-Doc QR Code Generation
Sheet-to-Doc’s QR code generation function (supported since version 2.7.0) allows you to directly insert QR code placeholders in Word templates, and then automatically generate and insert QR codes through Excel data. No additional QR code generation tools are needed, completing document automation in one stop.
Core Features
Automatic QR Code Generation: Simply provide the QR code content, and the system will automatically generate the corresponding QR code image
Flexible Size Settings: Customizable QR code width and height, in centimeters
Support for Multiple Data Formats: QR code content can be any column of data in Excel, supporting strings and numbers
Batch Generation: Generate hundreds of personalized documents with QR codes in one operation
Tight Integration with Text: QR codes are inserted as inline images, naturally integrating with document content
Support for Two Generation Modes: Both multi-document (Generation Mode 1) and single-document (Generation Mode 2) are supported
How to Generate QR Codes with Sheet-to-Doc
1. Prepare Data
First, prepare Excel data containing QR code content. For example, if you want to generate QR code labels for devices, the data might include device name, device number, etc.:
Device
Device ID
Mouse
EQ20303
Keyboard
EQ20304
Monitor
EQ20305
2. Design Word Template
Insert QR code placeholders in the Word template. The basic syntax for QR code placeholders is:
Generation Effect: Each document will contain information about the corresponding device and a unique QR code, which can be directly printed as a device label.
Generation Effect: The generated badges contain participant information and unique QR codes, which can be used for conference check-in and identity verification.
Advantages of Sheet-to-Doc QR Code Function
1. Improve Work Efficiency
No need to manually generate QR codes or insert them into documents one by one. One operation can generate hundreds of documents containing QR codes, saving a lot of time and effort.
2. Reduce Error Rate
The automated generation process eliminates errors caused by manual operations, ensuring that each QR code accurately matches the corresponding content.
3. Maintain Consistency
All generated QR codes have a unified style and consistent size, ensuring the professionalism and aesthetics of the documents.
4. Simplify Workflow
Integrating QR code generation and document generation into one tool simplifies the workflow, eliminating the need to switch between multiple tools.
5. Flexible Customization
QR code size can be customized according to needs, adapting to different application scenarios.
6. Support for Multiple Scenarios
Whether it’s device labels, conference badges, product manuals, or marketing materials, it can easily handle them all.
Summary
Sheet-to-Doc’s QR code generation function brings new possibilities to document automation, allowing you to easily batch generate Word documents containing personalized QR codes. Whether it’s device labels in manufacturing, conference badges in event planning, or marketing materials in marketing, this function can greatly improve your work efficiency, reduce error rates, and maintain the professionalism and consistency of documents.
If you often need to generate documents containing QR codes, try Sheet-to-Doc and experience the charm of document automation!
This post was originally published on 2026-01-13 at WTSolutions Blog. View the original article here.
]]><p>In the era of digital office, QR codes have become an important bridge connecting the physical and digital worlds. From product labelsSheet-to-Doc Offline Usage Guide: Work Efficiently Without Network Connectionhttps://blog.wtsolutions.cn/sheet-to-doc-series-10-offline-guide-en/2026-01-07T11:30:00.000Z2026-03-28T01:17:42.449ZIn modern office environments, network connections are not always reliable. Sometimes we need to complete document automation generation work without a network, and that’s when Sheet-to-Doc’s offline version comes in handy. Today, I will detailedly introduce Sheet-to-Doc’s offline usage guide to help you efficiently use Sheet-to-Doc even without a network connection.
In some environments, network connections may be unstable or completely unavailable, such as:
When traveling with poor network signals
On airplanes, trains and other transportation
Company internal network restrictions
Network failures
2. High Data Security Requirements
For scenarios dealing with sensitive data, such as contracts, financial reports, etc., the offline version can ensure that data is completely processed locally without going through any servers, improving data security.
3. Improve Generation Speed
The offline version runs directly locally, no network transmission required, and generation speed is faster, especially for large data volume scenarios.
4. Avoid Browser Limitations
The online version needs to run in a browser and may be limited by browser memory, plugins, etc. The offline version runs as an independent application, not limited by browsers, more stable and reliable.
Advantages of the Offline Version
1. Completely Offline Operation
The offline version does not require any network connection and can run normally in a completely offline environment.
2. Local Data Processing
All data is processed on the local computer, not uploaded to any servers, ensuring data privacy and security.
3. Support Large Data Volumes
The offline version can handle larger data volumes, not limited by browser memory.
4. Stable and Reliable
Running as an independent application, not affected by browser plugins, extensions, etc., running more stable and reliable.
5. Support Batch Generation
The offline version supports batch generation, with basically the same functionality as the online version.
How to Download and Install the Offline Version
1. Download the Offline Version
You can download the offline version from the Sheet-to-Doc official website:
Download the Windows version installation package (.exe file)
Double-click the installation package to start installation
Follow the prompts in the installation wizard to complete the installation
After installation is complete, find the Sheet-to-Doc icon on the desktop or in the Start menu, double-click to launch
Mac System
Download the Mac version installation package (.dmg file)
Double-click the .dmg file to open the installation window
Drag the Sheet-to-Doc icon to the Applications folder
After installation is complete, find Sheet-to-Doc in Launchpad or Applications folder, double-click to launch
Usage Steps of the Offline Version
Step 1: Launch Sheet-to-Doc Offline Version
Double-click the Sheet-to-Doc icon on the desktop to launch the application.
Step 2: Import Data
You can import data in the following ways:
Copy and paste data: Copy data from Excel, CSV and other files, paste into the data area of the application
Upload files: Click the “Upload Data File” button, select Excel, CSV, JSON or JSONL files
Step 3: Upload Word Template
Click the “Upload Template File” button, select the prepared Word template file.
Step 4: Data Comparison
Click the “Data Comparison” button, the application will automatically compare Excel data and placeholders in Word templates to check for errors.
Step 5: Select Generation Mode
Select generation mode according to needs:
Generation Mode 1: Independent Documents
Generation Mode 2: Merged Document
Step 6: Customize File Name (Optional)
If you select Generation Mode 1, you can customize the generated file name, for example:
1
{Name}-{Department}-Contract.docx
Step 7: Generate Documents
Click the “Generate” button to start generating documents. After generation is complete, the application will prompt you to select a save location to save the generated documents.
Function Comparison Between Offline Version and Online Version
Function
Offline Version
Online Version
Data Format Support
Excel, CSV, JSON, JSONL
Excel, CSV, JSON, JSONL
Image Support
✅ Support dynamic image insertion
✅ Support dynamic image insertion
Loop Placeholders
✅ Support complex loop structures
✅ Support complex loop structures
Expression Calculation
❌ Not supported
❌ Not supported
Conditional Placeholders
✅ Support conditional display of content
✅ Support conditional display of content
Data Comparison
✅ Automatically compare data and templates
✅ Automatically compare data and templates
Batch Generation Modes
✅ Independent documents and merged documents
✅ Independent documents and merged documents
Custom File Names
✅ Support flexible file name customization
✅ Support flexible file name customization
Offline Use
✅ Completely offline operation
❌ Requires network connection
Cross-Platform Support
✅ Support Windows and Mac
✅ Support Web browser
Large Data Volume Support
✅ Support larger data volumes
❌ Limited by browser memory
Stability
✅ More stable and reliable
❌ Affected by browser
Best Practices for the Offline Version
1. Regularly Update the Offline Version
The Sheet-to-Doc team will regularly update the offline version, fix bugs and add new features. It is recommended to download the latest version from the official website regularly.
2. Backup Data and Templates
Before generating documents, it is recommended to backup original Excel data and Word templates to avoid problems with generated documents due to data or template loss.
3. Test Templates and Data
Before generating a large number of documents, test templates and data with a small amount of data to ensure that generated documents meet expected effects.
4. Optimize Image Sizes
For documents containing images, it is recommended to optimize image sizes, avoid using oversized image files, affecting generation speed and document size.
5. Reasonably Organize Folders
Create reasonably named folders for generated documents, convenient for management and search. For example:
When generating a large number of documents, close unnecessary applications to free up memory, improve generation speed and stability.
Common Problems and Solutions for the Offline Version
Problem 1: Offline Version Cannot Be Launched
Reasons:
Incompatible system version
Missing necessary runtime libraries
Corrupted application files
Solutions:
Check whether the system version meets requirements (Windows 10+, macOS 10.15+)
Install necessary runtime libraries (such as .NET Framework, Visual C++ Redistributable, etc.)
Re-download the installation package and reinstall
Problem 2: Cannot Import Data Files
Reasons:
Unsupported file format
File size exceeds limit
Corrupted files
Solutions:
Ensure using supported file formats (Excel, CSV, JSON, JSONL)
For large files, try importing in batches
Check if files are corrupted, try resaving files
Problem 3: Cannot Upload Word Templates
Reasons:
Unsupported template file format (only supports .docx format)
Template file too large
Corrupted template files
Solutions:
Ensure template files are in .docx format
Optimize template file size, delete unnecessary content and formats
Check if template files are corrupted, try resaving
Problem 4: Slow Generation Speed
Reasons:
Too large data volume
Template too complex
Oversized image files
Insufficient system resources
Solutions:
Generate documents in batches
Simplify template design, reduce complex formats and layouts
Optimize image sizes
Close unnecessary applications, free up memory
Problem 5: Generated Documents Missing Data or Format Errors
Reasons:
Column names in Excel data do not match placeholders in Word templates
Incorrect data structure
Syntax errors in placeholders in templates
Solutions:
Check whether column names in Excel data are completely consistent with placeholders in Word templates
Ensure Excel data structure is correct, with column names in the first row and data rows in subsequent rows
Check whether placeholder syntax in templates is correct
Use data comparison function to check placeholders
Problem 6: Generated Documents Cannot Be Opened
Reasons:
Generated documents are corrupted
Incompatible Word versions
Missing necessary fonts or styles
Solutions:
Regenerate documents
Ensure using compatible Word versions to open
Install necessary fonts and styles
Offline Version Updates and Maintenance
1. Check for Updates
The Sheet-to-Doc offline version will be updated regularly, you can check for updates in the following ways:
Click the “Check for Updates” button in the application
Visit the official website to check the latest version
2. Uninstall Old Versions
Before installing the new version, it is recommended to uninstall the old version to avoid version conflicts.
Windows System
Open “Control Panel” → “Programs” → “Uninstall Programs”
Find “Sheet-to-Doc”, click “Uninstall”
Follow the prompts in the uninstallation wizard to complete the uninstallation
Mac System
Open “Finder” → “Applications”
Drag “Sheet-to-Doc” to the “Trash”
Empty the “Trash”
3. Install New Versions
Follow the installation steps introduced earlier to install the latest version of the offline version.
Summary
Sheet-to-Doc’s offline version provides users with the option to use document automation generation functionality without a network connection. The offline version has the advantages of local data processing, support for large data volumes, stable and reliable, suitable for scenarios with unstable networks, high data security requirements, and large data volume processing.
Through this guide, you have learned about the advantages, download and installation methods, usage steps, function comparisons, best practices, and common problem solutions of Sheet-to-Doc’s offline version. Whether you are in the office, on a business trip, or in other environments without a network, Sheet-to-Doc’s offline version can help you efficiently complete document automation generation work.
Now, you can download Sheet-to-Doc’s offline version and start experiencing the convenience of working efficiently without a network connection!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In modern office environments, network connections are not always reliable. Sometimes we need to complete document automation generationSheet-to-Doc离线使用指南：无需网络也能高效工作https://blog.wtsolutions.cn/sheet-to-doc-series-10-offline-guide/2026-01-07T11:30:00.000Z2026-03-28T01:17:36.593Z在现代办公环境中，网络连接并不总是可靠的。有时候我们需要在没有网络的情况下完成文档自动化生成工作，这时候Sheet-to-Doc的离线版本就派上用场了。今天，我将详细介绍Sheet-to-Doc的离线使用指南，帮助你在没有网络的情况下也能高效使用Sheet-to-Doc。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>Sheet-to-Doc是一款功能强大的文档自动化工具，可以应用于各种场景，从简单的邀请函生成到复杂的合同生成。今天，我将通过几个实际应用案例，详细介绍Sheet-to-Doc在不同场景下的具体应用，帮助你更好地理解如何使用Sheet-to-Doc解决实际问题。</p>
<Sheet-to-Doc Real-World Application Cases: From Invitation Letters to Award Notificationshttps://blog.wtsolutions.cn/sheet-to-doc-series-9-real-world-examples-en/2026-01-07T11:00:00.000Z2026-03-28T01:15:53.747ZSheet-to-Doc is a powerful automated document generation tool that can be applied to various scenarios, from simple invitation letter generation to complex contract generation. Today, I will introduce the specific application of Sheet-to-Doc in different scenarios through several real-world application cases, helping you better understand how to use Sheet-to-Doc to solve practical problems.
A company plans to hold a product launch event and needs to generate personalized invitation letters for 500 guests. Each invitation letter needs to include guest name, company, position, event time, location and other information, and needs to display different content according to guest level (VIP, ordinary guest).
Solution
Use Sheet-to-Doc’s batch document generation function, combined with conditional placeholders, to display different content according to guest levels.
Excel Data Preparation
Guest ID
Name
Company
Position
Level
Event Time
Event Location
G001
Zhang San
Company A
General Manager
VIP
2026-01-15 14:00
Beijing International Convention Center
G002
Li Si
Company B
Department Manager
Ordinary
2026-01-15 14:00
Beijing International Convention Center
G003
Wang Wu
Company C
Technical Director
VIP
2026-01-15 14:00
Beijing International Convention Center
Word Template Design
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Dear Mr./Ms. {Name}:
Hello!
We sincerely invite you to participate in our company's product launch event, with the following details:
{#Level == "VIP"}Dear VIP guest, we have prepared exclusive seats and exquisite gifts for you, looking forward to your attendance!{/} {#Level == "Ordinary"}Thank you for your support, we look forward to your participation!{/}
Sincerely, Best regards
{Company Name} {Date}
Generation Process
Import Excel data in Sheet-to-Doc
Upload Word template
Use data comparison function to check placeholders
Click the generate button to generate 500 invitation letters
Final Effect
Generated invitation letters contain personalized information, and display different content according to guest levels. Each invitation letter is an independent Word file, and the file name contains guest name and company, convenient for sending and management.
Advantages and Benefits
Improve Efficiency: From 2 days of manual generation to 10 minutes of automatic generation
Reduce Errors: Avoid errors in names, companies and other information caused by manual input
Personalized Content: Display different content according to guest levels, improving guest experience
Easy to Manage: Automatically generated file names contain key information, convenient for searching and sending
Case 2: Batch Generate Award Notifications
Scenario Description
A school held a science and technology competition and needs to generate award notifications for 100 winners. Each notification needs to include winner name, student ID, award level, instructor, prize and other information, and needs to insert winner photos.
Solution
Use Sheet-to-Doc’s image placeholder function, combined with data placeholders, to generate award notifications containing photos.
Excel Data Preparation
Student ID
Name
Student Number
Award Level
Instructor
Prize
Photo
S001
Zhao Liu
2023001
First Prize
Teacher Wang
Tablet
zhaoliu.jpg
S002
Qian Qi
2023002
Second Prize
Teacher Li
Headphones
qianqi.jpg
S003
Sun Ba
2023003
Third Prize
Teacher Zhang
Power Bank
sunba.jpg
Word Template Design
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Award Notification
Name: {Name} Student Number: {Student Number}
Congratulations on winning the {Award Level} in this science and technology competition!
Instructor: {Instructor} Prize: {Prize}
Photo: {@Photo | _inline_image}
This certificate is hereby issued as an encouragement!
{School Name} {Date}
Generation Process
Import Excel data in Sheet-to-Doc
Upload all student photo files
Upload Word template
Use data comparison function to check placeholders
Click the generate button to generate 100 award notifications
Final Effect
Generated award notifications contain student photos and personalized information, with uniform format, looking professional and standardized. Each notification is an independent Word file, convenient for printing and distribution.
Advantages and Benefits
Support Image Insertion: Easily insert student photos without manual pasting
Uniform Format: All notifications have consistent format, professional and standardized
Batch Generation: Generate 100 notifications in one operation, saving a lot of time
Easy to Print: Generated documents are convenient for printing and distribution
Case 3: Batch Generate Product Reports
Scenario Description
An e-commerce company needs to generate product reports for 1000 products, each report needs to include product name, price, stock, description, image and other information, and needs to display different statuses according to stock situation (in stock, out of stock).
Solution
Use Sheet-to-Doc’s loop placeholders and conditional placeholders to generate product reports containing product lists and status information.
Use data comparison function to check placeholders
Select Generation Mode 2 (Merged Document)
Click the generate button to generate a product report containing 1000 products
Final Effect
Generated product reports contain all product information, each product occupies a chapter, including product images and stock status. All products are in one Word document, convenient for viewing and sharing.
Advantages and Benefits
Batch Generation: Generate reports for 1000 products in one operation
Dynamic Status Display: Display different statuses according to stock situation
Include Images: Each product contains corresponding images
Easy to View: All products are in one document, convenient for browsing and sharing
Case 4: Batch Generate Service Contracts
Scenario Description
A company needs to generate service contracts for 200 customers. Each contract needs to include customer name, contact person, contract amount, service content, contract term and other information, and needs to display different payment terms according to contract amount.
Solution
Use Sheet-to-Doc’s conditional placeholders to generate contracts containing personalized payment terms.
{#Contract Amount <= 10000}One-time Payment: Pay all amounts within 7 days after signing the contract{/} {#Contract Amount > 10000 && Contract Amount <= 50000}Installment Payment: Pay 50% within 7 days after signing the contract, and the remaining 50% within 30 days after the start of service{/} {#Contract Amount > 50000}Installment Payment: Pay 30% within 7 days after signing the contract, 30% within 30 days after the start of service, and the remaining 40% after the completion of service{/}
## 4. Contract Term
{Contract Term}
## 5. Other Terms
This contract is in duplicate, each party holds one copy, and both copies have the same legal effect.
Party A (Seal):______________ Party B (Seal):______________
Click the generate button to generate 200 contracts
Final Effect
Generated contracts contain personalized information, and display different payment terms according to contract amount. Each contract is an independent Word file, convenient for signing and archiving.
Advantages and Benefits
Personalized Terms: Automatically display different payment terms according to contract amount
Uniform Format: All contracts have consistent format, professional and standardized
Batch Generation: Generate 200 contracts in one operation, saving a lot of time
Easy to Manage: Automatically generated file names contain contract numbers and customer names, convenient for searching and archiving
Case 5: Batch Generate Employee IDs
Scenario Description
A company needs to generate employee IDs for 300 employees. Each ID needs to include employee photo, name, employee number, department, position and other information, and needs unified format and style.
Solution
Use Sheet-to-Doc’s image placeholders and unified templates to generate employee IDs containing employee photos and information.
Use data comparison function to check placeholders
Select Generation Mode 2 (Merged Document)
Click the generate button to generate a document containing 300 employee IDs
Final Effect
Generated employee IDs contain employee photos and personalized information, with uniform format, looking professional and standardized. All IDs are in one Word document, convenient for printing and cutting.
Advantages and Benefits
Uniform Format: All employee IDs have consistent format, professional and standardized
Include Photos: Each ID contains employee photos
Batch Generation: Generate IDs for 300 employees in one operation
Easy to Print: All IDs are in one document, convenient for batch printing and cutting
Case Summary
Through the above five real-world application cases, we can see the powerful functions and flexible application of Sheet-to-Doc in different scenarios:
Invitation Letter Generation: Combined with conditional placeholders, display different content according to guest levels
Award Notification Generation: Use image placeholders to generate award notifications containing photos
Product Report Generation: Use loop placeholders and conditional placeholders to generate reports containing product lists and status information
Contract Generation: Combined with conditional placeholders, display different payment terms according to contract amount
Employee ID Generation: Use image placeholders and unified templates to generate employee IDs containing photos
These cases demonstrate the advantages of Sheet-to-Doc in improving work efficiency, reducing errors, maintaining consistency, and personalizing content. Whether you are in a business, school or other organization, Sheet-to-Doc can help you solve the problem of automated document generation, freeing you from tedious repetitive work and focusing on more important tasks.
How to Apply to Your Work?
Identify Repetitive Work: Find scenarios in your work that require repeated document generation
Analyze Data Structure: Analyze the data structure and format requirements for document generation
Design Templates: Design appropriate Word templates according to requirements, adding corresponding placeholders
Prepare Data: Organize data for document generation, ensuring clear data structure
Generate Documents Using Sheet-to-Doc: Import data and templates, generate personalized documents
Optimize and Improve: Continuously optimize templates and data structures based on actual usage
Through the above steps, you can apply Sheet-to-Doc to your work, improve work efficiency, reduce errors, and maintain document consistency.
In the following series of articles, we will introduce Sheet-to-Doc’s offline usage guide, helping you efficiently use Sheet-to-Doc even without a network connection. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>Sheet-to-Doc is a powerful automated document generation tool that can be applied to various scenarios, from simple invitation letterSheet-to-Doc vs Mail Merge: Choose the Best Document Generation Tool for Youhttps://blog.wtsolutions.cn/sheet-to-doc-series-8-vs-mail-merge-en/2026-01-07T10:30:00.000Z2026-03-28T01:16:06.124ZIn the field of automated document generation, mail merge is a well-known function, while Sheet-to-Doc is an emerging automated document generation tool. Both can realize automatic conversion from Excel data to Word documents, but they have obvious differences in functionality, ease of use, performance, and other aspects. Today, I will detailedly compare Sheet-to-Doc and mail merge to help you choose the most suitable document generation tool for you.
Mail merge is a built-in function of Microsoft Word and Excel, allowing users to automatically generate multiple personalized documents based on a Word template and an Excel data source. The basic process of mail merge is:
Prepare data source in Excel
Create a template in Word, add merge fields
Complete document generation using the mail merge wizard
Mail merge is a mature function that has existed for many years and is widely used for generating letters, labels, envelopes, etc.
Comprehensive Comparison Between Sheet-to-Doc and Mail Merge
1. Function Comparison
Function
Sheet-to-Doc
Mail Merge
Data Format Support
Excel, CSV, JSON, JSONL
Excel
Image Support
✅ Support dynamic image insertion
❌ Not supported or limited support
Loop Placeholders
✅ Support complex loop structures
❌ Not supported
Expression Calculation
❌ Not supported
❌ Not supported
Conditional Placeholders
✅ Support conditional display of content
❌ Not supported
Data Comparison
✅ Automatically compare data and templates
❌ Not supported
Batch Generation Modes
✅ Independent documents and merged documents
✅ Support multiple generation modes
Custom File Names
✅ Support flexible file name customization
✅ Supported but not flexible enough
Offline Use
✅ Support offline version
✅ Supported
Cross-Platform Support
✅ Support Web and desktop versions
❌ Only support Windows and Mac
2. Ease of Use Comparison
Sheet-to-Doc
Advantages:
Intuitive Web interface, easy to operate
Simplified generation process, only a few steps
Provide data comparison function to reduce errors
Support drag and drop file upload
Real-time preview of data and templates
Disadvantages:
Need to learn new tools and placeholder syntax
May need adaptation for users accustomed to Office
Mail Merge
Advantages:
Deeply integrated with Office, no additional tools required
Easy for users familiar with Office to get started
Support large data volume processing (tens of thousands of rows)
Optimized image processing algorithm
Disadvantages:
For extremely large data volumes, the browser may crash
Web version is affected by network
Mail Merge
Advantages:
Local desktop application, not affected by network
Support large data volume processing
Disadvantages:
Slow generation speed, especially for documents with complex formats
Prone to insufficient memory issues
Poor performance when processing images
4. Security Comparison
Sheet-to-Doc
Advantages:
Local data processing, no need to upload to servers
Data privacy is guaranteed
Support offline use, further enhancing security
Disadvantages:
Web version needs to run in a browser, may have browser security issues
Mail Merge
Advantages:
Local desktop application, data does not leave the local machine
Enterprise version provides stronger security guarantees
Disadvantages:
Integrated with Office, may be affected by Office security vulnerabilities
Lack of data encryption function
5. Cost Comparison
Sheet-to-Doc
Advantages:
Basic functions are completely free
Advanced functions are reasonably priced
No need to purchase Office software
Disadvantages:
Advanced functions require payment
Mail Merge
Advantages:
Included in the Office suite, no additional payment required
Enterprise version provides more functions
Disadvantages:
Need to purchase Office software, high cost
Subscription model has high long-term costs
Applicable Scenario Comparison
Scenarios Suitable for Sheet-to-Doc
Need to process complex data structures: Such as JSON data, nested data, etc.
Need to insert dynamic images: Such as product catalogs, certificates, reports, etc.
Need complex document structures: Such as documents containing loops, conditional judgments
Need cross-platform use: Such as switching between different operating systems
Need to quickly generate a large number of documents: Such as hundreds of contracts, invitation letters, etc.
Don’t want to purchase Office software: Such as individual users, small businesses, etc.
Scenarios Suitable for Mail Merge
Already purchased Office software: Such as enterprise users, schools, etc.
Need to generate simple documents: Such as letters, labels, envelopes, etc.
Accustomed to using Office tools: Such as users who have long used Word and Excel
Need deep integration with Office: Such as scenarios using Office VBA macros
No need to process complex data structures: Such as simple Excel data
Migration Guide: From Mail Merge to Sheet-to-Doc
If you are considering migrating from mail merge to Sheet-to-Doc, here are some migration guidelines:
1. Template Migration
Replace merge fields in Word templates with Sheet-to-Doc placeholders
Merge fields: «Name» → Placeholders: {Name}
Add more complex placeholders as needed, such as loop placeholders, image placeholders, etc.
2. Data Migration
Sheet-to-Doc supports Excel format, you can directly use existing Excel data
If you need to use more advanced data formats, such as JSON or JSONL, you can use tools to convert Excel data to corresponding formats
3. Testing and Optimization
Test migrated templates and data with a small amount of data
Optimize templates and placeholders based on test results
Gradually expand the scope of use until complete migration
Real-World Cases: Sheet-to-Doc vs Mail Merge
Case 1: Generate Product Catalogs
Scenario: An e-commerce company needs to generate product catalogs containing 1000 products, each product containing images, names, prices, and other information
Mail Merge Solution:
Need to use complex VBA macros or plugins to support image insertion
Slow generation speed, may take several hours
Prone to format errors
Sheet-to-Doc Solution:
Directly use image placeholders to insert dynamic images
Support loop placeholders to generate product lists
Fast generation speed, only takes a few minutes
Automatically compare data and templates, reducing errors
Case 2: Generate Personalized Invitation Letters
Scenario: An event needs to generate personalized invitation letters for 500 guests, containing guest names, companies, event information, etc.
Mail Merge Solution:
Can complete basic invitation letter generation
But does not support displaying different content based on guest levels
File name customization is not flexible enough
Sheet-to-Doc Solution:
Support conditional placeholders, display different content based on guest levels
Support flexible file name customization, such as {Name}-{Company}-Invitation.docx
Fast generation speed, easy to use
Summary
Both Sheet-to-Doc and mail merge are excellent automated document generation tools, but they have their own advantages and disadvantages, suitable for different usage scenarios.
Mail merge is a mature function, deeply integrated with Office, suitable for users who have already purchased Office software and need to generate simple documents.
Sheet-to-Doc is an emerging tool with more powerful functions, higher ease of use, and support for more data formats, suitable for users who need to process complex data structures, insert dynamic images, and use loops and conditional judgments.
When choosing a tool, it is recommended to consider factors such as function requirements, ease of use requirements, performance requirements, security requirements, cost requirements, and cross-platform requirements to select the most suitable tool for you.
In the following series of articles, we will introduce real-world application cases of Sheet-to-Doc to help you better understand how to use Sheet-to-Doc to solve practical problems. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In the field of automated document generation, mail merge is a well-known function, while Sheet-to-Doc is an emerging automated documentSheet-to-Doc vs 邮件合并：选择最适合你的文档生成工具https://blog.wtsolutions.cn/sheet-to-doc-series-8-vs-mail-merge/2026-01-07T10:30:00.000Z2026-03-28T01:16:00.012Z在文档自动化生成领域，邮件合并是一个广为人知的功能，而Sheet-to-Doc则是一款新兴的文档自动化工具。两者都可以实现从Excel数据到Word文档的自动转换，但它们在功能、易用性、性能等方面存在明显差异。今天，我将详细比较Sheet-to-Doc和邮件合并，帮助你选择最适合你的文档生成工具。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>在文档自动化生成领域，邮件合并是一个广为人知的功能，而Sheet-to-Doc则是一款新兴的文档自动化工具。两者都可以实现从Excel数据到Word文档的自动转换，但它们在功能、易用性、性能等方面存在明显差异。今天，我将详细比较Sheet-to-Doc和邮件合并，帮助你选择Sheet-to-Doc Batch Document Generation: Generate Hundreds of Documents in One Operationhttps://blog.wtsolutions.cn/sheet-to-doc-series-7-batch-generation-en/2026-01-07T10:00:00.000Z2026-03-28T01:16:19.364ZIn daily office work, we often need to process a large number of similar documents, such as batch generating contracts, invitation letters, reports, etc. Manually creating these documents is not only time-consuming and labor-intensive but also prone to errors. Sheet-to-Doc provides powerful batch document generation functionality, allowing you to generate hundreds of personalized documents in one operation. Today, I will detailedly introduce Sheet-to-Doc’s batch document generation functionality to help you master how to efficiently generate a large number of documents.
Batch document generation refers to the process of automatically generating multiple personalized documents based on a Word template and a large amount of Excel data. Sheet-to-Doc’s batch document generation functionality can:
Generate an independent Word document for each row in Excel data
Generate all data into one Word document, one document per page
Support custom generated file names
Preserve the format and style of Word templates
Support images and complex data structures
Advantages of Batch Document Generation
1. Improve Work Efficiency
Compress hours of manual work into minutes, greatly improving work efficiency. For example, generating 100 contracts manually takes several hours, while using Sheet-to-Doc only takes a few minutes.
2. Reduce Errors
Eliminate errors caused by manual copy-pasting, ensuring 100% accuracy of generated documents.
3. Maintain Consistency
All generated documents use the same template and format, ensuring brand image consistency.
4. Save Costs
Reduce labor costs and time costs, allowing employees to focus on more important tasks.
5. Support Large-Scale Data
Support processing thousands or even tens of thousands of rows of data, suitable for large-scale document generation scenarios.
Two Modes of Batch Document Generation
Sheet-to-Doc provides two batch document generation modes, which you can choose according to your needs.
1. Generation Mode 1: Independent Documents
Generate an independent Word document for each row in Excel data, each document as a separate file.
Applicable Scenarios:
Generate documents that need to be sent separately, such as contracts, invitation letters, admission notices, etc.
Generate documents that need to be archived separately, such as reports, certificates, etc.
Advantages:
Each document is independent, convenient for sending and archiving
Can customize the file name for each document
2. Generation Mode 2: Merged Document
Generate all Excel data into one Word document, one document per page.
Applicable Scenarios:
Generate documents that need to be viewed collectively, such as product catalogs, employee lists, customer lists, etc.
Generate documents that need to be printed, such as labels, business cards, etc.
Advantages:
All documents are concentrated in one file, convenient for viewing and printing
Save the number of files, easy to manage
Usage Method of Batch Document Generation
Step 1: Prepare Excel Data
Prepare an Excel table containing all data that needs to generate documents, with column names in the first row and data rows in subsequent rows.
Step 2: Prepare Word Template
Create a Word template containing placeholders, using different types of placeholders according to needs.
Directly copy Excel data and paste it into the tool
Upload Excel, CSV, JSON, or JSONL files
Step 5: Upload Template
Upload the prepared Word template file.
Step 6: Data Comparison
Use the tool’s data comparison function to check whether placeholders in the template match Excel data.
Step 7: Select Generation Mode
Select generation mode according to needs:
Generation Mode 1: Independent Documents
Generation Mode 2: Merged Document
Step 8: Customize File Names (Optional)
If you select Generation Mode 1, you can customize the generated file names, for example:
1
{Name}-{Department}-Contract.docx
Step 9: Generate Documents
Click the “Generate” button to start batch generating documents. After generation is complete, the tool will automatically download the generated documents.
Advanced Techniques for Batch Document Generation
1. Custom File Names
Sheet-to-Doc allows you to customize generated file names, which can include column values from Excel data.
Syntax:
1
{column name 1}-{column name 2}-{column name 3}.docx
Example:
1
{Name}-{Department}-Contract.docx
The generated file names will be:
Zhang San-Technical Department-Contract.docx
Li Si-Marketing Department-Contract.docx
Wang Wu-Finance Department-Contract.docx
2. Batch Processing Images
If the generated documents need to include images, you can batch upload image files, and Sheet-to-Doc will automatically match images with Excel data.
4. Generate in Batches
For extremely large data volumes (tens of thousands of rows), it is recommended to generate documents in batches, generating 1000-2000 copies each time to avoid browser crashes or too long generation time.
5. Optimize Generation Speed
Use concise template design, avoiding overly complex formats and layouts
Optimize image sizes, avoiding the use of oversized image files
Use CSV or JSONL format data to improve data processing speed
Best Practices for Batch Document Generation
1. Reasonably Organize Excel Data
Ensure that Excel data structure is clear, convenient for batch processing. For nested data, it is recommended to use the same primary key to associate data at different levels.
2. Test Templates and Data
Before generating a large number of documents, test templates and data with a small amount of data to ensure that generated documents meet expected effects.
3. Backup Original Data and Templates
Backup original Excel data and Word templates to avoid problems with generated documents due to data or template loss.
4. Monitor Generation Process
When generating a large number of documents, monitor the generation process to ensure that the browser is running normally, avoiding generation failure due to browser crashes.
5. Check Generated Documents
After generation is complete, randomly check several generated documents to ensure that content and format are correct.
6. Reasonably Name Folders
Create reasonably named folders for generated documents, convenient for management and search. For example:
For extremely large data volumes or frequent document generation scenarios, it is recommended to use the offline version of Sheet-to-Doc to avoid generation failure due to network problems.
Common Problems and Solutions for Batch Document Generation
Problem 1: Generated Documents Missing Data
Reason: Column names in Excel data do not match placeholders in Word templates, or data structure is incorrect.
Solution:
Check whether column names in Excel data are completely consistent with placeholders in Word templates
Use data comparison function to check whether placeholders are correct
Ensure that Excel data structure is correct, with column names in the first row and data rows in subsequent rows
Problem 2: Generated Documents with Messy Format
Reason: The format in Word templates is too complex, or uses unsupported formats.
Solution:
Simplify the format and layout of Word templates
Use Word’s style function to define formats instead of directly modifying text formats
Avoid using overly complex tables and image layouts
Problem 3: Slow Generation Speed
Reason: Data volume is too large, template is too complex, or image files are too large.
Solution:
Generate documents in batches
Simplify template design
Optimize image sizes
Use CSV or JSONL format data
Problem 4: Browser Crashes
Reason: Data volume is too large, browser memory is insufficient.
Solution:
Generate documents in batches, generating 1000-2000 copies each time
Use offline version of Sheet-to-Doc
Close unnecessary tabs and extensions in the browser
Problem 5: Incorrect Generated File Names
Reason: The syntax of custom file names is incorrect, or referenced column names do not exist.
Solution:
Check whether the syntax of custom file names is correct
Ensure that referenced column names exist in Excel data
Avoid using special characters as file names
Real-World Application Cases of Batch Document Generation
Case 1: Batch Generate Contracts
Scenario: A company needs to generate contracts for 1000 customers
Solution:
Prepare an Excel table containing customer information, including customer name, contact information, contract amount, etc.
Create a contract Word template, add corresponding placeholders
Use Sheet-to-Doc’s Generation Mode 1, customize the file name as {Customer Name}-Contract.docx
Generate 1000 contracts in one operation, taking only 5 minutes
Case 2: Batch Generate Invitations
Scenario: An event needs to generate invitations for 500 guests
Solution:
Prepare an Excel table containing guest information, including name, company, position, etc.
Create an invitation letter Word template, add corresponding placeholders
Use Sheet-to-Doc’s Generation Mode 1, customize the file name as {Name}-Invitation.docx
Generate 500 invitations in one operation, taking only 3 minutes
Case 3: Batch Generate Product Catalogs
Scenario: An e-commerce company needs to generate product catalogs containing 1000 products
Solution:
Prepare an Excel table containing product information, including product name, price, image, etc.
Create a product catalog Word template, add corresponding placeholders and image placeholders
Use Sheet-to-Doc’s Generation Mode 2, generating all products into one document
Generate a product catalog containing 1000 products in one operation, taking only 8 minutes
Summary
Sheet-to-Doc’s batch document generation functionality is a powerful tool that can help you efficiently generate a large number of personalized documents. By mastering the usage methods, advanced techniques, and best practices of batch document generation, you can compress hours of manual work into minutes, greatly improving work efficiency, reducing errors, and maintaining document consistency.
When using batch document generation functionality, it is recommended to reasonably organize Excel data, design concise Word templates, test templates and data, monitor the generation process, and check generated documents, which all help improve the success rate and quality of document generation.
For extremely large data volumes or frequent document generation scenarios, it is recommended to use the offline version of Sheet-to-Doc to avoid generation failure due to network problems and browser crashes.
By using Sheet-to-Doc’s batch document generation functionality, you can free yourself from tedious repetitive work, focus on more important tasks, and improve work efficiency and quality.
In the following series of articles, we will compare Sheet-to-Doc and traditional mail merge functionality to help you choose the most suitable document generation tool for you. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In daily office work, we often need to process a large number of similar documents, such as batch generating contracts, invitationSheet-to-Doc批量文档生成：一次操作生成数百份文档https://blog.wtsolutions.cn/sheet-to-doc-series-7-batch-generation/2026-01-07T10:00:00.000Z2026-03-28T01:16:13.046Z在日常办公中，我们经常需要处理大量相似的文档，例如批量生成合同、邀请函、报告等。手动创建这些文档不仅耗时耗力，还容易出错。Sheet-to-Doc提供了强大的批量文档生成功能，允许你一次操作生成数百份个性化文档。今天，我将详细介绍Sheet-to-Doc的批量文档生成功能，帮助你掌握如何高效地生成大量文档。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>在使用Sheet-to-Doc进行文档自动化生成时，模板设计是关键环节。一个设计良好的Word模板可以显著提高文档生成的效率和质量，确保生成的文档符合预期的格式和风格。今天，我将分享Sheet-to-Doc模板设计的最佳实践，帮助你创建专业、高效的Word模板。</p>
<Sheet-to-Doc Template Design Best Practices: Creating Professional Word Templateshttps://blog.wtsolutions.cn/sheet-to-doc-series-6-template-design-en/2026-01-07T09:30:00.000Z2026-03-28T01:16:28.937ZWhen using Sheet-to-Doc for automated document generation, template design is a key link. A well-designed Word template can significantly improve the efficiency and quality of document generation, ensuring that generated documents meet expected formats and styles. Today, I will share Sheet-to-Doc template design best practices to help you create professional, efficient Word templates.
Templates are the bridge connecting Excel data and final documents, determining the format, layout, and style of generated documents. A well-designed template has the following advantages:
Improve Efficiency: Reduce repeated work and improve document generation speed
Maintain Consistency: Ensure all generated documents have uniform format, consistent with brand image
Reduce Errors: Avoid format errors and content errors caused by manual editing
Easy to Maintain: Convenient for subsequent modification and updating of template content
Improve Professionalism: Generated documents look more professional and standardized
Basic Principles of Template Design
1. Keep Simple and Clear
Template design should be simple and clear, avoiding overly complex layouts and formats. Simple templates are not only easy to edit and maintain but also can improve document generation speed.
2. Uniform Format Style
Ensure that fonts, colors, paragraph spacing, table styles, and other formats in the template are uniform, consistent with the company or organization’s brand image.
3. Reasonably Use Placeholders
According to the structure of Excel data, reasonably use different types of placeholders, including data placeholders, image placeholders, loop placeholders, etc.
4. Consider Maintainability
Template design should consider subsequent maintainability, convenient for modification and updating. It is recommended to use styles rather than direct formats for easy unified modification.
5. Test Templates
Before generating a large number of documents, test templates with a small amount of data to ensure that placeholders can be correctly replaced and formats can be correctly maintained.
Specific Steps for Template Design
Step 1: Determine Template Purpose and Objectives
First, clarify the purpose and objectives of the template, such as generating contracts, reports, invitation letters, etc. Determine the template’s structure, content, and format requirements based on the purpose.
Step 2: Design Template Structure
Based on the template’s purpose, design the template’s structure, including:
Header and footer
Titles and subtitles
Body content
Tables and lists
Image positions
Signatures and dates
Step 3: Add Fixed Content
Add fixed content in the template, such as company name, logo, terms and conditions, etc. These contents remain unchanged in all generated documents.
Step 4: Insert Placeholders
According to the structure of Excel data, insert corresponding placeholders in the template:
Use {column name} to insert data placeholders
Use {@image column name | _inline_image} or {@image column name | _block_image} to insert image placeholders
Use {#data} or {#loop name} and {/data} or {/loop name} to insert loop placeholders
Use {#condition}, {#condition == "value"} or {#condition > value} to insert conditional placeholders
Step 5: Set Formats and Styles
Set the template’s formats and styles, including:
Font type, size, and color
Paragraph spacing and indentation
Title styles
Table styles
Image sizes and positions
Step 6: Test Templates
Test templates with a small amount of Excel data to ensure:
Placeholders can be correctly replaced with corresponding data
Formats can be correctly maintained
Generated documents meet expected effects
Step 7: Optimize Templates
Based on test results, optimize the template’s structure, content, and format to improve template efficiency and quality.
Advanced Template Design Techniques
1. Use Styles and Themes
Word’s style and theme functions can help you quickly unify document formats, convenient for subsequent modification and updating.
Styles: Use Word’s style function to define formats for titles, body, lists, etc., convenient for unified modification
Themes: Use Word’s theme function to define colors, fonts, and effects, maintaining brand consistency
2. Create Reusable Template Parts
For frequently used content, you can create reusable template parts, such as headers, footers, signature bars, etc., convenient for reuse in multiple templates.
3. Use Headers and Footers
Reasonably use headers and footers to add company logos, document titles, page numbers, and other information, improving document professionalism.
4. Add Table of Contents and Indexes
For long documents, you can add automatically generated tables of contents and indexes to improve document readability and usability.
5. Use Section Breaks and Page Breaks
Use section breaks and page breaks to control document layout and pagination, ensuring that generated document layouts are reasonable.
6. Protect Templates
For important templates, you can set protection passwords to prevent unauthorized modifications.
Best Practices for Template Design
1. Use Clear Placeholder Names
Choose concise and clear placeholder names, consistent with Excel column names, easy for understanding and maintenance.
2. Keep Template Structure Simple
Avoid overly complex template structures, reduce nesting levels, and improve document generation speed and reliability.
3. Use Styles Instead of Direct Formats
Use Word’s style function to define formats instead of directly modifying text formats, convenient for unified modification and maintenance.
4. Regularly Update and Maintain Templates
Regularly check and update templates to ensure that template content and formats meet the latest requirements and standards.
5. Backup Template Files
It is recommended to backup important template files to avoid being unable to generate documents due to file loss or damage.
6. Use Data Comparison Function
Before generating documents, use Sheet-to-Doc’s data comparison function to check for incorrect placeholders in templates.
7. Consider Compatibility with Different Devices
When designing templates, consider compatibility with different devices and Word versions to ensure that generated documents can be displayed normally on different devices.
8. Optimize Image Placeholders
Pre-adjust the sizes and positions of image placeholders in templates to ensure that generated images meet expected effects.
9. Test with Sample Data
Test templates with sample data to ensure that generated documents meet expected effects, and then generate a large number of documents with actual data.
10. Collect User Feedback
Collect user feedback on generated documents, continuously optimize and improve template design.
Common Problems and Solutions for Template Design
Problem 1: Placeholders Not Taking Effect
Reason: Placeholder names do not match Excel column names, or placeholder syntax is incorrect.
Solution:
Check whether placeholder names are completely consistent with Excel column names, including case and spaces
Check whether placeholder syntax is correct, such as {column name}, {@image column name | _inline_image}, etc.
Use data comparison function to check whether placeholders are correct
Problem 2: Format Loss
Reason: Direct formats are used in templates instead of styles, or style definitions in templates are incorrect.
Solution:
Use Word’s style function to define formats instead of directly modifying text formats
Check whether style definitions in templates are correct
Ensure that Excel data does not contain format information
Problem 3: Generated Document Layout Messed Up
Reason: Template structure is unreasonable, or excessive manual format adjustments are used.
Solution:
Simplify template structure and reduce nesting levels
Use section breaks and page breaks to control document layout
Avoid using excessive manual format adjustments
Problem 4: Template File Too Large
Reason: Templates contain too many images, format information, or other unnecessary content.
Solution:
Optimize images in templates to reduce image file sizes
Clear unnecessary content and formats in templates
Use Word’s “Document Inspector” to clear hidden content
Problem 5: Image Placeholder Position Incorrect
Reason: Image placeholder sizes and positions are not pre-adjusted in templates.
Solution:
Insert sample images in templates, adjust sizes and positions, then replace them with image placeholders
Ensure that the sizes of image placeholders are consistent with the proportions of actual images
Summary
Template design is a key link in Sheet-to-Doc automated document generation. A well-designed template can significantly improve the efficiency and quality of document generation, ensuring that generated documents meet expected formats and styles.
By following the basic principles of template design, designing templates according to specific steps, mastering advanced template design techniques, and following best practices, you can create professional, efficient Word templates and generate high-quality automated documents.
In the template design process, it is recommended to regularly test and optimize templates, collect user feedback, and continuously improve template design to adapt to constantly changing needs and standards.
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>When using Sheet-to-Doc for automated document generation, template design is a key link. A well-designed Word template canSheet-to-Doc Data Format Support: Comprehensive Analysis of JSON/JSONL/CSVhttps://blog.wtsolutions.cn/sheet-to-doc-series-5-data-formats-en/2026-01-07T09:00:00.000Z2026-03-28T01:16:40.611ZSheet-to-Doc supports multiple data formats, including Excel, CSV, JSON, and JSONL. This extensive format support enables Sheet-to-Doc to adapt to different data sources and usage scenarios, enhancing the tool’s flexibility and applicability. Today, I will detailedly introduce the data formats supported by Sheet-to-Doc, helping you understand how to use different data formats to generate automated documents.
1. Excel Format: The Most Commonly Used Data Format
Excel is one of the most commonly used data formats and is also the default supported format of Sheet-to-Doc. Excel files have an intuitive table structure, are easy to edit and manage, and are suitable for most document generation scenarios.
Usage Method
Create an Excel table with column names in the first row and data rows in subsequent rows
Add placeholders in Word template using the format {column name}
Directly copy Excel data or upload Excel files in the Sheet-to-Doc tool
CSV (Comma-Separated Values) is a lightweight data format that uses commas to separate different field values. CSV files have a small file size, are easy to transmit and process, and are suitable for large data volume scenarios.
Usage Method
Create a CSV file with column names in the first row and data rows in subsequent rows, separated by commas
Add placeholders in Word template using the format {column name}
Upload CSV files or directly copy CSV content in the Sheet-to-Doc tool
Generate documents
Example
1 2 3
Name,Age,Email Zhang San,25,zhangsan@example.com Li Si,30,lisi@example.com
3. JSON Format: Structured Data Format
JSON (JavaScript Object Notation) is a lightweight structured data format that is easy for humans to read and write, and easy for machines to parse and generate. JSON format is suitable for processing complex nested data structures.
Usage Method
Create a JSON file, store data in array format, with each object representing a row of data
Add placeholders in Word template using the format {field name}
Upload JSON files or directly copy JSON content in the Sheet-to-Doc tool
In Word templates, you can use {Contact.Email} and {Contact.Phone} to access nested fields.
4. JSONL Format: Line-Delimited JSON Format
JSONL (JSON Lines) is a line-delimited JSON format, with one JSON object per line. JSONL format is suitable for processing large amounts of data because it can be processed line by line without loading the entire file into memory at once.
Usage Method
Create a JSONL file with one JSON object per line
Add placeholders in Word template using the format {field name}
Upload JSONL files or directly copy JSONL content in the Sheet-to-Doc tool
Intuitive and easy to edit, supports formulas and formatting
Large file size, slow processing speed
Small data volume, needs intuitive editing
CSV
Small file size, fast processing speed
Does not support formulas and formatting, error-prone
Large data volume, simple data structure
JSON
Supports complex nested structures, easy for machine processing
Poor readability, inconvenient to edit
Complex data structure, needs program generation
JSONL
Supports large data volume, line-by-line processing
Poor readability, does not support nested structures
Very large data volume, simple data structure
Data Format Conversion Techniques
1. Excel to CSV
You can use Excel’s “Save As” function to convert Excel files to CSV format:
Open the Excel file
Click “File” → “Save As”
Select “CSV (Comma Separated)” format
Save the file
2. Excel to JSON
You can use online tools or programming languages to convert Excel files to JSON format:
Online tools: Such as Convert Excel to JSON, Excel to JSON Converter, etc.
Programming languages: Using Python’s pandas library, JavaScript’s xlsx library, etc.
3. JSON to CSV
You can use online tools or programming languages to convert JSON files to CSV format:
Online tools: Such as Convert JSON to CSV, JSON to CSV Converter, etc.
Programming languages: Using Python’s pandas library, JavaScript’s json2csv library, etc.
Best Practices for Using Data Formats
1. Choose Format Based on Data Volume
Small data volume (<1000 rows): It is recommended to use Excel format, which is intuitive and easy to edit
Medium data volume (1000-10000 rows): It is recommended to use CSV format, which has small file size and fast processing speed
Large data volume (>10000 rows): It is recommended to use JSONL format, which supports line-by-line processing
2. Choose Format Based on Data Complexity
Simple data structure: It is recommended to use Excel or CSV format
Complex nested structure: It is recommended to use JSON format
3. Keep Data Structure Clear
No matter which data format is used, the data structure should be kept clear to facilitate Sheet-to-Doc tool processing.
4. Use Clear Field Names
Choose concise and clear field names, avoiding overly complex or confusing names.
5. Test Data Formats
Before generating a large number of documents, test data formats with a small amount of data to ensure that the tool can process them correctly.
6. Backup Original Data
It is recommended to backup original data files to avoid being unable to generate documents due to data file loss.
Common Problems and Solutions for Data Formats
Problem 1: Excel Data Cannot Be Imported Correctly
Reason: Excel file format is not supported, or Excel data structure is incorrect.
Solution:
Ensure that the Excel file format is .xlsx or .xls
Ensure that Excel data structure is correct, with column names in the first row and data rows in subsequent rows
Try converting Excel files to CSV format and then importing
Problem 2: CSV Data Imported with Messy Format
Reason: Incorrect delimiters in CSV files, or contains special characters.
Solution:
Ensure that CSV files use commas as delimiters
For field values containing commas, wrap them in double quotes
Try cleaning CSV files using online tools
Problem 3: JSON Data Cannot Be Parsed Correctly
Reason: JSON format is incorrect, or contains syntax errors.
Solution:
Use JSON validation tools (such as JSONLint) to check whether JSON format is correct
Ensure that JSON data uses array format to store multiple rows of data
Fix syntax errors in JSON
Problem 4: JSONL Data Missing After Import
Reason: There are incorrectly formatted lines in JSONL files, or line separators are incorrect.
Solution:
Ensure that each line of JSONL files is a complete JSON object
Ensure that correct line separators (\n) are used
Check and fix syntax errors in JSONL
Summary
Sheet-to-Doc supports multiple data formats, including Excel, CSV, JSON, and JSONL. This extensive format support enables Sheet-to-Doc to adapt to different data sources and usage scenarios. By understanding the characteristics and usage methods of different data formats, you can choose appropriate data formats according to your own needs, improving the efficiency and flexibility of document generation.
When choosing data formats, it is recommended to consider factors such as data volume size, data complexity, and editing requirements. At the same time, following best practices for using data formats, ensuring clear data structure, concise and clear field names, testing data formats, backing up original data, etc., can all help improve the success rate and quality of document generation.
In the next series of articles, we will delve into Sheet-to-Doc’s template design best practices to help you create professional and efficient Word templates. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>Sheet-to-Doc supports multiple data formats, including Excel, CSV, JSON, and JSONL. This extensive format support enables Sheet-to-DocSheet-to-Doc数据格式支持：JSON/JSONL/CSV全解析https://blog.wtsolutions.cn/sheet-to-doc-series-5-data-formats/2026-01-07T09:00:00.000Z2026-03-28T01:16:34.465ZSheet-to-Doc支持多种数据格式，包括Excel、CSV、JSON和JSONL等。这种广泛的格式支持使得Sheet-to-Doc能够适应不同的数据源和使用场景，提高了工具的灵活性和适用性。今天，我将详细介绍Sheet-to-Doc支持的数据格式，帮助你了解如何使用不同的数据格式生成自动化文档。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>Sheet-to-Doc支持多种数据格式，包括Excel、CSV、JSON和JSONL等。这种广泛的格式支持使得Sheet-to-Doc能够适应不同的数据源和使用场景，提高了工具的灵活性和适用性。今天，我将详细介绍Sheet-to-Doc支持的数据格式，帮助你了解如何使用不Sheet-to-Doc Image Processing: How to Insert Dynamic Images in Wordhttps://blog.wtsolutions.cn/sheet-to-doc-series-4-image-processing-en/2026-01-07T08:30:00.000Z2026-03-28T01:16:53.391ZIn the process of automated document generation, image processing is an important feature. Sheet-to-Doc provides powerful image processing capabilities, allowing you to dynamically insert images into Word documents based on Excel data. Today, I will detailedly introduce Sheet-to-Doc’s image processing functionality to help you master how to insert dynamic images in Word and create richer, more professional automated documents.
Image placeholders are a special type of placeholder in Sheet-to-Doc, used to mark image positions in Word templates. When generating documents, the tool will replace these placeholders with actual image files. The basic syntax of image placeholders is {@image column name | _inline_image} or {@image column name | _block_image}, where “image column name” is the column name in Excel tables that stores image names or paths.
Basic Usage Method of Image Placeholders
Step 1: Prepare Excel Data
Add a column in Excel table to store image names or paths. For example, you can add a column named “Product Image” to store product image file names.
Product ID
Product Name
Product Image
P001
Product A
product-a.png
P002
Product B
product-b.png
P003
Product C
product-c.png
Step 2: Prepare Word Template
Add image placeholders in Word template using the format {@image column name | _inline_image} or {@image column name | _block_image}. For example:
In the Sheet-to-Doc tool, upload all image files that need to be inserted into the documents. You can upload multiple image files at once or one by one.
Step 4: Generate Documents
Click the “Generate” button, and the tool will automatically match the image names in Excel data with the uploaded image files, inserting the images into the specified positions in the Word documents.
Usage Scenarios of Image Placeholders
Scenario 1: Generate Product Catalogs
When you need to generate product catalogs containing product images, you can use image placeholders.
When you need to generate award certificates containing winner photos, you can use image placeholders.
Excel Data
Name
Award
Photo
Zhang San
First Prize
zhangsan.jpg
Li Si
Second Prize
lisi.jpg
Wang Wu
Third Prize
wangwu.jpg
Word Template
1 2 3 4 5 6 7 8
Award Certificate
This is to certify that {Name} has won {Award} in this science and technology competition.
Photo: {@Photo | _inline_image}
Date: {Date}
Scenario 3: Generate Product Reports
When you need to generate product reports containing product screenshots, you can use image placeholders.
Excel Data
Product Name
Function Description
Screenshot
Function A
Description of Function A
feature-a.png
Function B
Description of Function B
feature-b.png
Function C
Description of Function C
feature-c.png
Word Template
1 2 3 4 5 6 7 8 9 10 11
Product Function Report
{#function_list} ## {Product Name}
{Function Description}
Screenshot: {@Screenshot | _inline_image}
{/function_list}
Best Practices for Using Image Placeholders
1. Uniform Image Formats
It is recommended to use uniform image formats, such as PNG or JPG, for easy management and processing.
2. Use Clear Image Names
Choose concise and clear image names, preferably consistent with product IDs or names in Excel data for easy matching and management.
3. Optimize Image Sizes
Before uploading images, it is recommended to optimize image sizes to avoid using oversized image files, which can affect document generation speed and document size.
4. Test Image Placeholders
Before generating a large number of documents, test image placeholders with a small amount of data to ensure that images can be correctly inserted into documents.
5. Pre-adjust Image Placeholder Sizes
Pre-adjust the sizes and positions of image placeholders in Word templates to ensure that generated images meet expected effects.
6. Backup Image Files
It is recommended to backup all image files that need to be inserted into documents to avoid missing images in generated documents due to image file loss.
Common Problems and Solutions for Image Processing
Problem 1: Images Cannot Be Inserted Correctly
Reason: Image names in Excel data do not match uploaded image file names, or image file formats are not supported.
Solution:
Check whether image names in Excel data are completely consistent with uploaded image file names, including case and file extensions
Ensure that uploaded image file formats are supported (PNG, JPG, JPEG, GIF, etc.)
Re-upload image files
Problem 2: Generated Image Sizes Do Not Meet Expectations
Reason: Image placeholder sizes in Word templates are not pre-adjusted, or the images themselves are too large.
Solution:
Pre-adjust the sizes and positions of image placeholders in Word templates
Optimize the sizes and dimensions of uploaded image files
Regenerate documents
Problem 3: Images Missing from Generated Documents
Reason: Image names in Excel data do not exist in uploaded image files, or image files failed to upload.
Solution:
Check whether image names in Excel data are correct
Ensure that all required image files have been successfully uploaded
Re-upload missing image files
Problem 4: Slow Document Generation Speed
Reason: Uploaded image files are too large, or there are too many images.
Solution:
Optimize the sizes of uploaded image files
Reduce the number of documents generated at a time
Generate documents in batches
Summary
Sheet-to-Doc’s image processing functionality provides powerful support for automated document generation, allowing you to dynamically insert images into Word documents based on Excel data. By mastering the usage methods and advanced techniques of image placeholders, you can create rich, professional automated documents.
When using image placeholders, it is recommended to follow best practices, reasonably organize Excel data, choose appropriate image formats and sizes, pre-adjust the sizes and positions of image placeholders, and ensure that generated documents meet expected effects.
In the following series of articles, we will delve into Sheet-to-Doc’s data format support, including usage methods and best practices for JSON, JSONL, CSV, and other data formats. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In the process of automated document generation, image processing is an important feature. Sheet-to-Doc provides powerful imageSheet-to-Doc图片处理：如何在Word中插入动态图片https://blog.wtsolutions.cn/sheet-to-doc-series-4-image-processing/2026-01-07T08:30:00.000Z2026-03-28T01:16:46.182Z在文档自动化生成过程中，图片处理是一项重要功能。Sheet-to-Doc提供了强大的图片处理能力，允许你根据Excel数据动态插入图片到Word文档中。今天，我将详细介绍Sheet-to-Doc的图片处理功能，帮助你掌握如何在Word中插入动态图片，创建更丰富、更专业的自动化文档。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>在Sheet-to-Doc中，循环占位符是一项强大的高级功能，它允许你处理Excel中的重复数据，生成复杂的文档结构，如表格、列表、嵌套内容等。今天，我将深入探讨循环占位符的使用技巧，帮助你掌握这项功能，创建更复杂、更专业的自动化文档。</p>
<ul>
<li>官方网站：Sheet-to-Doc Advanced Features: Usage Tips for Loop Placeholdershttps://blog.wtsolutions.cn/sheet-to-doc-series-3-loop-placeholder-en/2026-01-07T08:00:00.000Z2026-03-28T01:17:12.272ZIn Sheet-to-Doc, loop placeholders are a powerful advanced feature that allows you to process repeated data in Excel and generate complex document structures, such as tables, lists, nested content, etc. Today, I will delve into the usage techniques of loop placeholders to help you master this feature and create more complex and professional automated documents.
Loop placeholders are used to define a repeated structure in Word templates, and the Sheet-to-Doc tool will automatically generate multiple instances based on repeated items in Excel data. Loop placeholders are particularly suitable for processing data with parent-child relationships, such as orders and order details, products and product features, students and grades, etc.
Two Types of Loop Placeholders
Sheet-to-Doc supports two types of loop placeholders, which have different syntax and usage scenarios.
Loop placeholders are very suitable for generating tables. You can use loop placeholders in tables to generate multiple rows of data.
Excel Data
Name
Department
Position
Salary
Zhang San
Technical Department
Engineer
8000
Li Si
Marketing Department
Manager
12000
Wang Wu
Finance Department
Accountant
9000
Word Template (Generation Mode 2)
1 2 3 4 5 6 7
Employee Information Table
| Name | Department | Position | Salary | |------|------|------|------| {#data} | {Name} | {Department} | {Position} | {Salary} Yuan | {/data}
Generated Document
1 2 3 4 5 6 7
Employee Information Table
| Name | Department | Position | Salary | |------|------|------|------| | Zhang San | Technical Department | Engineer | 8000 Yuan | | Li Si | Marketing Department | Manager | 12000 Yuan | | Wang Wu | Finance Department | Accountant | 9000 Yuan |
Scenario 3: Generate Nested Content
When Excel data has a nested structure, you can use nested loop placeholders to generate complex documents.
Excel Data
Order Number
Customer Name
Product Name
Quantity
Unit Price
OD001
Customer A
Product A
2
100
OD001
Customer A
Product B
1
200
OD002
Customer B
Product C
3
150
Word Template (Using Loop Placeholder 1)
1 2 3 4 5 6 7 8 9
Order Details
{#data} Order Number: {Order Number} Customer Name: {Customer Name}
Ensure that Excel data has a clear structure, making it easy for loop placeholders to process. For nested data, it is recommended to use the same primary key (such as order number) to associate data at different levels.
2. Use Clear Loop Names
Choose concise and clear loop names for easy understanding and maintenance.
3. Test Loop Structures
Before generating a large number of documents, test the loop structure with a small amount of data to ensure that loop placeholders can correctly process the data.
4. Avoid Excessive Nesting
Although loop placeholders can be used nested, excessive nesting can make templates complex and difficult to maintain. It is recommended to nest at most 2-3 layers of loops.
5. Combine with Other Placeholders
Flexibly combine loop placeholders, data placeholders, conditional placeholders, and image placeholders to create more powerful document templates.
6. Use Data Comparison Function
Before generating documents, use Sheet-to-Doc’s data comparison function to check whether loop placeholders are correct, avoiding the generation of incorrect documents.
Common Problems and Solutions for Loop Placeholders
Problem 1: Loop Content Not Repeating Correctly
Reason: The name of the loop placeholder does not match the column name in Excel data, or the Excel data structure is incorrect.
Solution:
Check whether the name of the loop placeholder is consistent with the column name in Excel data
Ensure that Excel data structure is correct with clear parent-child relationships
Use data comparison function to check whether placeholders are correct
Problem 2: Nested Loops Not Generating Correctly
Reason: The structure of nested loops is incorrect, or the association relationship in Excel data is not clear.
Solution:
Check whether the structure of nested loops is correct, ensuring that each loop has corresponding start and end markers
Ensure that the association relationship in Excel data is clear, using the same primary key to associate data at different levels
Simplify nested structures and reduce nesting levels
Summary
Loop placeholders are a powerful feature of Sheet-to-Doc that allows you to process complex Excel data structures and generate various types of documents. By mastering the usage techniques of loop placeholders, you can create more complex and professional document templates, realizing more efficient automated document generation.
In the following series of articles, we will delve into Sheet-to-Doc’s image processing functions, including how to insert dynamic images in Word, usage methods and best practices of image placeholders, etc. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In Sheet-to-Doc, loop placeholders are a powerful advanced feature that allows you to process repeated data in Excel and generateSheet-to-Doc Placeholder System Detailed Explanation: Automatically Fill Data into Specific Positions in Wordhttps://blog.wtsolutions.cn/sheet-to-doc-series-2-placeholder-system-en/2026-01-07T07:30:00.000Z2026-03-28T01:17:29.646ZIn Sheet-to-Doc, placeholders are the bridge connecting Excel data and Word templates. By using different types of placeholders, we can automatically fill data into specific positions in Word templates and create personalized documents. Today, I will detailedly introduce Sheet-to-Doc’s placeholder system to help you master the skills of using various placeholders.
Placeholders are positions marked with special syntax in Word templates, and the Sheet-to-Doc tool will replace these positions with corresponding values from Excel data. The basic format of placeholders is {placeholder name}, and the tool will process them differently based on the type and name of the placeholders.
1. Data Placeholders: The Most Basic Placeholder Type
Data placeholders are the most commonly used placeholder type, used to fill a single data value from Excel into a Word template.
Syntax
1
{column name}
Usage Method
Define column names in Excel table, such as “Name”, “Age”, “Email”, etc.
Add placeholders in Word template using the format {column name}
The tool will automatically replace the placeholders with corresponding column values from Excel
Name: Zhang San Age: 25 Email: zhangsan@example.com
2. Image Placeholders: Insert Dynamic Images in Word
Image placeholders are used to dynamically insert images into Word documents. Using image placeholders, you can insert different images into generated documents based on image names in Excel data.
Syntax
1 2
{@image column name | _inline_image:width:height} {@image column name | _block_image:width:height}
Usage Instructions
@image column name: Image placeholders must start with @, image column name is the column name in Excel that stores image names
_inline_image: Inline image, closely integrated with text
_block_image: Block-level image, independent of paragraphs
width and height: Optional parameters, specify image width and height (in centimeters)
Usage Method
Add a column in Excel table to store image names
Add image placeholders in Word template using the format {@image column name | _inline_image} or {@image column name | _block_image}
Upload image files to the Sheet-to-Doc tool
The tool will insert the corresponding images into the document based on image names in Excel data
Product Name: Watch Product Image: [watch.png image] (Note: This is an image, not displayed in this blog article)
Thank you for your attention!
3. Loop Placeholders: Handle Repeated Data
Loop placeholders are used to handle multiple rows of data in Excel and realize repeated content generation. Sheet-to-Doc supports two types of loop placeholders.
5. Conditional Placeholders: Display Content Based on Conditions
Conditional placeholders are used to display different content based on values in Excel data. Sheet-to-Doc supports three types of conditional placeholders.
{#data} {Name} is {Age} years old. {#Age >= 30} {Name} is 30 years old or above. {/} {/data}
Generated Document
1 2 3
Zhang San is 25 years old. Li Si is 35 years old. Li Si is 30 years old or above.
Best Practices for Using Placeholders
1. Keep Placeholder Names Consistent with Excel Column Names
Ensure that placeholder names in Word templates are completely consistent with column names in Excel tables, including case and spaces.
2. Use Clear Column Names
Choose concise and clear column names, avoiding overly complex or confusing names.
3. Test Placeholders
Before generating a large number of documents, test with a small amount of data to ensure that placeholders can be correctly replaced with corresponding data.
4. Utilize Data Comparison Function
Sheet-to-Doc provides a data comparison function that can help you find incorrect placeholders in templates. It is recommended to perform data comparison before generating documents each time.
5. Use Placeholders Nested
You can nest different types of placeholders, such as using data placeholders and conditional placeholders within loop placeholders, to create more complex document structures.
Summary
Sheet-to-Doc’s placeholder system is very powerful, supporting multiple types of placeholders, including data placeholders, image placeholders, loop placeholders, and conditional placeholders. By flexibly using these placeholders, you can create various complex document templates and realize automatic conversion from Excel to Word.
In the following series of articles, we will delve into advanced features of Sheet-to-Doc, including usage skills of loop placeholders, image processing, data format support, etc. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In Sheet-to-Doc, placeholders are the bridge connecting Excel data and Word templates. By using different types of placeholders, we canSheet-to-Doc占位符系统详解：让数据自动填入Word指定位置https://blog.wtsolutions.cn/sheet-to-doc-series-2-placeholder-system/2026-01-07T07:30:00.000Z2026-03-28T01:17:19.992Z在Sheet-to-Doc中，占位符是连接Excel数据和Word模板的桥梁。通过使用不同类型的占位符，我们可以实现数据自动填入Word指定位置，创建个性化的文档。今天，我将详细介绍Sheet-to-Doc的占位符系统，帮助你掌握各种占位符的使用技巧。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>在Sheet-to-Doc中，占位符是连接Excel数据和Word模板的桥梁。通过使用不同类型的占位符，我们可以实现数据自动填入Word指定位置，创建个性化的文档。今天，我将详细介绍Sheet-to-Doc的占位符系统，帮助你掌握各种占位符的使用技巧。</p>
<ul>
<Sheet-to-Doc Getting Started Guide: Automating Your Journey from Excel to Wordhttps://blog.wtsolutions.cn/sheet-to-doc-series-1-getting-started-en/2026-01-07T07:00:00.000Z2026-03-28T01:17:58.466ZIn daily office work, we often need to convert Excel data into Word documents, such as generating contracts, reports, invitation letters, etc. Manual copy-pasting is not only time-consuming and labor-intensive but also prone to errors. Today, I will take you on an automated journey from Excel to Word, introducing a powerful tool - Sheet-to-Doc.
Sheet-to-Doc is a tool developed by WTSolutions that can automatically batch generate Word documents from Excel data and Word templates. Building upon mail merge, it has developed more practical features to make document generation more efficient and flexible.
Core Advantages
Local Processing: All data processing is completed locally in the browser, ensuring data security and privacy
Multiple Data Source Support: Supports Excel, CSV, JSON, JSONL, and other data formats
Flexible Placeholder System: Uses simple {placeholder} syntax for easy data filling
Batch Generation: Generate hundreds of personalized documents in one operation
Preserve Template Format: Completely preserves the style and format of the Word template
Support for Image Insertion: Can dynamically insert images into generated documents
Why Choose Sheet-to-Doc?
1. Save Time
Compress hours of manual work into minutes, giving you more time to focus on more important tasks.
2. Improve Accuracy
Eliminate errors caused by manual copy-pasting, ensuring 100% accuracy of generated documents.
3. Maintain Consistency
All generated documents use the same template and format, ensuring brand image consistency.
4. Easy to Use
No programming knowledge required, anyone can quickly get started.
Getting Started with Sheet-to-Doc
Step 1: Prepare Data
First, you need to prepare an Excel table containing the data to be converted into documents. The table should have a clear structure:
First row as the header row
Subsequent rows as data rows
For example, if you want to generate invitation letters, you can prepare an Excel table with the following columns:
Name
Gender
Inviting Organization
Event Time
Event Location
Step 2: Prepare Word Template
Next, you need to prepare a Word document template for generating the final documents. The template should contain placeholders from the Excel table data.
The placeholder format is very simple, just use {column name}. For example:
1 2 3 4 5 6 7 8 9 10 11 12 13
Dear {Name}:
Hello!
We sincerely invite you to participate in the event organized by {Inviting Organization}, with the following details:
Directly copy data from Excel table and paste it into the “Data” field of the application
Or upload Excel, CSV, JSON, or JSONL files
You can view data preview in the application to ensure data is correct
Step 5: Upload Template
Upload the Word template file you prepared in Step 2.
Step 6: Data Comparison
Click the “Data Comparison” button, the application will automatically compare the Excel data and placeholders in the Word template to check for errors.
Step 7: Generate Documents
Select the generation mode and define the file name, then click the “Generate” button. The tool will fill the template with data and generate professional Word documents.
Introduction to Generation Modes
Sheet-to-Doc provides two generation modes:
Generation Mode 1: Independent Documents
Generate an independent Word document for each row of data, suitable for generating contracts, invitation letters, etc., that need to be sent separately.
Generation Mode 2: Merged Document
Generate all data into one Word document, with one document per page, suitable for generating reports, lists, etc., that need to be viewed collectively.
Real-World Application Cases
Case 1: Batch Generating Invitation Letters
Suppose you need to generate invitation letters for 100 guests, using Sheet-to-Doc only requires:
Prepare an Excel table containing guest information
Create an invitation letter Word template
Upload data and template
Click the generate button
Within minutes, 100 personalized invitation letters will be automatically generated.
Case 2: Generating Product Reports
Sales teams can use Sheet-to-Doc to batch generate product reports:
Maintain product lists, prices, and inventory information in Excel
Create a report template with company LOGO and standardized format
Automatically generate reports containing all product information
Start Your Automation Journey
Now, you have learned the basic concepts and usage methods of Sheet-to-Doc. This powerful tool can help you free yourself from tedious manual work, improve work efficiency, and give you more time to focus on more important tasks.
Whether you are an office worker, sales manager, teacher, or freelancer, Sheet-to-Doc can help you simplify the document creation process and improve work efficiency.
In the following series of articles, we will delve into various features and techniques of Sheet-to-Doc to help you better utilize this tool. Stay tuned!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In daily office work, we often need to convert Excel data into Word documents, such as generating contracts, reports, invitationSheet-to-Doc入门指南：从Excel到Word的自动化之旅https://blog.wtsolutions.cn/sheet-to-doc-series-1-getting-started/2026-01-07T07:00:00.000Z2026-03-28T01:17:48.613Z在日常办公中，我们经常需要将Excel数据转换为Word文档，例如生成合同、报告、邀请函等。手动复制粘贴不仅耗时耗力，还容易出错。今天，我将带你开启一段从Excel到Word的自动化之旅，介绍一款强大的工具——Sheet-to-Doc。
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>在日常办公中，你是否经常遇到需要将Excel数据转换为Word文档的场景？比如从客户信息表生成个性化合同、从销售数据生成产品报告、从学生名单生成录取通知书等。手动复制粘贴不仅耗时耗力，还容易出错。今天，我要向大家推荐一款专为解决这个痛点而设计的工具——<strong>SheExcel to Word Magic: Sheet-to-Doc Automatically Fills Excel Data into Word Specified Positionshttps://blog.wtsolutions.cn/sheet-to-doc-excel-to-word-automation-en/2026-01-07T06:30:00.000Z2026-03-28T01:22:39.247ZIn daily office work, do you often encounter scenarios where you need to convert Excel data to Word documents? For example, generating personalized contracts from customer information sheets, creating product reports from sales data, or producing admission letters from student lists. Manual copy-pasting is not only time-consuming and labor-intensive but also error-prone. Today, I want to recommend a powerful tool designed specifically to solve this pain point—Sheet-to-Doc, which can easily automatically fill Excel data into specified positions in Word, making table to Word conversion efficient and accurate!
What is Sheet-to-Doc?
Sheet-to-Doc is a powerful web-based tool that can automatically convert Excel, CSV, JSON, JSONL data into professional documents. Building on the basis of mail merge, this tool has developed many more features.
Most notably, all data processing is completed locally in the browser, ensuring absolute data security and privacy, which is particularly important for users handling sensitive business data.
Core Features: Making Excel to Word Easier
1. Flexible Placeholder System
Sheet-to-Doc uses a simple and intuitive {placeholder} syntax, allowing you to easily automatically fill Excel data into specified positions in Word. Simply add placeholders in the format {column name} to your Word template, and the tool will automatically populate the data from the corresponding column in Excel.
For example, if you have an Excel sheet with columns “Name”, “Position”, and “Start Date”, just write in your Word template:
1 2 3
Dear Mr./Ms. {Name}:
Congratulations on obtaining the position of {Position}, your start date is {Start Date}.
The tool will automatically generate personalized onboarding letters without any manual modifications.
2. Support for Multiple Data Sources
In addition to Excel files, Sheet-to-Doc also supports multiple data formats including CSV, JSON, and JSONL, allowing you to obtain data from different sources for document generation. Whether it’s JSON data exported from a database or CSV files generated from other systems, it can handle them easily.
3. Batch Document Generation
For scenarios that require processing large amounts of data, Sheet-to-Doc supports batch document generation functionality. With just one operation, you can generate hundreds of personalized Word documents from hundreds of rows of Excel data, greatly improving work efficiency.
4. Preserve Word Template Formatting
Documents generated using Sheet-to-Doc will completely preserve the formatting of the Word template, including fonts, colors, paragraph spacing, table styles, etc. The generated documents look as professional as if they were carefully crafted manually.
Practical Application Scenarios: Best Practices for Table to Word Conversion
Scenario 1: Batch Contract Generation
Suppose you have an Excel sheet containing information for 100 customers and need to generate a personalized contract for each customer. Using Sheet-to-Doc, you only need to:
Prepare customer name, contact information, contract amount, etc. in Excel
Create a contract template in Word, adding placeholders like {Customer Name}, {Contact Information}, {Contract Amount}
Upload data and template, click generate
In just a few minutes, 100 personalized contracts will be automatically generated, each containing detailed information for the corresponding customer.
Scenario 2: Generate Product Quotations
For sales teams, generating product quotations is a common task. Using Sheet-to-Doc, you can:
Maintain product lists, prices, and inventory information in Excel
Create a quotation template with company logo and standardized formatting
Select relevant products based on customer needs and automatically generate professional quotations
Scenario 3: Student Report Card Generation
School teachers can use Sheet-to-Doc to batch generate student report cards:
Enter student names, subject scores, and rankings in Excel
Create an attractive report card template
Generate personalized report cards for all students with one click, including detailed scores and comments
How to Use Sheet-to-Doc for Excel to Word Conversion?
Using Sheet-to-Doc to automatically fill Excel data into specified positions in Word is very simple, just three steps:
Prepare Excel Data: Ensure the first row is the header row, followed by data rows
Design Word Template: Add {column name} placeholders in the positions where you want to fill data
The entire process requires no programming knowledge and can be quickly mastered by anyone.
Why Choose Sheet-to-Doc?
1. Save Time
Compress what would have taken hours of manual work into minutes, allowing you to focus on more important tasks.
2. Improve Accuracy
Eliminate errors caused by manual copy-pasting, ensuring 100% accuracy of generated documents.
3. Maintain Consistency
All generated documents use the same template and formatting, ensuring brand image consistency.
4. Data Security
Process data locally, no need to worry about sensitive information leakage.
5. Free to Use
Basic features are completely free, meeting the needs of most users.
Video Demonstration
To give you a more intuitive understanding of how to use Sheet-to-Doc, we have prepared detailed video tutorials:
Start Using Sheet-to-Doc
If you often need to convert Excel data to Word documents, then Sheet-to-Doc is definitely your right-hand assistant. Now visit the Sheet-to-Doc official website to experience the efficiency and convenience of Excel to Word, automatically filling Excel data into Word specified positions, and table to Word conversion!
Whether you are an office worker, sales manager, teacher, or freelancer, Sheet-to-Doc can help you simplify the document creation process, improve work efficiency, and free you from tedious repetitive work.
Start using Sheet-to-Doc now and make document generation easier!
This post was originally published on 2026-01-07 at WTSolutions Blog. View the original article here.
]]><p>In daily office work, do you often encounter scenarios where you need to convert Excel data to Word documents? For example, generatingComprehensive Guide to Sheet to Doc - Automate Document Generation with Excel, JSON, and Word Templateshttps://blog.wtsolutions.cn/sheet-to-doc-comprehensive-guide-en/2026-01-02T02:00:00.000Z2026-03-28T01:23:16.886ZIntroduction to Sheet to Doc
Sheet to Doc by WTSolutions is a powerful tool that generates Word documents in bulk from Excel data and Word templates. It writes Excel data to Word templates and generates Word documents, with more powerful features built on top of traditional mail merge.
What is Sheet to Doc?
Sheet to Doc is a web-based tool that connects Excel data with Word templates to automatically generate professional documents. Simply put, it takes structured data from Excel and merges it into pre-designed Word templates, creating personalized documents in seconds. Best of all, all processing is done locally in your browser, ensuring complete privacy and security of your data.
Why Use Sheet to Doc?
Save Hours of Manual Work
Create 100 personalized invoices in minutes instead of hours
Simply prepare data in Excel, upload the template, and let the tool handle the rest
Eliminate Human Error
Manual data entry is error-prone - wrong client names, incorrect invoice amounts, or missing details
Sheet to Doc ensures every document gets accurate data from Excel, eliminating transcription errors
Maintain Brand Consistency
All documents will have consistent formatting, logos, and brand elements
No more inconsistent fonts, layouts, or missing company information
Secure and Private
Unlike other tools that store data on servers, all processing is done locally in your browser
Your sensitive business data never leaves your device
Version 2.0.0 Release: Offline Usage with Installer Version
Sheet to Doc 2.0.0 version has been officially released! This release brings the long-awaited installer version support, allowing users to use Sheet to Doc offline without worrying about data security issues.
Installer Version: More Secure Offline Usage
In version 2.0.0, we’ve added a desktop installer version supporting Windows, Mac, and Linux systems. Users can install Sheet to Doc on their local computers and use all features without an internet connection.
Supported System Versions
Windows: Supports x32 and x64 architectures
Mac: Supports latest macOS systems
Linux: Supports x64, arm64, and armv7l architectures
Data Security Guarantee
All data processing is done locally, no need to upload to servers
Sensitive data never leaves your device
Suitable for processing confidential documents and private data
Compliant with enterprise data security regulations
Supported Platforms
Desktop Version: Windows (x32, x64), Mac, Linux (x64, arm64, armv7l)
Web Version: Supports Chrome, Firefox, Safari, Edge, and other mainstream browsers
Core Features
Bulk generate Word documents from Excel data and Word templates
Support for multiple data formats: Excel spreadsheets, CSV, JSON, JSONL
Flexible template design and variable replacement
Support for custom filenames and generation modes
Intuitive user interface and simple operation流程
Detailed video tutorials and documentation
Supported Data Formats
Excel spreadsheets (.xlsx)
CSV data
JSON data
JSONL data
What are JSON and JSONL Formats?
JSON (JavaScript Object Notation)
JSON is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It’s based on key-value pair structure and is commonly used for data transfer between web applications.
JSONL is a text format where each line is a valid JSON object. This format is ideal for processing large amounts of data because it can be processed line by line without loading the entire file into memory at once.
With Sheet-to-Doc supporting JSON and JSONL formats, you can directly use data from the following applications:
Data Analysis Tools
Python/R: Easily export data as JSON/JSONL using libraries like pandas or tidyverse
Jupyter Notebook: Data analysis results can be directly exported as JSON format
Excel 365: Export JSON data through Power Query or VBA
Databases and Storage Systems
MongoDB: Natively supports JSON format, can directly export data
Elasticsearch: Search results can be exported as JSON format
AWS S3: Can store and export JSON/JSONL format data files
APIs and Web Services
REST API: Most modern APIs return data in JSON format
GraphQL: Query results can be formatted as JSON
Third-party services: Such as Google Sheets API, Airtable API, etc. all support JSON data
Automation Tools
Zapier/Make: Workflow automation tools can convert data to JSON format
Power Automate: Microsoft automation platform supports JSON data processing
Python scripts: Custom scripts can extract data from various sources and export as JSON/JSONL
AI and Large Language Models
OpenAI API: Generated data can be saved in JSON format
Claude API: Supports JSON format output
Local LLMs: Models like Llama can generate JSON format data
Workflow
Prepare Data: Excel spreadsheet, CSV, JSON, or JSONL data
Prepare Word Template: .docx document containing placeholders
Access the Tool: Use web version or desktop installer version
Fill in Data: Copy-paste or upload data files
Upload Template: Upload Word template file
Generate Documents: Set generation mode and filename, click generate button
Template System
Template Creation Basics
Use Microsoft Word or WPS to create a .docx format template file
Insert data placeholders using {placeholder} syntax
Add text, formatting, tables, images, etc. as needed
Save as .docx format
Placeholder System
1. Data Placeholders
Data placeholders are the most basic placeholder type, used to insert single data values.
Syntax: {Placeholder Name}
Example:
Excel column headers: Name, Age, Gender
Used in template: {Name}, {Age} years old, {Gender}
Generated result: John Doe, 30 years old, Male
2. Loop Placeholders
Loop placeholders are used to process multiple rows of data,实现 repeated content generation.
Syntax: {#data}...{/data}
Example:
{#data} {Name}, {Age} years old, {Gender} {/data}
3. Conditional Placeholders
Conditional placeholders are used to show or hide content based on conditions.
Basic Condition (true/false)
Syntax: {#condition}...{/condition}
Equality Check
Syntax: {#condition == "value"}...{/}
Example:
{#Prize == “Watch”} {/}
4. Filters
Filters are used to format data.
Syntax: {placeholder | filter_name:parameter}
Common Filters:
currency: Currency formatting
percentage: Percentage formatting
shortNumber: Number abbreviation (K, M, B)
toUpperCase: Convert to uppercase
Template Image Operations
Current Status of Image Placeholders
Independent image placeholders are currently under development. You can now implement image display functionality by inserting images + conditional placeholders in Word templates.
How to Implement Image Display
Conditional-Based Image Display
Implementation Principle: Use conditional placeholders to display different images based on data conditions.
Steps:
Prepare different images in the template for different conditions
Wrap images with conditional placeholders
Control image display based on data conditions
Example:
Suppose you have the following Excel data:
Name Prize John Watch Jane Power Bank Bob Watch
Template Design:
{#data} {Name} won a {Prize}, as shown below:
{#Prize == “Watch”} {/}
{#Prize == “Power Bank”} {/}
{/data}
Generated Result:
John won a Watch, as shown below:
Jane won a Power Bank, as shown below:
Bob won a Watch, as shown below:
Flexible Document Generation Modes
Sheet to Doc provides two document generation modes to meet different usage needs:
Mode 1: Generate Separate Document for Each Row
Each data row generates an independent Word document
Suitable for generating bulk personalized documents like contracts, certificates, reports, etc.
Repeatedly generates content within the document based on the template
Suitable for generating directories, summary reports, etc.
Easy for unified management and distribution
Powerful Custom Filename Feature
Sheet to Doc provides flexible custom filename functionality, allowing you to automatically generate meaningful filenames based on data content:
Default Filename: System automatically generates filenames with line numbers and timestamps
Custom Filename: Supports setting prefix, middle content (from data columns), and suffix
Real-time Preview: Uses first row data to preview generated filenames in real-time
Multiple Naming Combinations: Can be named based on multiple data fields like name, ID, date, etc.
For example, you can set the filename as Employee_{Name}_Profile.docx, and the system will automatically replace it with Employee_John_Profile.docx, Employee_Jane_Profile.docx, etc.
Advantages Over Word Mail Merge
Sheet to Doc is a powerful document generation tool that can use Excel/WPS, JSON, JSONL as data sources, write to Word templates, and generate large numbers of professional documents in bulk. Compared to traditional Word mail merge, it offers more advanced features and more flexible usage methods.
1. Support for Multiple Data Source Formats
Word mail merge mainly supports Excel spreadsheets and Access databases, while Sheet-to-Doc supports a wider range of data formats:
Excel/Tab separated data
CSV data
JSON data
JSONL data
This flexibility allows Sheet-to-Doc to easily handle data from different systems without complex data format conversion.
2. More User-Friendly Interface and Operation流程
Sheet-to-Doc adopts an intuitive three-step operation流程:
Paste Data: Directly copy data from Excel/CSV/JSON
Upload Template: Upload Word template containing placeholders
Generate Documents: Select generation mode and filename settings, click generate
The entire process requires no complex settings or configuration, even new users can quickly get started. In contrast, Word mail merge requires:
Open Word and create a template
Connect to data source
Set up mail merge fields
Configure merge options
Execute merge operation
The steps are cumbersome, the learning curve is steep, and it’s easy to make mistakes in some links.
3. Better Cross-Platform Compatibility
Sheet-to-Doc is developed based on web technology and supports all modern browsers:
Chrome
Firefox
Edge
Safari
This means you can use the same functionality on different operating systems (Windows, Mac, Linux) without worrying about software version compatibility issues.
4. Continuous Updates and Feature Expansion
As an online tool, Sheet-to-Doc can be continuously updated and expanded with features. For example, the latest version already supports:
JSON and JSONL data sources
More flexible custom filenames
Optimized user interface
In contrast, Word mail merge features are relatively fixed, with long update cycles and slow addition of new features.
5. Lower Usage Threshold
Using Sheet-to-Doc requires no:
Installation of Microsoft Office software
Learning complex mail merge operations
Writing macros or scripts
Only a modern browser is needed to complete complex document generation tasks. This is a huge advantage for users who don’t have Office software installed or are not familiar with mail merge operations.
Application Scenarios
Sheet to Doc is suitable for various industries and usage scenarios. Here are some typical applications:
Enterprise Office
Batch generate legal documents such as contracts and agreements
Automatically generate employee offers and onboarding notices
Batch generate sales reports and performance statements
Generate customer thank-you letters and follow-up letters
Education Industry
Batch generate student transcripts and comments
Automatically generate admission notices and student ID cards
Generate course schedules and teaching plans
Batch produce certificates and awards
Financial Industry
Batch generate loan contracts and repayment plans
Automatically generate bank statements and financial reports
Generate insurance policies and claim notices
Produce financial statements and audit reports
E-commerce Operations
Batch generate product manuals and user guides
Automatically generate shipping slips and logistics tracking forms
Generate after-sales service cards and warranty certificates
Create promotional activity flyers
Human Resources
Batch generate employee contracts and confidentiality agreements
Automatically generate attendance reports and pay slips
Generate training certificates and performance evaluation forms
Produce employee handbooks and company policies
Logistics Industry
Batch generate waybills and bills of lading
Automatically generate packing lists and customs declaration forms
Generate logistics tracking reports and delivery proof
Create warehouse inventory lists and stock reports
Medical Industry
Batch generate medical records and diagnosis certificates
Automatically generate prescriptions and medication guidelines
Generate physical examination reports and health certificates
Produce medical informed consent forms
Use Cases
1. Generate Reports from API Data
Suppose you need to regularly extract customer data from a CRM API and generate personalized customer reports. Now, you can directly paste the JSON data returned by the API into Sheet-to-Doc, use a predefined Word template, and generate professional reports in bulk.
2. Data Analysis Result Visualization Reports
Data analysts often need to convert analysis results into readable reports. After analyzing data using Python or R, export it as JSON format, then generate Word reports containing charts and analysis conclusions through Sheet-to-Doc.
3. Batch Generate Personalized Emails
Marketing teams can export customer information in JSONL format from customer databases, then use Sheet-to-Doc to generate personalized marketing emails or invitations, maintaining a consistent brand image.
4. Generate Contracts from MongoDB Data
Legal teams can directly export customer and project data from MongoDB as JSON format, then use Sheet-to-Doc to generate personalized contracts and agreements, improving work efficiency.
5. Documentation of AI-Generated Content
Content generated using AI (such as product descriptions, press releases, etc.) can be saved in JSON format, then structured Word documents can be generated through Sheet-to-Doc, facilitating subsequent editing and publishing.
6. Automatically Generate Invoices and Bills
Finance teams can export transaction data from accounting software in JSON format, then use Sheet-to-Doc to generate invoices and bills in bulk, reducing manual operations.
How to Get Started
How to Use Sheet-to-Doc to Process JSON/JSONL Data?
Step 1: Prepare JSON/JSONL Data
Ensure your data format is correct - JSON should be an array of objects, JSONL should be one object per line.
Sheet to Doc has become an important part of many business toolkits. It has saved countless hours, reduced errors, and ensured documents always look professional. If you find yourself overwhelmed with repetitive document creation tasks, Sheet to Doc is definitely worth trying - it will completely change your workflow!
Sheet to Doc 2.0.0 release marks a major advancement in data security and user experience. We are committed to providing users with safer, more convenient document generation tools, and protecting your data security is our top priority.
Download the installer version now and experience the security and convenience of offline usage!
This post was originally published on 2026-01-02 at WTSolutions Blog. View the original article here.
]]>A comprehensive guide to Sheet to Doc, a powerful tool for automating document generation from Excel, JSON, and Word templates.全能数据转换工具：Excel to JSON by WTSolutions 全场景使用指南 Web应用 Excel插件 WPS插件 API接口 MCP Serverhttps://blog.wtsolutions.cn/Excel-to-JSON-all-intro/2026-01-01T02:00:00.000Z2026-03-28T01:41:43.752Z在数字化办公与开发场景中，表格数据与JSON格式的相互转换是高频需求——Excel/WPS的结构化表格适合数据录入与管理，而JSON作为轻量级数据交换格式，广泛应用于网页开发、API交互、系统集成等场景。Excel to JSON by WTSolutions推出的工具集，以全场景覆盖、无缝集成、功能灵活的优势，成为解决这一需求的优选方案，其不仅支持Excel/WPS表格转JSON，还提供反向转换功能，完美适配个人办公、开发者协作与企业级应用等多元场景。
一、工具矩阵：覆盖全场景的转换解决方案
Excel to JSON by WTSolutions并非单一工具，而是一套包含5大核心产品的完整生态，无论你是普通办公用户、开发者，还是企业级需求方，都能找到适配的使用方式，以下是各工具的具体使用指南：
点击WPS顶部菜单栏“插件”选项，找到“Excel to JSON by WTSolutions”工具图标，打开转换设置面板；
根据需求配置转换规则：选择JSON格式类型，设置表头是否作为JSON键名、是否过滤重复数据等；
点击“开始转换”，完成后可在弹出的结果窗口中预览、复制或下载JSON文件；
若需反向转换（JSON转WPS表格），可在同一面板中切换“JSON to Excel”功能，粘贴JSON文本或上传JSON文件即可完成转换。
辅助资源
工具内置使用视频指南，点击面板“教程”按钮即可观看，同时支持在线客服实时咨询操作问题。
4. API接口：开发者的高效集成方案
Excel to JSON by WTSolutions提供基于HTTPS POST请求的API接口，专为开发者设计，支持将转换功能嵌入自有系统、网站或应用，实现批量转换、自动化流程集成等高级需求，兼容所有主流开发语言（如Postman、Curl、Python Requests、JavaScript fetch等）。
在数据驱动的时代，表格与JSON格式的转换需求日益频繁，而Excel to JSON by WTSolutions以“全场景覆盖、高灵活性、强适配性”的核心优势，打破了不同平台、不同用户群体的使用壁垒。无论是无需安装的便捷操作（Web应用）、深度集成的办公适配（Excel/WPS加载项），还是开发者专属的API集成、企业级的大规模处理（MCP服务），这套工具集都能提供高效、稳定的解决方案。
此外，工具遵循严格的隐私政策，明确数据收集范围与使用规范，保障用户数据安全；完善的服务协议与售后服务，让用户使用更放心。每个工具都配备了详细的使用教程与视频指南，无论你是小白用户还是专业开发者，都能快速上手。如果你正被表格与JSON的转换问题困扰，不妨尝试Excel to JSON by WTSolutions工具集，体验“一站式”数据转换的便捷与高效。如需了解更多详情，可访问官方网站或GitHub仓库查看完整指南，开启高效数据转换之旅。
This post was originally published on 2026-01-01 at WTSolutions Blog. View the original article here.
]]><p>在数字化办公与开发场景中，表格数据与JSON格式的相互转换是高频需求——Excel/WPS的结构化表格适合数据录入与管理，而JSON作为轻量级数据交换格式，广泛应用于网页开发、API交互、系统集成等场景。Excel to JSON by照片to谷歌地球/奥维地图 v2.0.0 发布 - 支持桌面离线版https://blog.wtsolutions.cn/Images-to-google-earth-ovimap-v2.0.0-release/2025-12-28T16:00:00.000Z2026-03-28T01:27:15.148Z照片to谷歌地球/奥维地图 v2.0.0 正式发布桌面离线版，支持多平台下载安装，保护用户隐私和图片数据安全
This post was originally published on 2025-12-28 at WTSolutions Blog. View the original article here.
]]><h2 id="一、应用场景"><a href="#一、应用场景" class="headerlink"Sheet to Doc 2.0.0 版本发布，支持安装版，离线使用更安全https://blog.wtsolutions.cn/sheet-to-doc-v2_0_0-zh/2025-12-28T02:00:00.000Z2026-03-28T01:15:18.102ZSheet to Doc 2.0.0 版本正式发布！本次发布带来了期待已久的安装版支持，用户现在可以离线使用 Sheet to Doc，无需担心数据安全问题。
安装版来袭，离线使用更安全
在 2.0.0 版本中，我们新增了桌面安装版，支持 Windows、Mac 和 Linux 系统。用户可以将 Sheet to Doc 安装到本地计算机上，无需联网即可使用所有功能。
支持的系统版本
Windows：支持 x32 和 x64 架构
Mac：支持最新 macOS 系统
Linux：支持 x64、arm64 和 armv7l 架构
数据安全保障
所有数据处理都在本地完成，无需上传到服务器
敏感数据不会离开您的设备
适合处理机密文档和隐私数据
符合企业数据安全规范
关于 Sheet to Doc
Sheet to Doc by WTSolutions 是一款可以将 Excel 数据和 Word 模板批量生成 Word 文档的工具。它将 Excel 数据写入 Word 模板并生成 Word 文档，在传统邮件合并的基础之上，开发了更多强大功能。
Sheet to Doc 2.0.0 版本的发布，标志着我们在数据安全和用户体验方面的重大进步。我们致力于为用户提供更安全、更便捷的文档生成工具，保护您的数据安全是我们的首要任务。
立即下载安装版，体验离线使用的安全与便捷！
This post was originally published on 2025-12-28 at WTSolutions Blog. View the original article here.
]]>Sheet to Doc 2.0.0 版本正式发布，新增安装版支持，用户可离线使用，更好地保护数据安全。比Word邮件合并功能更强大的Sheet-to-Doc优势功能https://blog.wtsolutions.cn/sheet-to-doc-vs-word-mail-merge-cn/2025-12-28T01:00:00.000Z2026-03-28T01:15:09.250ZSheet-to-Doc 相对于 Word 邮件合并的优势功能
Sheet-to-Doc 是一款强大的文档生成工具，能将 Excel/WPS， JSON, JSONL作为数据源，写入 Word 模板，批量生成大量专业文档。与传统的 Word 邮件合并相比，它提供了更多高级功能和更灵活的使用方式。本文将详细介绍 Sheet-to-Doc 相对于 Word 邮件合并的优势功能。
This post was originally published on 2025-12-28 at WTSolutions Blog. View the original article here.
]]><p>Sheet-to-Doc 相对于 Word 邮件合并的优势功能</p>
<p>Sheet-to-Doc 是一款强大的文档生成工具，能将 Excel/WPS， JSON, JSONL作为数据源，写入 Word 模板，批量生成大量专业文档。与传统的 WordAdvantages of Sheet-to-Doc Over Word Mail Mergehttps://blog.wtsolutions.cn/sheet-to-doc-vs-word-mail-merge-en/2025-12-28T01:00:00.000Z2026-03-28T01:15:02.555ZAdvantages of Sheet-to-Doc Over Word Mail Merge
Sheet-to-Doc is a powerful document generation tool that can use Excel/WPS, JSON, JSONL as data sources, write to Word templates, and generate large numbers of professional documents in bulk. Compared to traditional Word mail merge, it offers more advanced features and more flexible usage methods. This article will detail the advantages of Sheet-to-Doc over Word mail merge.
Repeatedly generates content within the document based on the template
Suitable for generating directories, summary reports, etc.
Easy for unified management and distribution
In contrast, Word mail merge is mainly used to generate a single document or batch similar documents, but lacks this flexible mode selection.
3. Powerful Custom Filename Feature
Sheet-to-Doc provides flexible custom filename functionality, allowing you to automatically generate meaningful filenames based on data content:
Default Filename: System automatically generates filenames with line numbers and timestamps
Custom Filename: Supports setting prefix, middle content (from data columns), and suffix
Real-time Preview: Uses first row data to preview generated filenames in real-time
Multiple Naming Combinations: Can be named based on multiple data fields like name, ID, date, etc.
For example, you can set the filename as Employee_{Name}_Profile.docx, and the system will automatically replace it with Employee_John_Profile.docx, Employee_Jane_Profile.docx, etc.
In contrast, filenames generated by Word mail merge are usually relatively fixed and require manual renaming or macros to achieve custom naming, which is complicated and error-prone.
4. More User-Friendly Interface and Operation Process
Sheet-to-Doc adopts an intuitive three-step operation process:
Paste Data: Directly copy data from Excel/CSV/JSON
Upload Template: Upload Word template containing placeholders
Generate Documents: Select generation mode and filename settings, click generate
The entire process requires no complex settings or configuration, even new users can quickly get started. In contrast, Word mail merge requires:
Open Word and create a template
Connect to data source
Set up mail merge fields
Configure merge options
Execute merge operation
The steps are cumbersome, the learning curve is steep, and it’s easy to make mistakes in some links.
5. Better Cross-Platform Compatibility
Sheet-to-Doc is developed based on web technology and supports all modern browsers:
Chrome
Firefox
Edge
Safari
This means you can use the same functionality on different operating systems (Windows, Mac, Linux) without worrying about software version compatibility issues.
In contrast, Word mail merge relies on Microsoft Word software, and its functionality may vary across different Word versions, and it cannot be used on devices without Word installed.
6. Continuous Updates and Feature Expansion
As an online tool, Sheet-to-Doc can be continuously updated and expanded with features. For example, the latest version already supports:
JSON and JSONL data sources
More flexible custom filenames
Optimized user interface
In contrast, Word mail merge features are relatively fixed, with long update cycles and slow addition of new features.
7. Lower Usage Threshold
Using Sheet-to-Doc requires no:
Installation of Microsoft Office software
Learning complex mail merge operations
Writing macros or scripts
Only a modern browser is needed to complete complex document generation tasks. This is a huge advantage for users who don’t have Office software installed or are not familiar with mail merge operations.
Summary
Sheet-to-Doc is superior to traditional Word mail merge in terms of security, flexibility, and ease of use. It not only retains the core functions of mail merge but also provides more advanced features, able to meet the diverse needs of modern document generation.
Whether for enterprise users or individual users, Sheet-to-Doc can help you generate professional documents more efficiently and securely, making it an ideal alternative to Word mail merge.
How to Use Sheet-to-Doc
You can access and use Sheet-to-Doc through the following methods:
Watch usage demonstration videos to understand the complete operation process
With its powerful features and friendly user experience, Sheet-to-Doc is changing the traditional document generation method, providing users with more efficient and secure document generation solutions.
This post was originally published on 2025-12-28 at WTSolutions Blog. View the original article here.
]]><h1 id="Advantages-of-Sheet-to-Doc-Over-Word-Mail-Merge"><a href="#Advantages-of-Sheet-to-Doc-Over-Word-Mail-Merge" class="headerlink"Sheet to Doc Word模板图片操作指南https://blog.wtsolutions.cn/sheet-to-doc-template-image-usage-cn/2025-12-26T06:00:00.000Z2026-03-28T01:15:37.427Z什么是 Sheet to Doc？
Sheet to Doc 是一款强大的在线工具，用于将 Excel 或 JSON 数据快速转换为格式精美的 Word 文档。它通过模板系统实现数据与格式的分离，让您能够轻松生成大量个性化文档，如报告、合同、证书等。
This post was originally published on 2025-12-22 at WTSolutions Blog. View the original article here.
]]><p>作为一名数据分析师和内容创作者，我经常需要将各种格式的数据转换为结构化文档。最近，我发现 WTSolutions 开发的 <strong>Sheet-to-Doc</strong> 工具更新了一个重要功能——支持 JSON 和 JSONLSheet-to-Doc Supports JSON and JSONL: New Way to Batch Generate Word Documentshttps://blog.wtsolutions.cn/sheet-to-doc-json-jsonl-support-en/2025-12-22T06:00:00.000Z2026-03-28T01:19:38.475ZAs a data analyst and content creator, I often need to convert various formats of data into structured documents. Recently, I discovered that the Sheet-to-Doc tool developed by WTSolutions has updated an important feature - supporting JSON and JSONL format data input! This means we can directly use structured data from various applications to quickly batch generate Word documents.
What are JSON and JSONL Formats?
JSON (JavaScript Object Notation)
JSON is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It is based on a key-value pair structure and is commonly used for data transfer between web applications.
JSONL is a text format where each line is a valid JSON object. This format is very suitable for processing large amounts of data because it can be processed line by line without loading the entire file into memory at once.
After Sheet-to-Doc supports JSON and JSONL formats, you can directly use data from the following applications:
1. Data Analysis Tools
Python/R: Easily export data to JSON/JSONL using libraries like pandas or tidyverse
Jupyter Notebook: Data analysis results can be directly exported as JSON format
Excel 365: Export JSON data through Power Query or VBA
2. Databases and Storage Systems
MongoDB: Natively supports JSON format, can directly export data
Elasticsearch: Search results can be exported as JSON format
AWS S3: Can store and export JSON/JSONL format data files
3. APIs and Web Services
REST API: Most modern APIs return data in JSON format
GraphQL: Query results can be formatted as JSON
Third-party services: Such as Google Sheets API, Airtable API, etc. all support JSON data
4. Automation Tools
Zapier/Make: Workflow automation tools can convert data to JSON format
Power Automate: Microsoft automation platform supports JSON data processing
Python scripts: Custom scripts can extract data from various sources and export to JSON/JSONL
5. AI and Large Language Models
OpenAI API: Generated data can be saved as JSON format
Claude API: Supports JSON format output
Local LLMs: Models like Llama can generate JSON format data
Specific Application Scenarios for Using JSON/JSONL with Sheet-to-Doc
1. Generate Reports from API Data
Suppose you need to regularly extract customer data from CRM API and generate personalized customer reports. Now, you can directly paste the JSON data returned by the API into Sheet-to-Doc, use a predefined Word template, and batch generate professional reports.
2. Data Analysis Result Visualization Reports
Data analysts often need to convert analysis results into readable reports. After analyzing data with Python or R, export it to JSON format, and then generate Word reports containing charts and analysis conclusions through Sheet-to-Doc.
3. Batch Generate Personalized Emails
Marketing teams can export customer information in JSONL format from customer databases, and then use Sheet-to-Doc to generate personalized marketing emails or invitations, maintaining a consistent brand image.
4. Generate Contracts from MongoDB Data
Legal teams can directly export customer and project data from MongoDB in JSON format, and then use Sheet-to-Doc to generate personalized contracts and agreements, improving work efficiency.
5. Documentation of AI-Generated Content
AI-generated content (such as product descriptions, press releases, etc.) can be saved in JSON format, and then structured Word documents can be generated through Sheet-to-Doc, facilitating subsequent editing and publishing.
6. Automatically Generate Invoices and Bills
Finance teams can export transaction data from accounting software in JSON format, and then use Sheet-to-Doc to batch generate invoices and bills, reducing manual operations.
How to Use Sheet-to-Doc to Process JSON/JSONL Data?
Step 1: Prepare JSON/JSONL Data
Ensure your data format is correct. JSON should be an array of objects, while JSONL should have one object per line.
In the data paste area, select “JSON” or “JSONL” as the data type.
Step 4: Paste Data
Paste your JSON/JSONL data into the text box, and the system will automatically preview the data.
Step 5: Upload Word Template
Prepare a Word template containing placeholders (such as {name}, {age}), and then upload it.
Step 6: Generate Documents
Select the generation mode (single document or batch), set the filename generation method, and then click the “Generate Document” button.
Step 7: Download Results
Wait for the generation to complete, then download the generated Word documents.
Advantages of Sheet-to-Doc Supporting JSON/JSONL
1. Wider Data Sources
After supporting JSON/JSONL formats, Sheet-to-Doc can directly use data from more applications and services without intermediate conversion steps.
2. Higher Processing Efficiency
JSON and JSONL are structured data formats with fast parsing speeds, suitable for processing large amounts of data.
3. Better Compatibility
Modern applications generally support JSON format. After Sheet-to-Doc supports JSON/JSONL, it can better integrate with these applications.
4. More Flexible Data Processing
JSON supports complex data structures, including nested objects and arrays. Sheet-to-Doc can process these complex data to generate richer documents.
5. Maintain Data Integrity
Directly using JSON/JSONL data can avoid possible data loss or format errors during intermediate conversion processes.
My User Experience
Recently, I used Sheet-to-Doc to process JSON data from a REST API and generated more than 200 customer reports. The entire process went very smoothly:
Data Preparation: Used Python script to fetch data from API and export to JSON format (took about 2 minutes)
Document Generation: Pasted JSON data into Sheet-to-Doc, uploaded template, generated 200 reports (took about 5 minutes)
Result Check: All reports had accurate data and consistent formatting, with no errors
Compared to the previous method using Excel as an intermediate step, this saved at least 3 hours of work time and reduced possible errors during data conversion.
Conclusion
Sheet-to-Doc supporting JSON and JSONL formats is an important feature update that greatly expands the tool’s application range and flexibility. Now, you can directly use structured data from various applications and services to quickly batch generate professional Word documents, improving work efficiency and reducing human errors.
If you often need to process structured data and generate documents, I strongly recommend you try Sheet-to-Doc’s JSON/JSONL features. It will completely change your document creation process, allowing you to focus on more valuable work!
Have you tried Sheet-to-Doc’s JSON/JSONL features? Please share your experience in the comments below!
This post was originally published on 2025-12-22 at WTSolutions Blog. View the original article here.
]]><p>As a data analyst and content creator, I often need to convert various formats of data into structured documents. Recently, I discoveredA Detailed Guide to Sheet-to-Doc Custom Filename Featurehttps://blog.wtsolutions.cn/sheet-to-doc-custom-filename-en/2025-12-22T00:30:00.000Z2026-03-28T01:23:08.883Z1. Introduction to Sheet-to-Doc
Sheet-to-Doc is a powerful document generation tool that extracts data from Excel/WPS spreadsheets and generates Word documents based on Word templates. The core feature of this tool is that all operations are completed locally, with no need to upload data to servers, ensuring maximum data security.
Key Features
Extract data directly from Excel/WPS spreadsheets
Batch generate Word documents based on Word templates
Support for two generation modes:
Generate separate Word documents for each row of data
Generate all data in a single Word document with repetition
Support for custom filename formats
Local operation, ensuring data security
Support for Chinese and English interface switching
Application Scenarios
Sheet-to-Doc is suitable for various scenarios that require batch document generation, such as:
Enterprise Office: Batch generation of contracts, quotations, employee notifications, etc.
Education Sector: Batch generation of student transcripts, certificates, notices, etc.
Sales Management: Batch generation of customer reports, sales contracts, etc.
Human Resources: Batch generation of employee files, offer letters, etc.
Financial Sector: Batch generation of invoices, receipts, financial statements, etc.
2. Detailed Introduction to Custom Filename Feature
Sheet-to-Doc v1.2.0 has added a custom filename feature, allowing users to generate personalized filenames according to their needs, improving file management convenience.
Why Do We Need Custom Filename Feature?
Before the custom filename feature was introduced, Sheet-to-Doc would use a default filename format, such as Sheet-to-Doc_Row_1_1234567890.docx. While this filename contains row numbers and timestamps, it is not intuitive for users and makes it difficult to quickly identify file content.
The custom filename feature allows users to generate meaningful filenames based on fields in the data, such as using customer names, contract numbers, dates, etc. as part of the filename, which can greatly improve file management efficiency.
How to Use the Custom Filename Feature?
Using the custom filename feature is very simple, just follow these steps:
Step 1: Prepare Data and Template
First, prepare your Excel/WPS spreadsheet data and Word template file. Ensure that the template contains the correct placeholders (format: {variable name}).
Step 2: Paste Data to Sheet-to-Doc
Open the Sheet-to-Doc webpage, paste the data from your Excel/WPS spreadsheet into the designated area. The system will automatically parse the data and display a preview.
Step 3: Upload Word Template
Click the upload area and select the prepared Word template file. After successful upload, the system will display the template filename.
Step 4: Set Filename Generation Method
In the “Filename Generation” option, select “Custom Filename”
Set the filename format:
Prefix: You can enter fixed prefix text
Middle (From Data): Select a data field from the dropdown menu, the value of this field will be the middle part of the filename
Suffix: You can enter fixed suffix text
The system will display a real-time filename preview using the first row of data for demonstration
Step 5: Generate Documents
Click the “Generate Document” button, and the system will generate Word documents according to the set filename format. The generated filenames will include your set prefix, data field values, and suffix.
Custom Filename Format Examples
Suppose you have the following customer data:
Customer Name
Contract Number
Signing Date
John Doe
CT2025001
2025-12-01
Jane Smith
CT2025002
2025-12-05
Bob Johnson
CT2025003
2025-12-10
If you set:
Prefix: Contract_
Middle: Select “Customer Name” field
Suffix: _2025
Then the generated filenames will be:
Contract_John_Doe_2025.docx
Contract_Jane_Smith_2025.docx
Contract_Bob_Johnson_2025.docx
If you set:
Prefix: Contract_
Middle: Select “Contract Number” field
Suffix: (empty)
Then the generated filenames will be:
Contract_CT2025001.docx
Contract_CT2025002.docx
Contract_CT2025003.docx
3. Advantages of Custom Filename Feature
Improve File Management Efficiency: With meaningful filenames, you can quickly identify file content without opening files
Easy File Classification and Sorting: Files can be sorted and classified according to dates, numbers, etc. in filenames
Enhanced File Recognizability: Custom filenames can include project names, customer names, and other key information, facilitating team collaboration
Flexible Naming Rules: Support for combining prefixes, data fields, and suffixes, allowing different naming rules to be set according to different needs
Automatic Handling of Illegal Characters: The system automatically replaces illegal characters in filenames, ensuring that generated filenames comply with operating system requirements
4. Conclusion
Sheet-to-Doc is a powerful document generation tool, and its custom filename feature provides users with a more flexible and convenient way to manage files. Whether for enterprise office or personal use, Sheet-to-Doc can help you improve work efficiency and reduce repetitive labor.
If you frequently need to generate documents in batches, try Sheet-to-Doc and experience the convenience brought by the custom filename feature!
This post was originally published on 2025-12-22 at WTSolutions Blog. View the original article here.
]]>A comprehensive guide to Sheet-to-Doc software features, use cases, and how to use the custom filename featureSheet-to-Doc 自定义文件名功能详解https://blog.wtsolutions.cn/sheet-to-doc-custom-filename-zh/2025-12-22T00:00:00.000Z2026-03-28T01:23:01.336Z一、Sheet-to-Doc 软件简介
Sheet-to-Doc 是一款强大的文档生成工具，它可以从 Excel/WPS 表格中获取数据，根据 Word 模板批量生成 Word 文档。该工具的核心特点是所有操作均在本地完成，无需上传数据到服务器，最大程度保护了数据安全。
This post was originally published on 2025-12-22 at WTSolutions Blog. View the original article here.
]]>详细介绍 Sheet-to-Doc 软件的功能、应用场景以及自定义文件名功能的使用方法Sheet-to-Doc: Automate Document Generation with Excel Data and Word Templateshttps://blog.wtsolutions.cn/sheet-to-doc-v_1.0.0_en/2025-12-20T02:30:00.000Z2026-03-28T01:15:27.078ZAs a business professional, I spend way too much time creating repetitive documents like invoices, reports, and letters. Copying and pasting data from Excel into Word templates was not only tedious but also error-prone. That’s why I was thrilled to discover Sheet-to-Doc by WTSolutions—a powerful web tool that automates this entire process! Today, I’ll share how this tool has transformed my workflow.
What is Sheet-to-Doc?
Sheet-to-Doc is a web-based tool that bridges Excel data and Word templates to automatically generate professional documents. Simply put, it takes structured data from Excel and merges it into pre-designed Word templates, creating personalized documents in seconds. The best part? All processing happens locally in your browser, ensuring complete data privacy and security.
Why Use Sheet-to-Doc?
1. Save Hours of Manual Work
Imagine you need to create 100 personalized invoices. With Sheet-to-Doc, you can do this in minutes instead of hours. Just prepare your data in Excel, upload your template, and let the tool handle the rest.
2. Eliminate Human Errors
Manual data entry is ripe for mistakes—typos in customer names, incorrect invoice amounts, or missed details. Sheet-to-Doc ensures every document gets the exact data from your Excel sheet, eliminating transcription errors.
3. Maintain Brand Consistency
By using standardized Word templates, all your documents will have consistent formatting, logos, and branding elements. No more inconsistent fonts, layouts, or missing company information.
4. Secure and Private
Unlike other tools that store your data on their servers, Sheet-to-Doc processes everything locally in your browser. Your sensitive business data never leaves your device.
How Does Sheet-to-Doc Work?
The process is incredibly simple, requiring just three steps:
1. Prepare Your Excel Data
Create an Excel sheet with clear headers in the first row and your data in subsequent rows. For example, if you’re creating invoices, your columns might be: Invoice Number, Customer Name, Date, Item, Quantity, Price, and Total.
2. Design Your Word Template
Create a Word document template with placeholders using the {column_name} syntax. For example, {Customer Name} will be replaced with the actual customer name from your Excel sheet. Add your company logo, standard text, and formatting as needed.
Sheet-to-Doc has become an essential tool in my business toolkit. It’s saved me countless hours, reduced errors, and ensured my documents always look professional. If you find yourself drowning in repetitive document creation tasks, I highly recommend giving Sheet-to-Doc a try—it’s a game-changer!
Have you tried Sheet-to-Doc yet? Share your experience in the comments below!
This post was originally published on 2025-12-20 at WTSolutions Blog. View the original article here.
]]><p>As a business professional, I spend way too much time creating repetitive documents like invoices, reports, and letters. Copying andSheet-to-Doc：用Excel数据和Word模板自动生成文档https://blog.wtsolutions.cn/sheet-to-doc-v_1.0.0_cn/2025-12-17T02:30:00.000Z2026-03-28T01:15:33.135Z作为一名商务人士，我经常需要创建大量重复的文档，如发票、报告和信函。从Excel复制数据到Word模板的过程不仅繁琐，而且容易出错。因此，当我发现WTSolutions开发的Sheet-to-Doc这款强大的网络工具时，我非常兴奋——它可以自动完成整个过程！今天，我想分享这款工具如何改变了我的工作流程。
This post was originally published on 2025-12-14 at WTSolutions Blog. View the original article here.
]]><h2 id="什么是图像像素RGBA提取器？"><a href="#什么是图像像素RGBA提取器？" class="headerlink"Image Pixel RGBA Extractor v2.0.0 - Professional Tool for Precise Color Data Extractionhttps://blog.wtsolutions.cn/RGBA-Extractor-v2_0_0-EN/2025-12-14T02:00:00.000Z2026-03-28T01:23:55.200ZWhat is Image Pixel RGBA Extractor?
Image Pixel RGBA Extractor is a powerful online tool designed for users who need precise color data from images. It can extract RGBA values (Red, Green, Blue, Alpha/Transparency) from each pixel in uploaded images and export the results in CSV format, making it easy for users to perform further analysis and applications.
Core Features
Multiple Pixel Extraction Methods:
Partial Pixels: Manually input coordinates or click on the image to select specific pixels
All Pixels: Export all pixel data from the entire image at once
Support for Various Image Formats: PNG, JPG, JPEG, GIF, WebP
Local Processing: All image processing is done in the browser, no upload to servers required, protecting image privacy
Intuitive User Interface:
Drag-and-drop upload functionality
Real-time image preview
Clear step-by-step guidance
Result Export: Export extracted RGBA values as CSV files for easy use in Excel, Python, and other tools
Target Audience
Designers: Need precise color values from design drafts
Developers: Implement specific color effects in front-end development
Data Analysts: Perform quantitative analysis on image data
Photographers: Analyze color distribution in photos
Students: Learn about image processing
How to Use
Step 1: Upload Image
Drag and drop an image into the upload area
Or click “Choose One File” to browse local files
Step 2: Select Extraction Method
Partial Pixels:
Manually input pixel coordinates
Click directly on the image to select pixels
All Pixels: Automatically export all pixel data from the entire image
Step 3: Extract RGBA Values
For Partial Pixels: Add pixels to the list using the selected method
For All Pixels: The system automatically processes the entire image
Step 4: Export Results
Download the CSV file containing the extracted RGBA values
Software Features
High Precision: Accurately extract RGBA values for each pixel
High Efficiency: Fast image processing, even for large-size images
Privacy Protection: Local data processing, no need to worry about image leakage
User-Friendly: Clean and intuitive interface, no professional knowledge required
Cross-Platform: Supports all modern browsers, no download or installation needed
Free to Use: Completely free online tool with no usage restrictions
Technical Highlights
Uses HTML5 Canvas for image processing
Responsive design, suitable for various screen sizes
Adopts modern web technologies to ensure high performance
Supports both Chinese and English interfaces
Practical Application Cases
Web Design
Designers can use this tool to extract color values from design drafts, ensuring that the colors implemented in front-end development match the design exactly.
Data Visualization
Data analysts can analyze color distribution in images and use color data in data visualization projects.
Machine Learning
In the field of computer vision, extracted pixel data can be used as input for training models.
How to Access
You can access the Image Pixel RGBA Extractor through the following links:
Image Pixel RGBA Extractor is a professional and practical online tool that provides a convenient solution for users who need to process image color data. Whether you are a designer, developer, or data analyst, you can benefit from this tool. Its high precision, efficiency, and privacy protection features make it a valuable assistant in the field of image processing.
If you need to extract color data from images, give this free online tool a try!
This post was originally published on 2025-12-14 at WTSolutions Blog. View the original article here.
]]><h2 id="What-is-Image-Pixel-RGBA-Extractor"><a href="#What-is-Image-Pixel-RGBA-Extractor" class="headerlink" title="What is Image Pixel图片GPS数据编辑器 - 在线编辑图片GPS地理信息位置信息https://blog.wtsolutions.cn/image-gps-editor-v_1_0_0/2025-12-12T01:00:00.000Z2026-03-28T01:28:36.076Z软件介绍
This post was originally published on 2025-12-03 at WTSolutions Blog. View the original article here.
]]><p>在数据处理和分析的日常工作中，JSON与Excel格式的相互转换是一项频繁且重要的任务。为了满足不同用户的需求，WTSolutions推出的JSON转Excel工具一直致力于提供全方位的转换解决方案。现在，这款工具又迎来了一项重要更新——新增WPS加载项功能，进一步完善了其Excel to JSON by WTSolutions 4.0.0 版本更新公告https://blog.wtsolutions.cn/Excel-to-JSON-v4_0_0-zh/2025-12-01T04:01:00.000Z2026-03-28T01:43:37.451Z新版本亮点
我们很高兴地宣布，Excel to JSON by WTSolutions 已升级到 4.0.0 版本！在这个版本中，我们最重要的更新是增加了对 WPS 办公软件的支持，推出了全新的 WPS 加载项插件，让 WPS 用户也能轻松地将工作簿转换为 JSON 格式。
Excel to JSON by WTSolutions 是一系列用于将 Excel 转换为 JSON 的工具，支持 Flat 和 Nested JSON 格式转换。它提供了全面的 “Excel 转 JSON” 解决方案，包括：
Web 应用：直接在浏览器中转换 Excel 到 JSON
Excel 加载项：在 Excel 环境中无缝工作
WPS 加载项：在 WPS 环境中无缝工作
API：通过 HTTPS POST 请求转换
MCP 服务：通过 AI 模型 MCP SSE/StreamableHTTP 请求转换
感谢您使用 Excel to JSON by WTSolutions！我们将继续努力为您提供更好的转换体验。
This post was originally published on 2025-12-01 at WTSolutions Blog. View the original article here.
]]><h2 id="新版本亮点"><a href="#新版本亮点" class="headerlink" title="新版本亮点"></a>新版本亮点</h2><p>我们很高兴地宣布，Excel to JSON by WTSolutions 已升级到 4.0.0Excel to JSON by WTSolutions 4.0.0 Update Announcementhttps://blog.wtsolutions.cn/Excel-to-JSON-v4_0_0-en/2025-12-01T04:00:00.000Z2026-03-28T01:43:38.631ZNew Version Highlights
We are excited to announce that Excel to JSON by WTSolutions has been upgraded to version 4.0.0! The most significant update in this version is the addition of support for WPS Office software, introducing a brand new WPS Add-in Plugin that allows WPS users to easily convert workbooks to JSON format.
WPS Add-in Features
The WPS Add-in Plugin provides WPS users with the same high-quality conversion experience as Excel users:
Seamless Integration: Runs directly within the WPS environment without switching to other applications
User-Friendly: Complete conversions in just a few steps through an intuitive interface
Complete Conversion: Supports converting WPS workbooks to both Flat JSON and Nested JSON
Flexible Configuration: Offers rich conversion options to meet different needs
Multi-Platform Support: Compatible with the latest versions of WPS on Windows and Linux systems
Installation Method
Prerequisites
Ensure WPS software is installed on your computer (Windows or Linux system)
Latest version of WPS is recommended for optimal experience
Video Tutorials: Detailed installation and usage video guides are available on the technical documentation page
FAQ: For any questions, please visit our contact page for support
About Excel to JSON by WTSolutions
Excel to JSON by WTSolutions is a series of tools for converting Excel to JSON, supporting both Flat and Nested JSON format conversions. It provides a comprehensive “Excel to JSON” solution, including:
Web App: Convert Excel to JSON directly in web browser
Excel Add-in: Work seamlessly within the Excel environment
WPS Add-in: Work seamlessly within the WPS environment
API: Convert via HTTPS POST request
MCP Service: Convert via AI Model MCP SSE/StreamableHTTP request
Thank you for using Excel to JSON by WTSolutions! We will continue to work hard to provide you with a better conversion experience.
This post was originally published on 2025-12-01 at WTSolutions Blog. View the original article here.
]]><h2 id="New-Version-Highlights"><a href="#New-Version-Highlights" class="headerlink" title="New Version Highlights"></a>New VersionBatch Conversion Online JSON Files (from URL) to Excel by WTSolutionshttps://blog.wtsolutions.cn/JSON-to-Excel-Batch-URL-en/2025-08-25T04:03:00.000Z2026-01-20T06:37:19.270ZProduct Introduction
JSON to Excel by WTSolutions is a powerful tool that can quickly convert JSON data into Excel format. The tool offers two usage methods: as a Microsoft Excel add-in or as an online web application, catering to the needs of different users. Whether dealing with simple flat JSON or complex nested JSON structures, this tool can handle them effortlessly and supports export to the standard XLSX file format.
Main Features and Uses
Core Features
Dual Format Support: Supports both Flat JSON and Nested JSON conversion
Cross-Platform Usage: Can be used as an Excel add-in on Windows, Mac, and Excel Online, and also accessible directly through the web application
Flexible Configuration: Provides various conversion settings, such as the selection of key separators for nested JSON, control over the maximum depth of nested structures, etc.
Data Preview: Allows previewing JSON data before conversion and viewing the generated Excel table after conversion
Applicable Scenarios
Data analysts need to convert JSON data returned by APIs into Excel for further analysis
Developers need to process JSON-formatted configuration files or data and share them with non-technical personnel in Excel format
Researchers need to convert research data in JSON format into a more manageable tabular form
Any scenario that requires converting JSON data into a structured table
Latest Update: URL Batch Conversion Function
Feature Highlights
This update brings an important Pro version feature: batch conversion of JSON files to Excel via URLs. Users can now directly load JSON files from network URLs for conversion without first downloading them to the local device, greatly improving work efficiency.
Feature Characteristics
Supports loading JSON files from multiple URLs simultaneously (up to 20 URLs)
Each URL must point to a .json format file
Supports batch input with one URL per line
Processed files can be uniformly exported to XLSX format
Usage Method
Select “Load JSON File(s) from URL [Pro]” in the “JSON Data Source” drop-down menu
Enter one or more URLs of JSON files in the text box (one URL per line)
Click the “Go” button to start the conversion
After the conversion is completed, you can preview the data and export it to XLSX format
Pro Version Features and Pricing
The URL batch conversion function is part of the professional version (Pro). The Pro version also includes other advanced features:
JSON to Excel by WTSolutions is an efficient and flexible JSON data conversion tool. The newly added URL batch conversion function further enhances its practicality, making it especially suitable for users who need to process network JSON data. Both individual users and enterprise users can enjoy an efficient data processing experience from it.
This post was originally published on 2025-08-25 at WTSolutions Blog. View the original article here.
]]><h2 id="Product-Introduction"><a href="#Product-Introduction" class="headerlink" title="Product Introduction"></a>Product批量把在线网络JSON文件(URL)转换成Excel工具 JSON to Excel by WTSolutionshttps://blog.wtsolutions.cn/JSON-to-Excel-Batch-URL-cn/2025-08-25T04:02:00.000Z2026-01-20T06:37:19.140Z产品介绍
JSON to Excel by WTSolutions 是一款功能强大的工具，能够将JSON数据快速转换为Excel格式。该工具提供两种使用方式：作为Microsoft Excel插件或作为在线网页应用，满足不同用户的需求。无论是处理简单的扁平JSON还是复杂的嵌套JSON结构，这款工具都能轻松应对，并支持导出为标准的XLSX文件格式。
This post was originally published on 2025-07-04 at WTSolutions Blog. View the original article here.
]]><h2 id="引言"><a href="#引言" class="headerlink"Image Pixel RGBA Extractor: Comprehensive Guide to Free Online Image Pixel Color Extraction Toolhttps://blog.wtsolutions.cn/RGBA-Extractor-v1.0.0-EN-update/2025-07-04T04:00:00.000Z2026-03-28T01:24:15.365ZIntroduction
In digital design, image analysis, and development processes, accurately obtaining color information for each pixel in an image is often crucial. Today, we recommend a powerful and completely free online tool - Image Pixel RGBA Extractor, which helps you easily extract RGBA values for all pixels in an image, supporting multiple output formats, no software installation required, and all operations completed directly in your browser.
Tool Overview
Image Pixel RGBA Extractor is a professional image color analysis tool developed by WTSolutions, featuring the following core characteristics:
Using Image Pixel RGBA Extractor requires just three simple steps:
Step 1: Upload Image
You have two upload options:
Drag and drop upload: Directly drag image files into the dashed box in the center of the page
File selection: Click the “Choose Files” button to select images from your local file system
Step 2: Select Output Format
In the dropdown menu below the upload area, select your desired output format:
RGBA() format: e.g., RGBA(255,255,255,255)
Hexadecimal format: e.g., #FF0000FF
Comma-separated format: e.g., 255,0,0,255
Step 3: Get Results
After processing is complete, a CSV file containing all pixel color values will be automatically downloaded to your device. You can open and view the results with Excel, Google Sheets, or any text editor.
Image Pixel RGBA Extractor is suitable for various professional scenarios:
Web and UI Design
Designers can quickly extract color schemes from reference images to ensure color consistency in design work. By analyzing pixel color distribution in excellent designs, you can also gain inspirational insights.
Data Visualization
Researchers and data analysts can use the tool to extract color data from charts and heatmaps, converting visual information into quantifiable numerical data for further analysis and processing.
Game Development
Game developers can accurately obtain color values from material images for game scene construction, character design, and special effects production, ensuring consistency in visual effects.
Digital Art Creation
Digital artists can analyze the color composition of classic works, learn color application techniques, or apply extracted color schemes to their own creations.
Printing and Publishing
Printing professionals can accurately obtain image color data to ensure color consistency between printed materials and digital designs, reducing color difference issues.
Advantages Over Similar Software
Image Pixel RGBA Extractor stands out among many similar tools with the following key advantages:
1. Fully Local Processing for Privacy Security
Unlike many online tools, all processing occurs locally in your browser. Your image files are never uploaded to any server, ensuring the security of sensitive image data.
2. No Installation Required, Ready to Use
As a pure web application, there’s no need to download or install any software, saving device space and compatible with various operating systems - just a browser is needed.
3. Multiple Output Formats for Different Needs
Three commonly used color formats are provided to meet the needs of different scenarios such as design, development, and scientific research, eliminating the need for additional format conversion.
4. Clean and Efficient User Experience
The intuitive interface design makes operation simple, even for non-professional users to get started quickly. The automated processing saves time and effort.
5. Support for Multiple Image Formats
Widely supports mainstream image formats without the need for pre-conversion, improving work efficiency.
Get Started
Visit Image Pixel RGBA Extractor now to start your experience (please replace with actual URL). If you have any questions or suggestions, feel free to contact us through the user feedback form.
Conclusion
With its convenience, security, and professionalism, Image Pixel RGBA Extractor has become an ideal choice in the field of image color extraction. Whether you’re a designer, developer, researcher, or digital art enthusiast, this tool can significantly enhance your workflow. Try it now and start your precise color extraction journey!
This post was originally published on 2025-07-04 at WTSolutions Blog. View the original article here.
]]><h2 id="Introduction"><a href="#Introduction" class="headerlink" title="Introduction"></a>Introduction</h2><p>In digital design, imageImages to Google Earth/Ovi Maps - How to view local photos on Google Earth?https://blog.wtsolutions.cn/images-to-google-earth-questions-intro/2025-07-03T05:00:00.000Z2026-03-28T01:27:08.826ZQuestions to be solved?
How to view local photos on Google Earth?
How to display local images as geotagged placemarks on Google Earth?
How to put geotagged pictures on Google Earth?
How to view local images from Google Earth at the place where images were taken?
Displaying geotagged photos on Google Earth?
How to convert geotagged pictures to KMZ/KML files?
How to show local images as overlays on Google Earth?
KMZ file show images as place marks?
Images embedded in kms files show up in Google Earth?
Converting Geotagged photos to KML photo overlays on Google Earth?
Have geotagging photos displayed on Maps?
Creating place marks from geotagged photos?
Solutions
If you have one of the above questions, you can use the Images to Google Earth/Ovi Maps tool to solve it at https://s.wtsolutions.cn/gpsen.html
Sanpshot
Images to Google Earth/Ovi Maps
Images to Google Earth/Ovi Maps is a tool that allows you to display local geotagged images on Google Earth as one place mark overlay at corresponding GPS locations. All images stays on your local device, and will not be uploaded to Google Earth server, therefore only you and those who have your kmz files can view them.
How it works
Users Drag one photo or serveral photos to the dotted area on the website;
This tool will analyse the EXIF data of the photo and extract the GPS information;
This tool write the GPS information to the KMZ file, within the KMZ file, all images will be instructed to be displayed as one place mark overlay at corresponding GPS locations;
Users download KMZ file, and open it with Google Earth or Ovi Maps (Kmz file and images are all in the same folder on your local device);
From Google Earth/Ovi Maps, users can view all images as one place mark overlay at corresponding GPS locations;
Users click on one of the place mark icons, a overlay window will be displayed, and the image will be displayed in the overlay window;
In the window, users can view Filename, Latitude, Longitude, Altitude, and the photo displayed;
Extracting GPS data and export to CSV file
After users drag photos to the dotted area, they can click the “Export to CSV File” button in the “Pro Users” area;
This tool will extract the GPS information from the EXIF data of the photos, and write the GPS information to the CSV file;
Users can download the CSV file, and open it with spreadsheet software such as Excel and Numbers;
In the CSV file, users can view Filename, Latitude, Longitude, Altitude;
Applicable Scenarios
Geotag Analysis: Analyze the geographical distribution patterns of a large number of photos to study popular shooting areas.
Travel Route Recording: Record travel routes and stopover points to generate detailed travel reports.
Scientific Research Data Collection: Used in scientific research activities such as ecological surveys and geological investigations to establish georeferenced databases.
Commercial Applications: Industries such as real estate and tourist attractions that need to display geographical location information can create location visualization reports.
Law Enforcement Evidence Collection: Law enforcement officers can record the geographical location evidence of photos taken at crime scenes.
Insurance Investigation: Record the geographical location information of accident scenes during insurance claims.
Technical Features
Batch Processing: Supports exporting GPS data from hundreds of photos at once.
Complete Data: Extracts all available EXIF GPS information.
Format Compatibility: The generated CSV file is compatible with mainstream data analysis software.
High - Performance Processing: Processed by local hardware.
Privacy Protection: All processing is done locally in the browser, and photo data is not uploaded to the server.
This post was originally published on 2025-07-03 at WTSolutions Blog. View the original article here.
]]><h2 id="Questions-to-be-solved"><a href="#Questions-to-be-solved" class="headerlink" title="Questions to be solved?"></a>Questions to beImages to Google Earth/Ovi Maps - Display Images in Google Earth and Batch Export GPS Data to CSV Filehttps://blog.wtsolutions.cn/images-to-maps-extract-gps-to-csv-en/2025-07-03T02:00:00.000Z2026-03-28T01:26:48.680ZOverview
One of the advanced features of the Images to Google Earth/Ovi Maps tool is the ability to batch export GPS information from photos into a CSV file. This feature is particularly suitable for users who need to analyze the geographical location data of a large number of photos, such as Geographic Information System (GIS) professionals, photographers, travel enthusiasts, etc. By converting the EXIF data of photos into structured tables, users can easily perform data analysis, visual display, and further geospatial processing.
Applicable Scenarios
Geotag Analysis: Analyze the geographical distribution patterns of a large number of photos to study popular shooting areas.
Travel Route Recording: Record travel routes and stopover points to generate detailed travel reports.
Scientific Research Data Collection: Used in scientific research activities such as ecological surveys and geological investigations to establish georeferenced databases.
Commercial Applications: Industries such as real estate and tourist attractions that need to display geographical location information can create location visualization reports.
Law Enforcement Evidence Collection: Law enforcement officers can record the geographical location evidence of photos taken at crime scenes.
Insurance Investigation: Record the geographical location information of accident scenes during insurance claims.
Detailed Usage Steps
Preparation
Ensure that the photos contain GPS information (most photos taken by smartphones automatically include it).
Check the photo format: Common formats such as JPG and PNG are supported.
Purchase a usage code for advanced features (scan the QR code with Alipay to pay 20 yuan and get 30 - day usage rights).
Drag the photos to the specified area (multiple - selection and dragging are supported).
Click the “Export GPS Data to CSV File” button in the “Advanced Users” area.
The system will automatically generate a CSV file containing the following information:
File name
Latitude
Longitude
Altitude
Download the generated CSV file.
Data Processing
The generated CSV file can be directly opened with spreadsheet software such as Excel and Numbers.
You can use the pivot table function in Excel for statistical analysis.
It can be imported into professional GIS software such as ArcGIS and QGIS for spatial analysis.
It supports data docking with platforms such as Google Earth and Ovi Maps.
It can be combined with programming languages such as Python and R for big data analysis.
Technical Features
Batch Processing: Supports exporting GPS data from thousands of photos at once.
Complete Data: Extracts all available EXIF GPS information.
Format Compatibility: The generated CSV file is compatible with mainstream data analysis software.
High - Performance Processing: Processed by local hardware.
Privacy Protection: All processing is done locally in the browser, and photo data is not uploaded to the server.
Notes
Data Completeness:
Some old photos may not contain GPS information.
Photos taken indoors usually do not have GPS data.
Some cameras may require manually enabling the GPS recording function.
Usage Limitations:
Advanced features require verification of the usage code to use.
The free version limits the processing of 6 photos at a time.
Some photos in special formats may need to be converted before they can be read.
Accuracy Issues:
GPS accuracy is affected by the shooting device.
Position drift may occur in high - rise building areas.
Post - processing data correction can be considered.
Frequently Asked Questions
Q: Why are the GPS data of some photos missing in the exported CSV file? A: This may be because these photos do not contain GPS information themselves. Please check whether the original photos contain GPS data.
Q: Why is the data format in the CSV file incorrect? A: Please make sure to use the latest version of Excel or other compatible software to open the file. If the problem still exists, you can try the following solutions:
Check the system regional settings.
Try opening the file with a text editor and saving it as UTF - 8 format.
Contact technical support for help.
Q: What if the exported altitude data is inaccurate? A: The altitude data recorded by the device may have errors. It is recommended to:
Check whether the altitude sensor of the device is calibrated.
Use the reference points collected by professional GPS devices for correction.
Combine with Digital Elevation Model (DEM) data for correction.
Q: How to handle photo data in different time zones? A: The tool supports the time zone conversion function. You can select the following options in the export settings:
Keep the original time zone.
Convert uniformly to UTC time.
Convert to the specified time zone.
Application Cases
Wildlife Research: Researchers take photos of animal activities in the wild and study the activity ranges and behavior patterns of animals by analyzing GPS data.
Urban Planning: Planners collect photos from all corners of the city and determine the areas that need key renovation through geographical distribution analysis.
Travel Blogs: Travel bloggers record the locations of all photos taken during their trips and generate interactive travel maps to share with readers.
Real Estate Marketing: Real estate agents organize photos of properties and create property maps with accurate location information.
Agricultural Monitoring: Farmers regularly take photos of farmland and analyze the growth status of crops through location data.
This post was originally published on 2025-07-03 at WTSolutions Blog. View the original article here.
]]><h2 id="Overview"><a href="#Overview" class="headerlink" title="Overview"></a>Overview</h2><p>One of the advanced features of the Images toJSON to Excel v3.0.0 from Excel addin to Web applicationhttps://blog.wtsolutions.cn/JSON-to-Excel-v3_0_0-en/2025-06-23T04:01:00.000Z2026-01-20T06:37:19.270Z1. Introduction
JSON to Excel 3.0.0 is a major update that expands the original Excel add-in into a full-fledged web application. You can now use it directly in your browser without installing any plugins. All conversions are performed in the browser. After previewing, you can click the download button to export the file in xlsx format. Of course, we still recommend using it as an Excel add-in for better integration with other Excel features.
Open a new worksheet in Excel 2013/2016, Excel Online, or Office 365.
Home tab or Insert tab > Add-ins
In the search box, type “JSON to Excel”
Follow the on-screen instructions to install the add-in. You’ll see a button named JSON-to-Excel in the Home tab.
Home tab > JSON to Excel > Convert
You’re now ready to use the add-in.
4. Video Examples
Video Recorded Based on Older Version
Video Demonstrating Batch Processing of Multiple JSON Files to Excel
This post was originally published on 2025-06-23 at WTSolutions Blog. View the original article here.
]]><h2 id="1-Introduction"><a href="#1-Introduction" class="headerlink" title="1. Introduction"></a>1. Introduction</h2><p>JSON to Excel 3.0.0Excel to JSON online converter flat and nested JSON converterhttps://blog.wtsolutions.cn/Excel-to-JSON-v3_0_0-en/2025-06-18T04:00:00.000Z2026-03-28T01:43:40.535ZRecently, while working with data, I encountered a challenge: converting data from an Excel spreadsheet into JSON format. During my search for a solution, I discovered the product Excel-to-JSON by WTSolutions, which turned out to be the lifesaver I had been desperately looking for! Today, I’d like to share my experience using this product.
Purpose of the Product
In modern data processing and development, JSON (JavaScript Object Notation) has become a highly popular data interchange format. It is concise, readable, and easy to transmit and parse across different programming languages and systems. On the other hand, Excel is the most commonly used spreadsheet software in our daily work, facilitating data entry, organization, and analysis.
The primary purpose of Excel-to-JSON is to quickly and accurately convert data from Excel spreadsheets into JSON format. This is incredibly useful for developers, as they can easily use the converted JSON data in scenarios like web development, API integration, and data analysis. For data analysts, converting Excel data to JSON also simplifies data processing and visualization.
System Requirements and How to Obtain
System Requirements
Excel-to-JSON boasts excellent compatibility, supporting Excel 2013 (or later), Excel Online, Office 365, and Mac versions of Excel. If you’re using it in a web browser, all you need is a JavaScript-enabled browser like Google Chrome, Mozilla Firefox, Safari, or Microsoft Edge.
How to Obtain
Getting this add-in is straightforward. In Excel 2013/2016 or later, Excel Online, or Office 365, open a new worksheet, select the Insert tab or Home tab > Add-ins, and search for “Excel-to-JSON” in the add-in search box. Click the add-in to launch it. Afterward, you’ll see the Excel-to-JSON button in the Home tab, and you can start using the plugin.
Sideloading in Excel (Recommended): In Excel 2013/2016, Excel Online, or Office 365, open a new datasheet, select the Home tab or Insert tab > Add-ins, and type “Excel to JSON” in the search box. Follow the on-screen instructions to install the add-in. Once installed, you’ll see an Excel to JSON button in the Home tab. Click Home > Excel to JSON > Convert to start using it.
Preparing the Excel Spreadsheet
Prepare your Excel spreadsheet, ensuring you select at least two rows of data, with the first row treated as the header. There are two ways to load Excel data:
Loading in a Web Browser: Copy and paste Excel data into the text area. You can copy and paste data from Excel, Google Sheets, or any other Excel-compatible software, with data separated by tabs. Alternatively, you can paste comma-separated CSV data.
Sideloading in Excel: Directly select your data from the Excel worksheet.
Performing the Conversion
Select the data to convert and choose a mode: Flat or Nested JSON mode. If you’ve subscribed to Pro Features, you can also configure additional options. Finally, click the Start button, and shortly after, you’ll see the converted JSON below the button.
Saving the JSON
Once the conversion is complete, there are several ways to save the generated JSON to your local computer:
Copy and Paste: After JSON generation, you’ll see the output in the text area. You can simply copy and paste it anywhere you need.
Copy to Clipboard: After JSON generation, locate the Copy to Clipboard button. Click it, and the JSON will be copied to your clipboard.
Save to File: (Not available for Excel for Mac users) After JSON generation, find the Save As button. Click it, and you’ll be prompted to save the JSON to a file.
Key Features
Conversion Modes
Flat JSON Mode: Converts Excel data into a flat JSON format. For example, consider the following Excel table:
Name
Age
Company
David
27
WTSolutions
Ton
26
WTSolutions
Kitty
30
Microsoft
Linda
30
Microsoft
Joe
40
Github
Using Flat JSON Mode, the converted JSON would look like this:
Nested JSON Mode: First converts the Excel data into Flat JSON, then uses the “Flat” package to unflatten keys with separators. By default, Excel-to-JSON calls the unflatten() function with the separator set to . and the overwrite parameter as true. If you’ve subscribed to Pro Features, you can customize the separator. For example, consider the following Excel table:
ID
Student.Name
Student.Surname
Student.Age
1
Meimei
Han
12
2
Lily
Jaskson
15
3
Elon
Mask
18
Using Flat JSON Mode, the converted JSON would look like this:
Empty Cell Handling: Three options for empty cells: empty string "", JSON null, or exclusion.
Boolean Formatting: Three boolean conversion formats: JSON true/false, string "true"/"false", or numeric 1/0.
Single Object JSON Output: When only one row of data exists, choose whether to output as a single JSON object or an array.
Date Formatting: Two options for date conversion: days since 1990-01-01 or ISO 8601 string format.
Custom Filename: Customize the filename when using the Save As feature.
Conclusion
Overall, Excel-to-JSON is an incredibly practical tool that has significantly improved my efficiency in converting Excel data to JSON format. It’s user-friendly, highly compatible, and packed with features, making it a product worth recommending to both developers and data analysts. If you frequently need to convert Excel data to JSON, give Excel-to-JSON a try—I’m sure it’ll pleasantly surprise you!
This post was originally published on 2025-06-18 at WTSolutions Blog. View the original article here.
]]><p>Recently, while working with data, I encountered a challenge: converting data from an Excel spreadsheet into JSON format. During my探索 Excel-to-JSON 高效数据转换的利器https://blog.wtsolutions.cn/Excel-to-JSON-v3_0_0-zh/2025-06-12T04:01:00.000Z2026-03-28T01:43:39.916Z最近，我在处理数据时遇到了一个难题：需要将 Excel 表格中的数据转换为 JSON 格式。在寻找解决方案的过程中，我发现了 Excel-to-JSON by WTSolutions 这款产品，它简直就是我苦苦寻觅的救星！今天，我就来和大家分享一下我使用这款产品的体验。
This post was originally published on 2025-06-12 at WTSolutions Blog. View the original article here.
]]><p>最近，我在处理数据时遇到了一个难题：需要将 Excel 表格中的数据转换为 JSON 格式。在寻找解决方案的过程中，我发现了 Excel-to-JSON by WTSolutionsJSON to Excel 3.0.0 版本发布 - 从Excel插件到Web应用的转变https://blog.wtsolutions.cn/JSON-to-Excel-v3_0_0-zh/2025-06-03T04:01:00.000Z2026-01-20T06:37:19.190Z1. 简介
JSON to Excel 3.0.0 是一个重大更新版本，将原有的Excel插件扩展为完整的Web应用。现在您可以直接在浏览器中使用它，无需安装任何插件。所有的转换在浏览器中完成，预览后，可点击下载按钮，导出成xlsx格式文件。当然，我们依然是推荐您把它当作一个Excel插件使用，以便更好地与其他Excel功能集成。
This post was originally published on 2025-06-01 at WTSolutions Blog. View the original article here.
]]><p>我们很高兴地宣布 Excel to JSON 插件已升级到 2.4.0 版本！本次更新带来了两项重要功能，旨在为您提供更大的灵活性和更强大的数据处理能力。</p>
<h2 id="主要更新内容："><a href="#主要更新内容：" class="headerlink"Excel to JSON Plugin Version 2.4.0 Updatehttps://blog.wtsolutions.cn/Excel-to-JSON-v2_4_0-en/2025-06-01T04:00:00.000Z2026-03-28T01:43:42.701ZWe are excited to announce that the Excel to JSON plugin has been upgraded to version 2.4.0! This update brings two significant features designed to provide you with greater flexibility and more powerful data processing capabilities.
Key Updates:
1. Users can choose headers from rows or columns
In previous versions, the plugin typically defaulted to using the first row as headers. Now, we’ve introduced a more flexible option, allowing you to freely select first row or first column in your data source to serve as the keys (headers) for your JSON data. This means you can more precisely control the data conversion process, easily extracting the information you need regardless of your Excel file’s structure.
2. Users can choose to preserve a single object JSON as an array or object
When Excel data contained only a single record, older versions might have automatically converted it into a standalone JSON object. In the new version, you have the option to force this single-record data into an array containing a single object, or to keep it as an independent JSON object. This feature provides great convenience for maintaining data structure consistency, especially when integrating with other systems.
We believe these new features will significantly enhance your productivity and data processing experience. Update to version 2.4.0 now to experience a more powerful and flexible Excel to JSON conversion!
This post was originally published on 2025-06-01 at WTSolutions Blog. View the original article here.
]]><p>We are excited to announce that the Excel to JSON plugin has been upgraded to version 2.4.0! This update brings two significant featuresTWTSolutions水厂污水厂设计计算软件：化学强化絮凝单元https://blog.wtsolutions.cn/TWTSolutions-XuNing1/2025-05-27T06:20:00.000Z2026-03-28T01:14:31.430Z点赞，收藏，支持作者的持续创作，感谢~~
This post was originally published on 2025-05-18 at WTSolutions Blog. View the original article here.
]]><h2 id="引言"><a href="#引言" class="headerlink"JSON-to-Excel Batch Conversion v2.1.2 New Featureshttps://blog.wtsolutions.cn/Batch-conversion-json-to-excel-en/2025-05-18T15:25:06.000Z2026-03-28T01:11:08.495ZIntroduction
JSON-to-Excel is a powerful Excel add-in designed for users who need to process JSON data. The latest version (v2.1.2) introduces batch conversion functionality, making data processing more efficient and convenient. This article will detail three core features of this functionality.
Core Features
1. Privacy Protection: In-Excel Conversion
In today’s world where data security is increasingly important, JSON-to-Excel adopts a completely localized conversion solution:
All data conversion processes occur entirely within Excel
No internet connection required, no data transmission to external servers
Ensures your sensitive data remains under your control
2. Efficient Batch Processing
A major highlight of the new version is its batch processing capability:
Select multiple local JSON files at once (up to 20)
Automatically process all selected files in sequence
No repetitive operations, significantly improving work efficiency
Ideal for scenarios involving large volumes of data files
3. Flexible Data Structure Support
JSON-to-Excel supports two conversion modes to meet different data structure requirements:
Flat JSON Mode
Suitable for simple single-layer JSON data structures
Directly maps JSON key-value pairs to Excel spreadsheets
Simple operation, fast conversion
Nested JSON Mode
Supports complex JSON structures with multiple nested levels
Automatically expands nested levels while maintaining data relationships
Customizable nested delimiters (dot, underscore, or forward slash)
Follow the installation guide to complete the setup
How to Use
Click “Load JSON File(s)” button in the Pro Features section
Select JSON files for conversion (multiple selection allowed, up to 20 files)
Choose appropriate conversion mode (Flat or Nested)
Configure conversion parameters as needed (delimiter and max depth for nested mode)
Click “Go” button to start conversion
Conclusion
The batch conversion functionality of JSON-to-Excel brings significant efficiency improvements to data processing work. Through local conversion ensuring data security, batch processing improving efficiency, and flexible mode selection adapting to different data structures, JSON data conversion becomes an effortless task. Whether you’re a data analyst, developer, or business professional, you can benefit from this functionality.
This post was originally published on 2025-05-18 at WTSolutions Blog. View the original article here.
]]><h2 id="Introduction"><a href="#Introduction" class="headerlink" title="Introduction"></a>Introduction</h2><p>JSON-to-Excel is a powerfulExcel-to-JSON插件专业版功能详解让Excel数据转换更灵活https://blog.wtsolutions.cn/Excel-to-JSON-Pro-Features-cn/2025-05-12T04:00:00.000Z2026-03-28T01:43:58.276Z前言
This post was originally published on 2025-05-11 at WTSolutions Blog. View the original article here.
]]><h2 id="软件介绍"><a href="#软件介绍" class="headerlink"Images to Google Earth/OviMap User Guidehttps://blog.wtsolutions.cn/Images-to-google-maps-user-guide-en/2025-05-11T06:00:00.000Z2026-03-28T01:26:55.624ZSoftware Introduction
Images to Google Earth/OviMap is a cross-platform image processing tool developed by WTSolutions that allows you to import photos with GPS information into Google Earth or OviMap. The software supports Windows, Mac, iOS, Linux, and Android systems, requiring no download or installation - it runs directly in your browser.
Key Features
Extract GPS information from photos
Generate KMZ files compatible with Google Earth/OviMap
Display photos at their captured locations on mapping software
Support batch processing of multiple photos
Advanced features (customize image display size, export GPS data to Excel, etc.)
Export all photo GPS data to CSV file (Excel compatible)
Use Cases
Travel Photo Organization: Visualize travel photos on a map
Location Documentation: Record and share location-specific images
Photography Portfolio: Display photographs from different locations on a map
Geographic Data Collection: Collect and organize images with geographical information
Important Notes
Ensure uploaded photos contain GPS information
Set correct local image path when using OviMap
Follow file path naming conventions, avoid special characters
Recommended to use modern browsers to access the tool
This post was originally published on 2025-05-11 at WTSolutions Blog. View the original article here.
]]><h2 id="Software-Introduction"><a href="#Software-Introduction" class="headerlink" title="Software Introduction"></a>SoftwareHandling Nested JSON Data in Excel A Guide to json-to-excel Pluginhttps://blog.wtsolutions.cn/convert-nested-json-to-excel-en/2025-05-04T19:26:06.000Z2026-03-28T01:13:16.545ZIntroduction
In our daily data processing work, we often encounter scenarios where we need to handle nested JSON data, especially when dealing with API responses that have complex hierarchical structures. Today, I’d like to share a very useful tool - WTSolutions’ json-to-excel plugin, which helps us easily process such data in Excel.
Plugin Overview
json-to-excel is a plugin specifically designed for Microsoft Excel that can convert JSON data into Excel spreadsheet format. The most notable feature of this plugin is its support for handling nested JSON data, capable of flattening complex JSON structures into an easy-to-understand and manageable tabular format.
The converted Excel spreadsheet will contain the following columns:
user.name
user.contact.email
user.contact.phone
orders.0.id
orders.0.amount
Best Practices
Data Preprocessing
Check JSON format correctness before conversion
Use online JSON validation tools for format verification
Choose Appropriate Conversion Mode
Use Flat JSON Mode for simple data structures
Use Nested JSON Mode for multi-level nested data
Pro Features Usage Tips
Choose delimiter based on data structure
Set reasonable nesting depth to avoid over-complexity
Performance Optimization
Avoid processing too much data at once
Process large datasets in batches
Common Issues and Solutions
Data Format Errors
Ensure JSON data is in valid array format
Check for illegal characters
Incomplete Conversion Results
Verify nesting depth settings
Confirm all necessary data fields are present
Conclusion
The json-to-excel plugin greatly simplifies the task of handling JSON data in Excel. By properly utilizing its features, we can more efficiently process various complex data structures. I hope this experience sharing helps those who need to handle JSON data in Excel.
This post was originally published on 2025-04-23 at WTSolutions Blog. View the original article here.
]]><p>如果您通过搜索引擎，搜索下载获得了<strong>T WTSolutions给水污水设计计算软件</strong>，那么应该是若干年前发布的软件版本，现在可能已经无法正常使用，或者部分功能无法正常使用了。</p>
<p>推荐您直接通过网页版本访问 <aMy Excel Formula Cleanup Experience: Efficiently Preserve Calculated Results and Remove Formulas with an Excel Add-inhttps://blog.wtsolutions.cn/Using-datasheet-formula-remover-to-protect-business-EN/2025-04-11T09:10:00.000Z2026-03-28T01:13:56.251ZAs a finance professional who frequently works with Excel reports, I often encounter situations where I need to remove formulas while keeping the calculated results. In the past, I would manually copy and paste as “values,” but with large spreadsheets, this method was not only inefficient but also prone to errors. That was until I discovered the Datasheet Formula Remover Excel add-in, which made this process incredibly simple! Today, I’d like to share my experience using it.
Why Do I Need to Remove Excel Formulas?
In my daily work, I encounter the following scenarios where I must delete formulas and retain only the calculated results:
1. Protecting Core Business Algorithms
Our company’s financial models involve complex cost-calculation logic. If shared directly with suppliers or clients, this could leak proprietary information. With this add-in, I can clear all formulas with one click, leaving only the final data to ensure sensitive calculations aren’t copied.
2. Improving File Performance
Some historical reports contain extensive cross-sheet references and array formulas, causing long calculation times every time the file is opened. After removing the formulas, the file size shrinks, and the opening speed improves significantly—no more waiting for Excel to “freeze”!
3. Preventing Accidental Modifications
Once, a budget sheet I shared with my team was accidentally edited, causing formula errors and incorrect data. Since then, I’ve learned to use this tool to clear all formulas before final submission, ensuring data can’t be tampered with unintentionally.
4. Cross-Platform Compatibility
Some of our clients use Mac or older Excel versions, where advanced functions (like XLOOKUP) may not work. After removing formulas, the data displays correctly on all devices, avoiding #REF! errors.
How Did Datasheet Formula Remover Make This Effortless?
The biggest advantage of this tool is that it requires no installation—just load it directly from the Excel Add-ins store, and the operation is extremely simple!
1. Installing the Add-in
Open Excel (supports 2013+, Office 365, Mac, and online versions).
Click “Insert” or “Home” → “Add-ins”.
Search for “Datasheet Formula Remover” and click to add.
Once loaded, a new “Datasheet Formula Remover” tab will appear in Excel.
2. Steps to Use
Back up your file (critical! Avoid accidental errors).
Check “I have backed up my file” (to confirm you’ve saved a copy).
Select the range where formulas should be cleared (can be the entire sheet or a specific area).
Click “Go”, and instantly, all formulas convert to static values while keeping the formatting intact!
My Usage Tips
✅ Always Back Up First!
Even though the tool is stable, data is invaluable—I always save a copy of the original file before making changes.
✅ Process Large Sheets in Batches
For extremely large spreadsheets (e.g., 100,000 rows), I process them in sections to prevent Excel from freezing.
✅ Keep the Add-in Updated
I subscribe to official updates to ensure the tool stays optimized and avoids compatibility issues.
Video Guide of installing the add-in:
Conclusion
Since using Datasheet Formula Remover, I no longer worry about formula leaks, file lag, or accidental data modifications. It has saved me tons of time, making Excel data processing more efficient and secure!
If you also frequently need to remove Excel formulas while preserving formatting, I highly recommend trying this add-in—it’s incredibly convenient! 🎯
Do you have any Excel data-handling tips? Share them in the comments! 🚀
This post was originally published on 2025-04-11 at WTSolutions Blog. View the original article here.
]]><p>As a finance professional who frequently works with Excel reports, I often encounter situations where I need to remove formulas while我的Excel公式清理经验：用Excel插件高效保留计算结果，清除计算公式过程https://blog.wtsolutions.cn/Using-datasheet-formula-remover-to-protect-business-CN/2025-04-11T09:00:00.000Z2026-03-28T01:14:02.464Z作为一名经常处理Excel报表的财务人员，我常常遇到需要删除公式但保留计算结果的情况。以前，我总是手动复制粘贴为“值”，但遇到大型表格时，不仅效率低，还容易出错。直到我发现了 Datasheet Formula Remover 这个Excel插件，它让这个过程变得极其简单！今天就来分享一下我的使用经验。
自从用了 Datasheet Formula Remover，我再也不用担心公式泄露、文件卡顿或数据被误改了。它帮我节省了大量时间，让Excel数据处理变得更高效、更安全！
如果你也经常需要删除Excel公式但保留格式，强烈推荐试试这个插件，真的超级方便！🎯
你有哪些Excel数据处理的小技巧？欢迎在评论区分享！ 🚀
This post was originally published on 2025-04-11 at WTSolutions Blog. View the original article here.
]]><p>作为一名经常处理Excel报表的财务人员，我常常遇到需要删除公式但保留计算结果的情况。以前，我总是手动复制粘贴为“值”，但遇到大型表格时，不仅效率低，还容易出错。直到我发现了 <strong>Datasheet Formula Remover</strong>Datasheet Formula Remover: A Tool Focused on Excel Formula Removal to Protect Intellectual Property and Improve Work Efficiency by Batch Removing Formulas in Excel Fileshttps://blog.wtsolutions.cn/datasheet-formula-remover-v1.0.0-EN/2025-04-11T07:01:00.000Z2026-03-28T01:41:36.181ZIntroduction
Datasheet Formula Remover is a tool specifically designed for removing formulas in Excel files. It helps users protect their intellectual property while improving work efficiency. Datasheet Formula Remover is an Excel add-in available through the Microsoft Add-in Store - simply search for “Datasheet Formula Remover” to load and use it, with no download or installation required.
Why Remove Excel Formulas?
In real-world scenarios, there are many situations where you need to remove formulas from Excel files while keeping only the calculated results. Here are some typical use cases:
1. Protect Intellectual Property
When sharing Excel files with external parties, you may not want them to see your calculation formulas:
Protect company calculation models and business logic
Prevent others from copying or modifying your calculation methods
Safeguard sensitive information like pricing strategies and cost calculations
2. Simplify File Sharing
Removing formulas can make file usage more convenient in these situations:
When providing quotations or invoices to clients, showing only final amounts
When sharing financial reports, displaying only calculation results
When providing statistical reports, ensuring data cannot be accidentally modified
3. Improve File Performance
Removing formulas offers these benefits:
Reduce file size for easier transmission and storage
Improve Excel file opening and saving speed
Lower the risk of calculation errors due to accidental formula modifications
4. Data Archiving and Storage
Removing formulas is essential when archiving data:
Ensure stability and reliability of historical data
Simplify data migration and backup processes
Reduce storage space usage
5. Cross-Platform Compatibility
Removing formulas can improve file compatibility:
Avoid formula compatibility issues between different Excel versions
Ensure consistent results across different devices
Facilitate importing into other data processing systems
How to Get the Tool
Open Excel
Open Excel 2013/2016 or later versions
Supports Excel Online, Office 365, Mac, etc.
Install the Add-in
Click the “Insert” or “Home” tab
Find and click the “Add-ins” button
Type “Datasheet Formula Remover” in the add-in search box
Click the add-in to load it
After loading, a new tab “Datasheet Formula Remover” will appear in Excel
Navigate to this tab and click the Launch button
How to Use
First, backup your current Excel document. Before removing formulas, ensure you have backed up the original file to prevent data loss from accidental operations.
Check the “I have backed up my file” box
Select the area where you want to remove formulas
Click the “Go” button to quickly remove all formulas in the selected area
Video guide of loading the add-in
Usage Tips
Backup Original Files
Always save a backup of the original file before removing formulas
Consider using a file version control system for managing important documents
Process Large Files in Batches
For large datasets, consider processing by sections
Check the accuracy of results after each operation
Regular Tool Updates
Update to the latest version regularly for performance and security improvements
Follow official announcements for new features and usage tips
This post was originally published on 2025-04-11 at WTSolutions Blog. View the original article here.
]]><h2 id="Introduction"><a href="#Introduction" class="headerlink" title="Introduction"></a>Introduction</h2><p>Datasheet Formula Remover isDatasheet Formula Remover，一个专注于解决Excel公式删除需求的工具帮助用户在保护知识产权。批量删除Excel文件中的公式，提高工作效率https://blog.wtsolutions.cn/Datasheet-formula-remover-v1.0.0-CN/2025-04-11T07:00:00.000Z2026-03-28T01:41:29.360Z介绍
Datasheet Formula Remover 是一款专为Excel文件删除公式而设计的工具。它能够帮助用户在保护知识产权的同时，提高工作效率。Datasheet Formula Remover 是一个 Excel 的插件，通过微软的插件商店上架，大家在插件商店中搜索 Datasheet Formula Remover 即可加载使用，不需要下载安装。
为什么需要删除Excel公式？
在实际工作中，有很多场景需要删除Excel文件中的公式，只保留计算结果。以下是一些典型应用场景：
1. 保护知识产权
当你需要与外部人员分享Excel文件时，可能不希望对方看到你的计算公式：
保护公司的计算模型和业务逻辑
防止他人复制或修改你的计算方法
保护定价策略、成本计算等敏感信息
2. 简化文件共享
在以下情况下，删除公式可以让文件使用更加便捷：
向客户提供报价单或账单时，只需要显示最终金额
分享财务报表时，只需要展示计算结果
提供数据统计报告时，确保数据不会被意外修改
3. 提高文件性能
删除公式可以带来以下好处：
减小文件体积，便于传输和存储
提高Excel文件打开和保存的速度
降低意外修改公式导致计算错误的风险
4. 数据归档和存档
在进行数据归档时，删除公式很有必要：
确保历史数据的稳定性和可靠性
简化数据迁移和备份流程
减少存储空间的占用
5. 跨平台兼容性
删除公式可以提高文件的兼容性：
避免不同Excel版本之间的公式兼容问题
确保在不同设备上显示一致的结果
方便导入其他数据处理系统
工具获取视频演示
如何获取工具
打开Excel
打开Excel 2013/2016或更高版本
支持Excel Online或Office 365， Mac 等
安装插件
点击”插入”或”开始”选项卡
找到并点击”加载项”按钮，或者 “add-ins”按钮
在加载项搜索框中输入”Datasheet Formula Remover”
点击插件进行加载
加载完成之后，Excel 中会多出一个选项卡 “Datasheet Formula Remover”
到达这个选项卡，然后点击Launch按钮。
使用方法
首先备份当前 Excel文档，在删除公式之前，请确保您已经备份了原始文件，以免误操作导致数据丢失。
勾选 I have backed up my file
选择要删除公式的区域
点击“Go”按钮，快速删除所选区域内的所有公式
使用建议
备份原始文件
在删除公式前，务必保存一份原始文件的备份
建议使用文件版本控制系统管理重要文档
分批处理大型文件
对于大型数据表，建议分区域进行处理
每次操作后检查结果的准确性
定期更新工具
及时更新到最新版本以获得性能和安全性改进
关注官方公告了解新功能和使用技巧
This post was originally published on 2025-04-11 at WTSolutions Blog. View the original article here.
]]><h2 id="介绍"><a href="#介绍" class="headerlink" title="介绍"></a>介绍</h2><p>Datasheet Formula Remover国际项目投标那些事(十五) 海外项目投标到底是商务重要，投标重要还是产品重要？https://blog.wtsolutions.cn/overseas-bidding-stories-15/2025-04-11T03:00:00.000Z2026-03-28T01:27:58.667Z欢迎加微信WTTranslate，进群参与国际项目交流讨论。 海外投标系列文章目录：https://blog.wtsolutions.cn/categories/overseas-bidding-stories/
This post was originally published on 2025-04-01 at WTSolutions Blog. View the original article here.
]]><p>欢迎加微信WTTranslate，进群参与国际项目交流讨论。<br>海外投标系列文章目录：<aExcel-to-JSON 2.1.0 Your Privacy-First Excel Add-in for JSON Conversionhttps://blog.wtsolutions.cn/convert-excel-to-json-within-excel-v210/2025-03-30T02:25:06.000Z2026-03-28T01:41:04.256ZIntroduction
Excel-to-JSON is a powerful Microsoft Excel add-in that seamlessly converts Excel data into JSON format. Version 2.1.0 brings enhanced features while maintaining our commitment to data privacy and cross-platform accessibility.
Zero-Installation, Instant Access
One of the most compelling features of Excel-to-JSON is its seamless integration with Microsoft Excel. There’s:
No download required
No installation needed
Direct access through Microsoft Excel
Available directly from Microsoft AppSource
Simply open Excel, search for “Excel-to-JSON” in the Add-ins section, and you’re ready to go!
Cross-Platform Compatibility
Excel-to-JSON works flawlessly across multiple platforms:
Windows (Excel 2013 or higher)
macOS
Excel Online
Office 365
Web browsers
Core Features
1. Conversion Modes
Flat JSON Mode: Direct conversion of Excel data to simple JSON structure
Nested JSON Mode: Creates hierarchical JSON using dot notation
Supports delimiter-based nesting (default: “.”)
Automatic key structure recognition
2. Data Processing
First row automatically treated as headers
Line breaks in Excel cells preserved as \n
Multiple export options:
Copy and paste functionality
Direct clipboard copy (Windows)
Privacy-First Approach
We take your data privacy seriously. Excel-to-JSON operates with:
100% local processing
No Excel data transmission to external servers
All conversions performed within your Excel environment
Pro Features
For users requiring advanced functionality, our Pro subscription offers:
This simple example demonstrates how Excel-to-JSON can transform tabular data into structured JSON with nested objects, making it perfect for API integration and data exchange.
Video Guide of loading the add-in
Video Demonstration
Conclusion
Excel-to-JSON 2.1.0 continues to provide a secure, efficient, and user-friendly solution for Excel-to-JSON conversion needs. With its privacy-first approach, cross-platform compatibility, and zero-installation requirement, it’s the ideal tool for developers, data analysts, and business professionals working with Excel data.
Visit our documentation for detailed information and start converting your Excel data to JSON today!
This post was originally published on 2025-03-30 at WTSolutions Blog. View the original article here.
We are excited to announce the official release of RGBA Pixel Extractor Tool v1.0.0! This online tool helps you easily extract RGBA values of each pixel from images and export them as CSV files.
Key Features
Supports common image formats like JPG, PNG
Quickly extracts RGBA values of each pixel
Supports multiple output formats: RGBA, hexadecimal and numeric values
RGBA(r,g,b,a) format
Hexadecimal #RRGGBBAA format
Plain numbers comma separated r,g,b,a format
One-click export to CSV for data analysis
Runs completely in browser - no server upload needed, protecting your privacy
The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives: OpenAI 智能代理 SDK 使您能够使用极少的抽象，在轻量级、易于使用的包中构建智能代理应用程序。它是我们之前针对代理的实验 Swarm 的生产级升级。代理 SDK 具有非常小的一组原语：
Agents, which are LLMs equipped with instructions and tools 代理，它们配备了指令和工具
Handoffs, which allow agents to delegate to other agents for specific tasks 传递，允许代理将特定任务委托给其他代理
Guardrails, which enable the inputs to agents to be validated 保障措施，可以验证代理的输入
In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, as well as evaluate them and even fine-tune models for your application. 结合 Python，这些原语足够强大，可以表达工具和代理之间的复杂关系，并允许您在没有陡峭的学习曲线的情况下构建实际应用。此外，SDK 还包含内置跟踪功能，可以让您可视化和调试代理流程，甚至评估和微调模型以适应您的应用。
Why use the Agents SDK 为什么使用代理 SDK
The SDK has two driving design principles: SDK 有两个驱动设计原则：
Enough features to be worth using, but few enough primitives to make it quick to learn. 功能足够丰富以值得使用，但基础元素足够少以便快速学习。
Works great out of the box, but you can customize exactly what happens. 开箱即用效果极佳，但你可以完全自定义具体操作。
Here are the main features of the SDK: 这是 SDK 的主要功能：
Agent loop: Built-in agent loop that handles calling tools, sending results to the LLM, and looping until the LLM is done. 代理循环：内置代理循环处理调用工具、将结果发送到LLM以及在LLM完成之前循环执行。
Python-first: Use built-in language features to orchestrate and chain agents, rather than needing to learn new abstractions. Python 优先：使用内置的语言特性来协调和链接代理，而不是需要学习新的抽象概念。
Handoffs: A powerful feature to coordinate and delegate between multiple agents. 手动交接：一个强大的功能，用于协调和委托给多个代理。
Guardrails: Run input validations and checks in parallel to your agents, breaking early if the checks fail. 护栏：在运行输入验证和检查的同时，如果检查失败则提前中断。
Function tools: Turn any Python function into a tool, with automatic schema generation and Pydantic-powered validation. 函数工具：将任何 Python 函数转换为工具，并自动生成模式并使用 Pydantic 进行验证。
Tracing: Built-in tracing that lets you visualize, debug and monitor your workflows, as well as use the OpenAI suite of evaluation, fine-tuning and distillation tools. Tracing: 内置跟踪功能，让您能够可视化、调试和监控工作流，同时还可以使用 OpenAI 套件中的评估、微调和精简工具。
Installation 安装
1 2
pip install openai-agents
Hello world example Hello world 示例
1 2 3 4 5 6 7 8 9 10 11
from agents import Agent, Runner agent = Agent(name="Assistant", instructions="You are a helpful assistant") result = Runner.run_sync(agent, "Write a haiku about recursion in programming.") print(result.final_output) # Code within the code, # Functions calling themselves, # Infinite loop's dance.
(If running this, ensure you set the OPENAI_API_KEY environment variable) (如果运行此代码，请确保设置 OPENAI_API_KEY 环境变量)
1 2
export OPENAI_API_KEY=sk-...
Quickstart 快速开始
Create a project and virtual environment 创建一个项目和虚拟环境
You'll only need to do this once. 你只需要这样做一次。
1 2 3 4
mkdir my_project cd my_project python -m venv .venv
Activate the virtual environment 激活虚拟环境
Do this every time you start a new terminal session. 每次启动新的终端会话时都执行此操作。
1 2
source .venv/bin/activate
Install the Agents SDK 安装代理 SDK
1 2
pip install openai-agents # or `uv add openai-agents`, etc
Set an OpenAI API key 设置 OpenAI API 密钥
If you don't have one, follow these instructions to create an OpenAI API key. 如果没有，请按照这些步骤创建一个 OpenAI API 密钥。
1 2
export OPENAI_API_KEY=sk-...
Create your first agent 创建您的第一个代理
Agents are defined with instructions, a name, and optional config (such as model_config) 代理通过指令、名称和可选配置（如 model_config ）来定义。
1 2 3 4 5 6 7
from agents import Agent agent = Agent( name="Math Tutor", instructions="You provide help with math problems. Explain your reasoning at each step and include examples", )
Add a few more agents 添加几个更多的代理
Additional agents can be defined in the same way. handoff_descriptions provide additional context for determining handoff routing 附加代理可以同样定义。 handoff_descriptions 为确定转交路由提供额外上下文
1 2 3 4 5 6 7 8 9 10 11 12 13 14
from agents import Agent history_tutor_agent = Agent( name="History Tutor", handoff_description="Specialist agent for historical questions", instructions="You provide assistance with historical queries. Explain important events and context clearly.", ) math_tutor_agent = Agent( name="Math Tutor", handoff_description="Specialist agent for math questions", instructions="You provide help with math problems. Explain your reasoning at each step and include examples", )
Define your handoffs 定义您的交接内容
On each agent, you can define an inventory of outgoing handoff options that the agent can choose from to decide how to make progress on their task. 在每个代理上，您可以定义一组可供代理选择的传出转交选项，以决定如何推进其任务。
1 2 3 4 5 6
triage_agent = Agent( name="Triage Agent", instructions="You determine which agent to use based on the user's homework question", handoffs=[history_tutor_agent, math_tutor_agent] )
Run the agent orchestration 运行代理编排
Let's check that the workflow runs and the triage agent correctly routes between the two specialist agents. 让我们检查工作流是否运行以及分诊代理是否正确将任务路由到两个专家代理。
1 2 3 4 5 6
from agents import Runner asyncdefmain(): result = await Runner.run(triage_agent, "What is the capital of France?") print(result.final_output)
Add a guardrail 添加一个防撞栏
You can define custom guardrails to run on the input or output. 你可以定义在输入或输出上运行的自定义护栏。
from agents import Agent, InputGuardrail,GuardrailFunctionOutput, Runner from pydantic import BaseModel import asyncio classHomeworkOutput(BaseModel): is_homework: bool reasoning: str guardrail_agent = Agent( name="Guardrail check", instructions="Check if the user is asking about homework.", output_type=HomeworkOutput, ) math_tutor_agent = Agent( name="Math Tutor", handoff_description="Specialist agent for math questions", instructions="You provide help with math problems. Explain your reasoning at each step and include examples", ) history_tutor_agent = Agent( name="History Tutor", handoff_description="Specialist agent for historical questions", instructions="You provide assistance with historical queries. Explain important events and context clearly.", ) asyncdefhomework_guardrail(ctx, agent, input_data): result = await Runner.run(guardrail_agent, input_data, context=ctx.context) final_output = result.final_output_as(HomeworkOutput) return GuardrailFunctionOutput( output_info=final_output, tripwire_triggered=not final_output.is_homework, ) triage_agent = Agent( name="Triage Agent", instructions="You determine which agent to use based on the user's homework question", handoffs=[history_tutor_agent, math_tutor_agent], input_guardrails=[ InputGuardrail(guardrail_function=homework_guardrail), ], ) asyncdefmain(): result = await Runner.run(triage_agent, "who was the first president of the united states?") print(result.final_output) result = await Runner.run(triage_agent, "what is life") print(result.final_output) if __name__ == "__main__": asyncio.run(main())
View your traces 查看您的跟踪
To review what happened during your agent run, navigate to the Trace viewer in the OpenAI Dashboard to view traces of your agent runs. 为了回顾您的智能体运行期间发生了什么，请导航到 OpenAI 控制台中的跟踪查看器以查看智能体运行的跟踪。
Agents 代理
Agents are the core building block in your apps. An agent is a large language model (LLM), configured with instructions and tools. 代理是您应用程序中的核心构建块。代理是一个大型语言模型（LLM），配置有指令和工具。
Basic configuration 基本配置
The most common properties of an agent you'll configure are: 你将配置的代理最常见的属性是：
instructions: also known as a developer message or system prompt. instructions ：也被称为开发人员消息或系统提示。
model: which LLM to use, and optional model_settings to configure model tuning parameters like temperature, top_p, etc. model ：选择LLM，以及可选的 model_settings 来配置模型调优参数，如温度、top_p 等。
tools: Tools that the agent can use to achieve its tasks. tools : 代理人可以使用的工具以完成其任务。
1 2 3 4 5 6 7 8 9 10 11 12 13
from agents import Agent, ModelSettings, function_tool @function_tool defget_weather(city: str) -> str: returnf"The weather in is sunny" agent = Agent( name="Haiku agent", instructions="Always respond in haiku form", model="o3-mini", tools=[get_weather], )
Context 上下文
Agents are generic on their context type. Context is a dependency-injection tool: it's an object you create and pass to Runner.run(), that is passed to every agent, tool, handoff etc, and it serves as a grab bag of dependencies and state for the agent run. You can provide any Python object as the context. 代理对其 context 类型是通用的。Context 是一个依赖注入工具：它是一个你创建并传递给 Runner.run() 的对象，该对象会传递给每一个代理、工具、转交等，并作为代理运行时依赖和状态的集合。你可以提供任何 Python 对象作为 Context。
By default, agents produce plain text (i.e. str) outputs. If you want the agent to produce a particular type of output, you can use the output_type parameter. A common choice is to use Pydantic objects, but we support any type that can be wrapped in a Pydantic TypeAdapter - dataclasses, lists, TypedDict, etc. 默认情况下，代理生成的是纯文本（即 str ）输出。如果您希望代理生成特定类型的输出，可以使用 output_type 参数。常见的选择是使用 Pydantic 对象，但我们支持任何可以被包装在 Pydantic TypeAdapter 中的类型——数据类、列表、TypedDict 等。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
from pydantic import BaseModel from agents import Agent classCalendarEvent(BaseModel): name: str date: str participants: list[str] agent = Agent( name="Calendar extractor", instructions="Extract calendar events from text", output_type=CalendarEvent, )
Note 注意
When you pass an output_type, that tells the model to use structured outputs instead of regular plain text responses. 当您传递一个 output_type 时，这告诉模型使用结构化输出而不是常规的纯文本响应。
Handoffs 手递手
Handoffs are sub-agents that the agent can delegate to. You provide a list of handoffs, and the agent can choose to delegate to them if relevant. This is a powerful pattern that allows orchestrating modular, specialized agents that excel at a single task. Read more in the documentation. 手递手操作是代理可以委派的子代理。您提供一个手递手操作列表，如果相关，代理可以选择委派给他们。这是一个强大的模式，允许协调模块化、专业化的代理，这些代理在单一任务上表现出色。更多详情请参阅手递手操作文档。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
from agents import Agent booking_agent = Agent(...) refund_agent = Agent(...) triage_agent = Agent( name="Triage agent", instructions=( "Help the user with their questions." "If they ask about booking, handoff to the booking agent." "If they ask about refunds, handoff to the refund agent." ), handoffs=[booking_agent, refund_agent], )
Dynamic instructions 动态指令
In most cases, you can provide instructions when you create the agent. However, you can also provide dynamic instructions via a function. The function will receive the agent and context, and must return the prompt. Both regular and async functions are accepted. 在大多数情况下，您可以在创建代理时提供指令。但是，您也可以通过一个函数提供动态指令。该函数将接收代理和上下文，并必须返回提示。常规函数和 async 函数都接受。
1 2 3 4 5 6 7 8 9 10 11
defdynamic_instructions( context: RunContextWrapper[UserContext], agent: Agent[UserContext] ) -> str: returnf"The user's name is . Help them with their questions."
Sometimes, you want to observe the lifecycle of an agent. For example, you may want to log events, or pre-fetch data when certain events occur. You can hook into the agent lifecycle with the hooks property. Subclass the class, and override the methods you're interested in. 有时，您希望观察代理的生命周期。例如，您可能希望记录事件，或者在某些事件发生时预取数据。您可以使用 hooks 属性钩入代理生命周期。从 AgentHooks 类派生，并覆盖您感兴趣的任何方法。
Guardrails 守护措施
Guardrails allow you to run checks/validations on user input, in parallel to the agent running. For example, you could screen the user's input for relevance. Read more in the documentation. 限制措施允许您在代理运行的同时对用户输入进行检查/验证。例如，您可以筛选用户输入的相关性。有关更多信息，请参阅限制措施文档。
Cloning/copying agents 克隆/复制代理
By using the clone() method on an agent, you can duplicate an Agent, and optionally change any properties you like. 通过在代理上使用 clone() 方法，您可以复制一个代理，并可选地更改任何属性。
1 2 3 4 5 6 7 8 9 10 11
pirate_agent = Agent( name="Pirate", instructions="Write like a pirate", model="o3-mini", )
robot_agent = pirate_agent.clone( name="Robot", instructions="Write like a robot", )
Running agents 运行代理
You can run agents via the class. You have 3 options: 您可以通过 Runner 类来运行代理。您有 3 种选择：
Runner.run(), which runs async and returns a RunResult. Runner.run() ，这会异步运行并返回一个 RunResult 。
Runner.run_sync(), which is a sync method and just runs .run() under the hood. Runner.run_sync() ，这是一个同步方法，只是在后台运行 .run() 。
Runner.run_streamed(), which runs async and returns a RunResultStreaming. It calls the LLM in streaming mode, and streams those events to you as they are received. Runner.run_streamed() ，这是一个异步方法并返回一个 RunResultStreaming 。它以流式模式调用LLM，并将接收到的事件实时流式传输给您。
1 2 3 4 5 6 7 8 9 10 11
from agents import Agent, Runner asyncdefmain(): agent = Agent(name="Assistant", instructions="You are a helpful assistant")
result = await Runner.run(agent, "Write a haiku about recursion in programming.") print(result.final_output) # Code within the code, # Functions calling themselves, # Infinite loop's dance.
When you use the run method in Runner, you pass in a starting agent and input. The input can either be a string (which is considered a user message), or a list of input items, which are the items in the OpenAI Responses API. 当你在 Runner 中使用 run 方法时，你需要传入一个起始代理和输入。输入可以是一个字符串（被视为用户消息），或者是一个输入项列表，这些项是 OpenAI Responses API 中的项目。
The runner then runs a loop: 然后运行器运行一个循环：
We call the LLM for the current agent, with the current input. 当前代理调用LLM，并带上当前输入。
The LLM produces its output. LLM生成其输出。
If the LLM returns a final_output, the loop ends and we return the result. 如果LLM返回一个 final_output ，则循环结束并返回结果。
If the LLM does a handoff, we update the current agent and input, and re-run the loop. 如果LLM进行转接，我们将更新当前坐席和输入，并重新运行循环。
If the LLM produces tool calls, we run those tool calls, append the results, and re-run the loop. 如果LLM生成了工具调用，我们将运行这些工具调用，追加结果，并重新运行循环。
If we exceed the max_turns passed, we raise a MaxTurnsExceeded exception. 如果超过 max_turns 传递的次数，我们将抛出一个 MaxTurnsExceeded 异常。
Note 注意
The rule for whether the LLM output is considered as a "final output" is that it produces text output with the desired type, and there are no tool calls. LLM 输出被视为”最终输出”的规则是它生成了所需类型的文字输出，并且没有调用工具。
Streaming 流式传输
Streaming allows you to additionally receive streaming events as the LLM runs. Once the stream is done, the RunResultStreaming will contain the complete information about the run, including all the new outputs produces. You can call .stream_events() for the streaming events. Read more in the streaming guide. 流式传输允许你在 LLM 运行时额外接收流式事件。一旦流式传输结束， RunResultStreaming 将包含关于运行的完整信息，包括所有新生成的输出。你可以调用 .stream_events() 获取流式事件。更多详情请参阅流式传输指南。
Run config 运行配置
The run_config parameter lets you configure some global settings for the agent run: run_config 参数允许您为代理运行配置一些全局设置：
model: Allows setting a global LLM model to use, irrespective of what model each Agent has. model ：允许设置一个全局的LLM 模型，无论每个代理使用什么 model 。
model_provider: A model provider for looking up model names, which defaults to OpenAI. model_provider ：用于查找模型名称的模型提供者，默认为 OpenAI。
model_settings: Overrides agent-specific settings. For example, you can set a global temperature or top_p. model_settings : 覆盖特定代理的设置。例如，你可以设置一个全局 temperature 或 top_p 。
input_guardrails, output_guardrails: A list of input or output guardrails to include on all runs. input_guardrails , output_guardrails : 包含在所有运行中的输入或输出护栏列表。
handoff_input_filter: A global input filter to apply to all handoffs, if the handoff doesn't already have one. The input filter allows you to edit the inputs that are sent to the new agent. See the documentation in Handoff.input_filter for more details. handoff_input_filter : 如果代理转交没有自己的输入过滤器，则应用于所有转交的全局输入过滤器。输入过滤器允许你编辑发送到新代理的输入。有关详细信息，请参阅 Handoff.input_filter 中的文档。
tracing_disabled: Allows you to disable tracing for the entire run. tracing_disabled : 允许你禁用整个运行过程中的跟踪。
trace_include_sensitive_data: Configures whether traces will include potentially sensitive data, such as LLM and tool call inputs/outputs. trace_include_sensitive_data : 配置跟踪是否包含可能敏感的数据，例如LLM 和工具调用的输入/输出。
workflow_name, trace_id, group_id: Sets the tracing workflow name, trace ID and trace group ID for the run. We recommend at least setting workflow_name. The session ID is an optional field that lets you link traces across multiple runs. workflow_name , trace_id , group_id : 设置运行的跟踪工作流名称、跟踪 ID 和跟踪组 ID。我们建议至少设置 workflow_name 。会话 ID 是一个可选字段，可以让你在多个运行之间链接跟踪。
trace_metadata: Metadata to include on all traces. trace_metadata : 在所有跟踪中包含的元数据。
Conversations/chat threads 对话/聊天线程
Calling any of the run methods can result in one or more agents running (and hence one or more LLM calls), but it represents a single logical turn in a chat conversation. For example: 调用任何运行方法可能会导致一个或多个代理运行（因此可能会导致一个或多个LLM调用），但这代表聊天对话中的一个单一逻辑回合。例如：
User turn: user enter text 用户回合: user enter text
Runner run: first agent calls LLM, runs tools, does a handoff to a second agent, second agent runs more tools, and then produces an output. 运行代理：第一个代理调用LLM，运行工具，然后将工作转交给第二个代理，第二个代理运行更多工具，最后生成输出。
At the end of the agent run, you can choose what to show to the user. For example, you might show the user every new item generated by the agents, or just the final output. Either way, the user might then ask a followup question, in which case you can call the run method again. 在代理运行结束时，您可以选择向用户展示什么内容。例如，您可以向用户展示代理生成的每个新项目，或者只展示最终输出。无论哪种方式，用户可能会提出后续问题，这时您可以再次调用运行方法。
You can use the base RunResultBase.to_input_list() method to get the inputs for the next turn. 您可以使用基础 RunResultBase.to_input_list() 方法获取下一次轮次的输入。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
asyncdefmain(): agent = Agent(name="Assistant", instructions="Reply very concisely.")
with trace(workflow_name="Conversation", group_id=thread_id): # First turn result = await Runner.run(agent, "What city is the Golden Gate Bridge in?") print(result.final_output) # San Francisco
# Second turn new_input = result.to_input_list() + [] result = await Runner.run(agent, new_input) print(result.final_output) # California
Exceptions 异常
The SDK raises exceptions in certain cases. The full list is in agents.exceptions. As an overview: 该 SDK 在某些情况下会抛出异常。完整的列表在 agents.exceptions 中。总体来说：
AgentsException is the base class for all exceptions raised in the SDK. AgentsException 是 SDK 中所有抛出的异常的基类。
MaxTurnsExceeded is raised when the run exceeds the max_turns passed to the run methods. 当运行超出 max_turns 中传递给 run 方法的值时，会抛出 MaxTurnsExceeded 。
ModelBehaviorError is raised when the model produces invalid outputs, e.g. malformed JSON or using non-existent tools. ModelBehaviorError 是当模型产生无效输出时抛出的，例如生成格式错误的 JSON 或使用不存在的工具。
UserError is raised when you (the person writing code using the SDK) make an error using the SDK. UserError 是当您（使用 SDK 编写代码的人）使用 SDK 时发生错误时抛出的。
When you call the Runner.run methods, you either get a: 调用 Runner.run 方法时，您会得到一个：
RunResult if you call run or run_sync RunResult 如果您调用 run 或 run_sync
RunResultStreaming if you call run_streamed RunResultStreaming 如果你调用 run_streamed
Both of these inherit from RunResultBase, which is where most useful information is present. 这两个都继承自 RunResultBase ，大多数有用的信息都在这里。
Final output 最终输出
The final_output property contains the final output of the last agent that ran. This is either: final_output 属性包含最后一个运行的代理的最终输出。这可能是：
a str, if the last agent didn't have an output_type defined str ，如果最后一个代理没有定义 output_type
an object of type last_agent.output_type, if the agent had an output type defined. 类型为 last_agent.output_type 的对象，如果代理定义了输出类型。
Note 注意
final_output is of type Any. We can't statically type this, because of handoffs. If handoffs occur, that means any Agent might be the last agent, so we don't statically know the set of possible output types. final_output 是 Any 类型。我们无法静态类型化这一点，因为存在手递。如果发生手递，这意味着任何代理都可能是最后一个代理，所以我们无法静态知道可能的输出类型集合。
Inputs for the next turn 下一次轮次的输入
You can use result.to_input_list() to turn the result into an input list that concatenates the original input you provided, to the items generated during the agent run. This makes it convenient to take the outputs of one agent run and pass them into another run, or to run it in a loop and append new user inputs each time. 你可以使用 result.to_input_list() 将结果转换为一个输入列表，该列表将你提供的原始输入与代理运行期间生成的项连接起来。这使得可以方便地将一个代理运行的输出传递给另一个运行，或者在循环中运行并每次追加新的用户输入。
Last agent 最后一个代理
The last_agent property contains the last agent that ran. Depending on your application, this is often useful for the next time the user inputs something. For example, if you have a frontline triage agent that hands off to a language-specific agent, you can store the last agent, and re-use it the next time the user messages the agent. last_agent 属性包含最近运行的代理。根据您的应用程序，这在用户下次输入时通常很有用。例如，如果您有一个前线分诊代理，将转交给特定语言的代理，您可以存储最后一个代理，并在用户下次与代理通信时重用它。
New items 新项目
The new_items property contains the new items generated during the run. The items are RunItems. A run item wraps the raw item generated by the LLM. new_items 属性包含运行期间生成的新项目。项目是 RunItem 。运行项目包装了由LLM生成的原始项目。
MessageOutputItem indicates a message from the LLM. The raw item is the message generated. MessageOutputItem 表示来自 LLM 的消息。原始项是生成的消息。
HandoffCallItem indicates that the LLM called the handoff tool. The raw item is the tool call item from the LLM. HandoffCallItem 表示 LLM 调用了转接工具。原始项是从 LLM 获取的转接工具调用项。
HandoffOutputItem indicates that a handoff occurred. The raw item is the tool response to the handoff tool call. You can also access the source/target agents from the item. HandoffOutputItem 表示发生了转接。原始项是转接工具调用的响应。您还可以从项中访问源/目标代理。
ToolCallItem indicates that the LLM invoked a tool. ToolCallItem 表示 LLM 调用了工具。
ToolCallOutputItem indicates that a tool was called. The raw item is the tool response. You can also access the tool output from the item. ToolCallOutputItem 表示调用了一个工具。原始项是工具的响应。你也可以从项中访问工具输出。
ReasoningItem indicates a reasoning item from the LLM. The raw item is the reasoning generated. ReasoningItem 表示 LLM 的推理项。原始项是生成的推理。
Other information 其他信息
Guardrail results 护栏结果
The input_guardrail_results and output_guardrail_results properties contain the results of the guardrails, if any. Guardrail results can sometimes contain useful information you want to log or store, so we make these available to you. input_guardrail_results 和 output_guardrail_results 属性包含防护栏的结果（如果有）。防护栏结果有时包含您想要记录或存储的有用信息，因此我们把这些信息提供给您。
Raw responses 原始响应
The raw_responses property contains the ModelResponse generated by the LLM. The raw_responses 属性包含由 LLM 生成的 ModelResponse 。
Original input
The input property contains the original input you provided to the run method. In most cases you won't need this, but it's available in case you do. input 属性包含您提供的原始输入。在大多数情况下您不需要这个属性，但在需要时它是可用的。 run
Streaming 流式传输
Streaming lets you subscribe to updates of the agent run as it proceeds. This can be useful for showing the end-user progress updates and partial responses. 实时流让你可以订阅代理运行过程中产生的更新。这对于向最终用户显示进度更新和部分响应非常有用。
To stream, you can call Runner.run_streamed(), which will give you a RunResultStreaming. Calling result.stream_events() gives you an async stream of StreamEvent objects, which are described below. 要实现流式传输，可以调用 Runner.run_streamed() ，这将给你一个 RunResultStreaming 。调用 result.stream_events() 会给你一个异步流式的 StreamEvent 对象，其描述如下。
Raw response events 原始响应事件
RawResponsesStreamEvent are raw events passed directly from the LLM. They are in OpenAI Responses API format, which means each event has a type (like response.created, response.output_text.delta, etc) and data. These events are useful if you want to stream response messages to the user as soon as they are generated. RawResponsesStreamEvent 是直接从LLM获取的原始事件。它们遵循 OpenAI Responses API 格式，这意味着每个事件都有一个类型（如 response.created ， response.output_text.delta 等）和数据。这些事件在您希望尽快向用户输出生成的消息时非常有用。
For example, this will output the text generated by the LLM token-by-token. 例如，这将逐个输出LLM生成的文本。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
import asyncio from openai.types.responses import ResponseTextDeltaEvent from agents import Agent, Runner
asyncdefmain(): agent = Agent( name="Joker", instructions="You are a helpful assistant.", )
result = Runner.run_streamed(agent, input="Please tell me 5 jokes.") asyncfor event in result.stream_events(): if event.type == "raw_response_event"andisinstance(event.data, ResponseTextDeltaEvent): print(event.data.delta, end="", flush=True)
if __name__ == "__main__": asyncio.run(main())
Run item events and agent events 运行项目事件和代理事件
RunItemStreamEvent are higher level events. They inform you when an item has been fully generated. This allows you to push progress updates at the level of "message generated", "tool ran", etc, instead of each token. Similarly, AgentUpdatedStreamEvent gives you updates when the current agent changes (e.g. as the result of a handoff). RunItemStreamEvent 是更高层次的事件。它们告诉您项目已完全生成。这允许您在”消息生成”、”工具运行”等层面推送进度更新，而不是每个标记。同样， AgentUpdatedStreamEvent 在当前代理发生变化时（例如，作为移交的结果）为您提供更新。
For example, this will ignore raw events and stream updates to the user. 例如，这将忽略原始事件并将更新流式传输给用户。
asyncdefmain(): agent = Agent( name="Joker", instructions="First call the `how_many_jokes` tool, then tell that many jokes.", tools=[how_many_jokes], )
result = Runner.run_streamed( agent, input="Hello", ) print("=== Run starting ===")
asyncfor event in result.stream_events(): # We'll ignore the raw responses event deltas if event.type == "raw_response_event": continue # When the agent updates, print that elif event.type == "agent_updated_stream_event": print(f"Agent updated: ") continue # When items are generated, print them elif event.type == "run_item_stream_event": if event.item.type == "tool_call_item": print("-- Tool was called") elif event.item.type == "tool_call_output_item": print(f"-- Tool output: ") elif event.item.type == "message_output_item": print(f"-- Message output:\n ") else: pass# Ignore other event types
print("=== Run complete ===")
if __name__ == "__main__": asyncio.run(main())
Tools 工具
Tools let agents take actions: things like fetching data, running code, calling external APIs, and even using a computer. There are three classes of tools in the Agent SDK: 工具可以让代理执行操作：比如获取数据、运行代码、调用外部 API，甚至使用计算机。代理 SDK 中有三类工具：
Hosted tools: these run on LLM servers alongside the AI models. OpenAI offers retrieval, web search and computer use as hosted tools. 托管工具：这些工具在LLM服务器上与 AI 模型一同运行。OpenAI 提供了检索、网络搜索和计算机使用作为托管工具。
Function calling: these allow you to use any Python function as a tool. 函数调用：这些允许您使用任何 Python 函数作为工具。
Agents as tools: this allows you to use an agent as a tool, allowing Agents to call other agents without handing off to them. 作为工具的代理：这允许你将代理作为工具使用，使代理能够调用其他代理而无需将其转交给其他代理。
Hosted tools 托管工具
OpenAI offers a few built-in tools when using the OpenAIResponsesModel{.autorefs .autorefs-internal}: 使用 OpenAIResponsesModel 时，OpenAI 提供了几种内置工具。
The WebSearchTool lets an agent search the web. The WebSearchTool 让智能体搜索网络。
The FileSearchTool allows retrieving information from your OpenAI Vector Stores. The FileSearchTool 允许从您的 OpenAI 向量存储中检索信息。
The ComputerTool allows automating computer use tasks. The ComputerTool 允许自动化计算机使用任务。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
from agents import Agent, FileSearchTool, Runner, WebSearchTool
asyncdefmain(): result = await Runner.run(agent, "Which coffee shop should I go to, taking into account my preferences and the weather today in SF?") print(result.final_output)
Function tools 功能工具
You can use any Python function as a tool. The Agents SDK will setup the tool automatically: 你可以使用任何 Python 函数作为工具。Agents SDK 会自动设置该工具：
The name of the tool will be the name of the Python function (or you can provide a name) 工具的名称将是 Python 函数的名称（或者你可以提供一个名称）
Tool description will be taken from the docstring of the function (or you can provide a description) 工具描述将从函数的文档字符串中获取（或者你可以提供描述）
The schema for the function inputs is automatically created from the function's arguments 函数输入的模式会自动从函数的参数创建
Descriptions for each input are taken from the docstring of the function, unless disabled 每个输入的描述会从函数的文档字符串中获取，除非禁用
We use Python's inspect module to extract the function signature, along with griffe to parse docstrings and pydantic for schema creation. 我们使用 Python 的 inspect 模块来提取函数签名，使用 griffe 来解析文档字符串，并使用 pydantic 来创建模式。
from agents import Agent, FunctionTool, RunContextWrapper, function_tool
classLocation(TypedDict): lat: float long: float
@function_tool asyncdeffetch_weather(location: Location) -> str: """Fetch the weather for a given location. Args: location: The location to fetch the weather for. """ # In real life, we'd fetch the weather from a weather API return"sunny"
@function_tool(name_override="fetch_data") defread_file(ctx: RunContextWrapper[Any], path: str, directory: str | None = None) -> str: """Read the contents of a file. Args: path: The path to the file to read. directory: The directory to read the file from. """ # In real life, we'd read the file from the file system return"<file contents>"
fetch_weather Fetch the weather for a given location. { "$defs": { "Location": { "properties": { "lat": { "title": "Lat", "type": "number" }, "long": { "title": "Long", "type": "number" } }, "required": [ "lat", "long" ], "title": "Location", "type": "object" } }, "properties": { "location": { "$ref": "#/$defs/Location", "description": "The location to fetch the weather for." } }, "required": [ "location" ], "title": "fetch_weather_args", "type": "object" }
fetch_data Read the contents of a file. { "properties": { "path": { "description": "The path to the file to read.", "title": "Path", "type": "string" }, "directory": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "The directory to read the file from.", "title": "Directory" } }, "required": [ "path" ], "title": "fetch_data_args", "type": "object" }
Custom function tools 自定义函数工具
Sometimes, you don't want to use a Python function as a tool. You can directly create a FunctionTool if you prefer. You'll need to provide: 有时，你不想使用 Python 函数作为工具。如果你愿意，可以直接创建一个 FunctionTool 。你需要提供：
name
description
params_json_schema, which is the JSON schema for the arguments params_json_schema ，这是参数的 JSON 模式
on_invoke_tool, which is an async function that receives the context and the arguments as a JSON string, and must return the tool output as a string. on_invoke_tool ，这是一个异步函数，接收上下文和作为 JSON 字符串的参数，并且必须返回工具输出的字符串。
Automatic argument and docstring parsing 自动参数和文档字符串解析
As mentioned before, we automatically parse the function signature to extract the schema for the tool, and we parse the docstring to extract descriptions for the tool and for individual arguments. Some notes on that: 如前所述，我们自动解析函数签名以提取工具的模式，并解析文档字符串以提取工具及其个别参数的描述。关于这一点的一些注意事项：
The signature parsing is done via the inspect module. We use type annotations to understand the types for the arguments, and dynamically build a Pydantic model to represent the overall schema. It supports most types, including Python primitives, Pydantic models, TypedDicts, and more. 签名解析是通过 inspect 模块完成的。我们使用类型注解来理解参数的类型，并动态构建 Pydantic 模型来表示整体模式。它支持大多数类型，包括 Python 原语、Pydantic 模型、TypedDicts 等。
We use griffe to parse docstrings. Supported docstring formats are google, sphinx and numpy. We attempt to automatically detect the docstring format, but this is best-effort and you can explicitly set it when calling function_tool. You can also disable docstring parsing by setting use_docstring_info to False. 我们使用 griffe 来解析文档字符串。支持的文档字符串格式有 google ， sphinx 和 numpy 。我们尝试自动检测文档字符串格式，但这只是尽力而为，您可以在调用 function_tool 时明确设置它。您还可以通过将 use_docstring_info 设置为 False 来禁用文档字符串解析。
The code for the schema extraction lives in agents.function_schema{.autorefs .autorefs-internal}. 作为工具的代理代码位于 agents.function_schema 中。
Agents as tools 代理作为工具
In some workflows, you may want a central agent to orchestrate a network of specialized agents, instead of handing off control. You can do this by modeling agents as tools. 在某些工作流程中，您可能希望有一个中央代理来协调一组专门的代理，而不是转交控制权。您可以通过将代理建模为工具来实现这一点。
spanish_agent = Agent( name="Spanish agent", instructions="You translate the user's message to Spanish", )
french_agent = Agent( name="French agent", instructions="You translate the user's message to French", )
orchestrator_agent = Agent( name="orchestrator_agent", instructions=( "You are a translation agent. You use the tools given to you to translate." "If asked for multiple translations, you call the relevant tools." ), tools=[ spanish_agent.as_tool( tool_name="translate_to_spanish", tool_description="Translate the user's message to Spanish", ), french_agent.as_tool( tool_name="translate_to_french", tool_description="Translate the user's message to French", ), ], )
asyncdefmain(): result = await Runner.run(orchestrator_agent, input="Say 'Hello, how are you?' in Spanish.") print(result.final_output)
Handling errors in function tools 处理函数工具中的错误
When you create a function tool via @function_tool, you can pass a failure_error_function. This is a function that provides an error response to the LLM in case the tool call crashes. 当您通过 @function_tool 创建一个函数工具时，可以传递一个 failure_error_function 。这是一个在工具调用崩溃时提供错误响应的LLM函数。
By default (i.e. if you don't pass anything), it runs a default_tool_error_function which tells the LLM an error occurred.
If you pass your own error function, it runs that instead, and sends the response to the LLM.
If you explicitly pass None, then any tool call errors will be re-raised for you to handle. This could be a ModelBehaviorError if the model produced invalid JSON, or a UserError if your code crashed, etc.
If you are manually creating a FunctionTool object, then you must handle errors inside the on_invoke_tool function. 如果手动创建一个 FunctionTool 对象，那么必须在 on_invoke_tool 函数内部处理错误。
Handoffs 手递手
Handoffs allow an agent to delegate tasks to another agent. This is particularly useful in scenarios where different agents specialize in distinct areas. For example, a customer support app might have agents that each specifically handle tasks like order status, refunds, FAQs, etc. 手递包括一个代理将任务委派给另一个代理。这在不同代理在特定领域专业化的情景中特别有用。例如，一个客户服务应用程序可能有专门处理订单状态、退款、常见问题解答等任务的代理。
Handoffs are represented as tools to the LLM. So if there's a handoff to an agent named Refund Agent, the tool would be called transfer_to_refund_agent. Handoffs 作为工具由 LLM 提供。所以如果有一个交给名为 Refund Agent 的代理的手递，那么这个工具将被称为 transfer_to_refund_agent 。
Creating a handoff 创建一个交接
All agents have a handoffs param, which can either take an Agent directly, or a Handoff object that customizes the Handoff. 所有代理都有一个 handoffs 参数，它可以接受一个 Agent 直接或一个 Handoff 对象来自定义 Handoff。
You can create a handoff using the handoff() function provided by the Agents SDK. This function allows you to specify the agent to hand off to, along with optional overrides and input filters. 您可以使用代理 SDK 提供的 handoff() 函数创建 Handoff。此函数允许您指定要转交的代理，以及可选的覆盖和输入过滤。
Basic Usage 基本用法
Here's how you can create a simple handoff: 这里是如何创建一个简单的手 off：
Customizing handoffs via the handoff() function 通过 handoff() 函数自定义手 offs
The handoff(){.autorefs .autorefs-internal} function lets you customize things. handoff() 函数允许您自定义内容。
agent: This is the agent to which things will be handed off. agent : 这是将要接收内容的代理。
tool_name_override: By default, the Handoff.default_tool_name() function is used, which resolves to transfer_to_<agent_name>. You can override this. tool_name_override : 默认情况下，使用 Handoff.default_tool_name() 函数，该函数解析为 transfer_to_<agent_name> 。您可以覆盖此设置。
tool_description_override: Override the default tool description from Handoff.default_tool_description() tool_description_override : 从 Handoff.default_tool_description() 覆盖默认工具描述
on_handoff: A callback function executed when the handoff is invoked. This is useful for things like kicking off some data fetching as soon as you know a handoff is being invoked. This function receives the agent context, and can optionally also receive LLM generated input. The input data is controlled by the input_type param. on_handoff : 在交接被调用时执行的回调函数。这在你知道一个交接即将被调用时，比如启动一些数据获取等非常有用。此函数接收代理上下文，并可选地接收LLM 生成的输入。输入数据由 input_type 参数控制。
input_type: The type of input expected by the handoff (optional). input_type : 交接期望的输入类型（可选）。
input_filter: This lets you filter the input received by the next agent. See below for more. input_filter : 这可以让您过滤下一个代理接收到的输入。更多内容请参见下方。
1 2 3 4 5 6 7 8 9 10 11 12 13 14
from agents import Agent, handoff, RunContextWrapper
In certain situations, you want the LLM to provide some data when it calls a handoff. For example, imagine a handoff to an "Escalation agent". You might want a reason to be provided, so you can log it. 在某些情况下，您希望LLM在呼叫转接时提供一些数据。例如，假设有一个转接到”升级代理”的转接。您可能希望提供一个原因，以便记录。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
from pydantic import BaseModel
from agents import Agent, handoff, RunContextWrapper
classEscalationData(BaseModel): reason: str
asyncdefon_handoff(ctx: RunContextWrapper[None], input_data: EscalationData): print(f"Escalation agent called with reason: ")
When a handoff occurs, it's as though the new agent takes over the conversation, and gets to see the entire previous conversation history. If you want to change this, you can set an input_filter. An input filter is a function that receives the existing input via a HandoffInputData, and must return a new HandoffInputData. 当发生转接时，新代理就像接管了对话，并能看到整个之前的对话历史。如果您想改变这一点，可以设置一个 input_filter 。输入过滤器是一个函数，它通过 HandoffInputData 接收现有的输入，并必须返回一个新的 HandoffInputData 。
There are some common patterns (for example removing all tool calls from the history), which are implemented for you in agents.extensions.handoff_filters{.autorefs .autorefs-internal} 有一些常见的模式（例如，从历史记录中移除所有工具调用），这些模式在 agents.extensions.handoff_filters 中为你实现了
1 2 3 4 5 6 7 8 9 10
from agents import Agent, handoff from agents.extensions import handoff_filters
To make sure that LLMs understand handoffs properly, we recommend including information about handoffs in your agents. We have a suggested prefix in agents.extensions.handoff_prompt.RECOMMENDED_PROMPT_PREFIX, or you can call agents.extensions.handoff_prompt.prompt_with_handoff_instructions to automatically add recommended data to your prompts. 为了确保LLMs正确理解交接，我们建议在你的代理中包含关于交接的信息。我们有一个建议的前缀在 agents.extensions.handoff_prompt.RECOMMENDED_PROMPT_PREFIX 中，或者你可以调用 agents.extensions.handoff_prompt.prompt_with_handoff_instructions 以自动将推荐的数据添加到你的提示中。
1 2 3 4 5 6 7 8 9
from agents import Agent from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX
billing_agent = Agent( name="Billing agent", instructions=f""" <Fill in the rest of your prompt here>.""", )
Tracing 跟踪
The Agents SDK includes built-in tracing, collecting a comprehensive record of events during an agent run: LLM generations, tool calls, handoffs, guardrails, and even custom events that occur. Using the Traces dashboard, you can debug, visualize, and monitor your workflows during development and in production. Agents SDK 包含内置的跟踪功能，收集代理运行期间的全面事件记录：LLM 生成、工具调用、传递、护栏，甚至发生的自定义事件。通过 Traces 控制面板，您可以在开发和生产环境中调试、可视化和监控工作流。
Note 注意
Tracing is enabled by default. There are two ways to disable tracing: 跟踪默认启用。有两种方法可以禁用跟踪：
You can globally disable tracing by setting the env var OPENAI_AGENTS_DISABLE_TRACING=1 您可以通过设置环境变量 OPENAI_AGENTS_DISABLE_TRACING=1 全局禁用跟踪。
You can disable tracing for a single run by setting agents.run.RunConfig.tracing_disabled to True 可以通过设置 agents.run.RunConfig.tracing_disabled 为 True 来禁用单次运行的跟踪
Traces and spans 跟踪和跨度
Traces represent a single end-to-end operation of a "workflow". They're composed of Spans. Traces have the following properties: 跟踪代表一个”工作流”的端到端操作。它们由跨度组成。跟踪具有以下属性：
workflow_name: This is the logical workflow or app. For example "Code generation" or "Customer service". 这是逻辑工作流或应用。例如”代码生成”或”客户服务”。
trace_id: A unique ID for the trace. Automatically generated if you don't pass one. Must have the format trace_<32_alphanumeric>. 这是跟踪的唯一 ID。如果没有传递，将自动生成。必须具有 trace_<32_alphanumeric> 的格式。
group_id: Optional group ID, to link multiple traces from the same conversation. For example, you might use a chat thread ID. 可选的组 ID，用于链接同一对话中的多个跟踪。例如，你可能会使用聊天线程 ID。
disabled: If True, the trace will not be recorded. 如果为 True，将不会记录跟踪。
metadata: Optional metadata for the trace. 可选的跟踪元数据。
Spans represent operations that have a start and end time. Spans have: 范围代表具有开始和结束时间的操作。范围包含：
started_at and ended_at timestamps. started_at 和 ended_at 时间戳。
trace_id, to represent the trace they belong to trace_id ，以表示它们所属的跟踪
parent_id, which points to the parent Span of this Span (if any) parent_id ，指向此 Span 的父 Span（如果有）
span_data, which is information about the Span. For example, AgentSpanData contains information about the Agent, GenerationSpanData contains information about the LLM generation, etc. span_data ，这是关于 Span 的信息。例如， AgentSpanData 包含关于 Agent 的信息， GenerationSpanData 包含关于 LLM 生成的信息，等等。
Default tracing 默认跟踪
By default, the SDK traces the following: 默认情况下，SDK 会跟踪以下内容：
The entire Runner.() is wrapped in a trace(). 整个 Runner.() 被包裹在 trace() 中。
Each time an agent runs, it is wrapped in agent_span() 每次运行一个代理时，它会被包裹在 agent_span() 中。
LLM generations are wrapped in generation_span() 生成代数被包裹在 generation_span()
Function tool calls are each wrapped in function_span() 函数工具调用各自被包裹在 function_span()
Guardrails are wrapped in guardrail_span() 守护 rails 被包裹在 guardrail_span()
Handoffs are wrapped in handoff_span() 手递手操作包含在 handoff_span()
By default, the trace is named "Agent trace". You can set this name if you use trace, or you can can configure the name and other properties with the RunConfig. 默认情况下，跟踪命名为”Agent 跟踪”。如果你使用 trace ，你可以设置这个名称，或者你可以使用 RunConfig 来配置名称和其他属性。
In addition, you can set up custom trace processors to push traces to other destinations (as a replacement, or secondary destination). 此外，你可以设置自定义跟踪处理器将跟踪推送到其他目的地（作为替代目的地或次要目的地）。
Higher level traces 更高级的跟踪
Sometimes, you might want multiple calls to run() to be part of a single trace. You can do this by wrapping the entire code in a trace(). 有时，你可能希望多个对 run() 的调用属于同一个跟踪。你可以通过将整个代码包裹在 trace() 中来实现这一点。
with trace("Joke workflow"): first_result = await Runner.run(agent, "Tell me a joke") second_result = await Runner.run(agent, f"Rate this joke: ") print(f"Joke: ") print(f"Rating: ")
Creating traces 创建跟踪
You can use the trace(){.autorefs .autorefs-internal} function to create a trace. Traces need to be started and finished. You have two options to do so: 可以使用 trace() 函数来创建一个跟踪。跟踪需要开始和结束。您有以下两种选择：
Recommended: use the trace as a context manager, i.e. with trace(...) as my_trace. This will automatically start and end the trace at the right time. 推荐：使用 trace 作为上下文管理器，即 with trace(...) as my_trace 。这将在正确的时间自动开始和结束跟踪。
The current trace is tracked via a Python contextvar. This means that it works with concurrency automatically. If you manually start/end a trace, you'll need to pass mark_as_current and reset_current to start()/finish() to update the current trace. 当前跟踪通过 Python contextvar 进行跟踪。这意味着它会自动处理并发。如果你手动开始/结束一个跟踪，你需要将 mark_as_current 和 reset_current 传递给 start() / finish() 以更新当前跟踪。
Creating spans 创建跨度
You can use the various *_span(){.autorefs .autorefs-internal} methods to create a span. In general, you don't need to manually create spans. A custom_span(){.autorefs .autorefs-internal} function is available for tracking custom span information. 你可以使用各种 *_span() 方法来创建一个跨度。一般来说，你不需要手动创建跨度。有一个 custom_span() 函数可以用来跟踪自定义的跨度信息。
Spans are automatically part of the current trace, and are nested under the nearest current span, which is tracked via a Python contextvar. Spans 是自动成为当前跟踪的一部分，并嵌套在最近的当前 Span 下，这通过 Python contextvar 跟踪。
Sensitive data 敏感数据
Some spans track potentially sensitive data. For example, the generation_span() stores the inputs/outputs of the LLM generation, and function_span() stores the inputs/outputs of function calls. These may contain sensitive data, so you can disable capturing that data via RunConfig.trace_include_sensitive_data. 某些跨度跟踪可能敏感的数据。例如， generation_span() 存储了LLM 生成的输入/输出， function_span() 存储了函数调用的输入/输出。这些可能包含敏感数据，因此你可以通过 RunConfig.trace_include_sensitive_data 禁用捕获这些数据。
Custom tracing processors 自定义跟踪处理器
The high level architecture for tracing is: 跟踪的高级架构是：
At initialization, we create a global TraceProvider, which is responsible for creating traces. 在初始化时，我们创建一个全局的 TraceProvider ，它负责创建跟踪。
We configure the TraceProvider with a BatchTraceProcessor that sends traces/spans in batches to a BackendSpanExporter, which exports the spans and traces to the OpenAI backend in batches. 我们将 TraceProvider 配置为一个 BatchTraceProcessor ，它以批次的方式将跟踪/跨度发送到 BackendSpanExporter ，后者以批次的方式将跨度和跟踪导出到 OpenAI 后端。
To customize this default setup, to send traces to alternative or additional backends or modifying exporter behavior, you have two options: 要自定义此默认设置，将跟踪发送到替代或附加后端或修改导出程序行为，您有两个选项：
add_trace_processor() lets you add an additional trace processor that will receive traces and spans as they are ready. This lets you do your own processing in addition to sending traces to OpenAI's backend. add_trace_processor() 可以添加一个附加跟踪处理器，该处理器将在跟踪和跨度准备好时接收它们。这使您可以在发送跟踪到 OpenAI 后端的同时进行自己的处理。
set_trace_processors() lets you replace the default processors with your own trace processors. This means traces will not be sent to the OpenAI backend unless you include a TracingProcessor that does so. set_trace_processors() 可以用您自己的跟踪处理器替换默认处理器。这意味着除非您包含一个 TracingProcessor ，否则跟踪将不会发送到 OpenAI 后端。
Context is an overloaded term. There are two main classes of context you might care about: 上下文是一个被过度使用的术语。你可能关心的上下文主要有两类：
Context available locally to your code: this is data and dependencies you might need when tool functions run, during callbacks like on_handoff, in lifecycle hooks, etc. 本地代码可用的上下文：这是工具函数运行、回调函数如 on_handoff 、生命周期钩子等期间可能需要的数据和依赖。
Context available to LLMs: this is data the LLM sees when generating a response. LLMs可用的上下文：这是LLM在生成响应时看到的数据。
Local context 本地上下文
This is represented via the RunContextWrapper class and the context property within it. The way this works is: 这是通过 RunContextWrapper 类及其内部的 context 属性来表示的。这种方式的工作原理是：
You create any Python object you want. A common pattern is to use a dataclass or a Pydantic object. 你可以创建任意的 Python 对象。常见的模式是使用数据类或 Pydantic 对象。
You pass that object to the various run methods (e.g. Runner.run(..., **context=whatever**)). 你可以将该对象传递给各种 run 方法（例如 Runner.run(..., **context=whatever**)) 。）
All your tool calls, lifecycle hooks etc will be passed a wrapper object, RunContextWrapper[T], where T represents your context object type which you can access via wrapper.context. 所有你的工具调用、生命周期钩子等都将传递一个包装对象 RunContextWrapper[T] ，其中 T 代表你的上下文对象类型，你可以通过 wrapper.context 访问它。
The most important thing to be aware of: every agent, tool function, lifecycle etc for a given agent run must use the same type of context. 需要注意的是：对于给定的代理运行，每个代理、工具函数、生命周期等都必须使用相同的上下文类型。
You can use the context for things like: 你可以使用上下文来进行：
Contextual data for your run (e.g. things like a username/uid or other information about the user) 运行的上下文数据（例如用户名/uid 或其他用户信息）
Dependencies (e.g. logger objects, data fetchers, etc) 依赖项（例如日志记录对象、数据获取器等）
Helper functions 辅助函数
Note 注意
The context object is not sent to the LLM. It is purely a local object that you can read from, write to and call methods on it. 上下文对象不会发送到LLM。它是一个纯粹的本地对象，你可以从中读取、写入并调用其方法。
result = await Runner.run( starting_agent=agent, input="What is the age of the user?", context=user_info, )
print(result.final_output) # The user John is 47 years old.
if __name__ == "__main__": asyncio.run(main())
Agent/LLM context
When an LLM is called, the only data it can see is from the conversation history. This means that if you want to make some new data available to the LLM, you must do it in a way that makes it available in that history. There are a few ways to do this: 当调用LLM时，它只能看到对话历史中的数据。这意味着如果你想让LLM访问一些新数据，你必须以这种方式使其在历史记录中可用。有几种方法可以做到这一点：
You can add it to the Agent instructions. This is also known as a "system prompt" or "developer message". System prompts can be static strings, or they can be dynamic functions that receive the context and output a string. This is a common tactic for information that is always useful (for example, the user's name or the current date). 你可以将其添加到 Agent instructions 中。这通常被称为”系统提示”或”开发者消息”。系统提示可以是静态字符串，也可以是动态函数，接收上下文并输出一个字符串。这是一种常见的策略，用于始终有用的信息（例如用户的姓名或当前日期）。
Add it to the input when calling the Runner.run functions. This is similar to the instructions tactic, but allows you to have messages that are lower in the chain of command. 在调用 Runner.run 函数时将其添加到 input 中。这与 instructions 策略类似，但允许你有较低层级的消息。
Expose it via function tools. This is useful for on-demand context - the LLM decides when it needs some data, and can call the tool to fetch that data. 通过函数工具暴露它。这对于按需上下文非常有用——LLM决定何时需要某些数据，并可以调用工具来获取这些数据。
Use retrieval or web search. These are special tools that are able to fetch relevant data from files or databases (retrieval), or from the web (web search). This is useful for "grounding" the response in relevant contextual data. 使用检索或网络搜索。这些是特殊工具，能够从文件或数据库中检索相关数据（检索），或从网络中检索相关数据（网络搜索）。这对于使响应基于相关上下文数据非常有用。
Guardrails 守护措施
Guardrails run in parallel to your agents, enabling you to do checks and validations of user input. For example, imagine you have an agent that uses a very smart (and hence slow/expensive) model to help with customer requests. You wouldn't want malicious users to ask the model to help them with their math homework. So, you can run a guardrail with a fast/cheap model. If the guardrail detects malicious usage, it can immediately raise an error, which stops the expensive model from running and saves you time/money. 护栏与您的代理并行运行，使您能够检查和验证用户输入。例如，假设您有一个使用非常智能（因此较慢且昂贵）的模型来帮助处理客户请求的代理。您不希望恶意用户请求该模型帮助他们做数学作业。因此，您可以运行一个护栏，使用一个快速且便宜的模型。如果护栏检测到恶意使用，它会立即引发错误，从而阻止昂贵的模型运行并节省您时间和金钱。
There are two kinds of guardrails: 有两种类型的护栏：
Input guardrails run on the initial user input 输入护栏基于初始用户输入运行
Output guardrails run on the final agent output 输出 guardrails 运行在最终代理输出上
Input guardrails 输入护栏
Input guardrails run in 3 steps: 输入护栏分为 3 步:
First, the guardrail receives the same input passed to the agent. 首先，护栏会接收与代理相同的输入。
Next, the guardrail function runs to produce a GuardrailFunctionOutput, which is then wrapped in an InputGuardrailResult 接着，运行护栏功能以生成一个 GuardrailFunctionOutput ，然后将其包裹在 InputGuardrailResult 中。
Finally, we check if .tripwire_triggered is true. If true, an InputGuardrailTripwireTriggered exception is raised, so you can appropriately respond to the user or handle the exception. 最后，我们检查 .tripwire_triggered 是否为真。如果为真，则会抛出一个 InputGuardrailTripwireTriggered 异常，以便您可以适当地向用户做出响应或处理异常。
Note 注意
Input guardrails are intended to run on user input, so an agent's guardrails only run if the agent is the first agent. You might wonder, why is the guardrails property on the agent instead of passed to Runner.run? It's because guardrails tend to be related to the actual Agent - you'd run different guardrails for different agents, so colocating the code is useful for readability. 输入护栏旨在运行在用户输入上，因此只有当代理是第一个代理时，代理的护栏才会运行。你可能会好奇，为什么 guardrails 属性在代理上而不是传递给 Runner.run ？这是因为护栏通常与实际的代理相关——你会为不同的代理运行不同的护栏，因此将代码放在一起有助于提高可读性。
Output guardrails 输出护栏
Output guardrails run in 3 steps: 输出护栏运行在 3 个步骤中:
First, the guardrail receives the same input passed to the agent. 首先，护栏会接收与代理相同的输入。
Next, the guardrail function runs to produce a GuardrailFunctionOutput, which is then wrapped in an OutputGuardrailResult 接着，运行护栏功能以生成一个 GuardrailFunctionOutput ，然后将其包裹在 OutputGuardrailResult 中。
Finally, we check if .tripwire_triggered is true. If true, an OutputGuardrailTripwireTriggered exception is raised, so you can appropriately respond to the user or handle the exception. 最后，我们检查 .tripwire_triggered 是否为真。如果为真，则会抛出一个 OutputGuardrailTripwireTriggered 异常，以便您可以适当地向用户做出响应或处理该异常。
Note 注意
Output guardrails are intended to run on the final agent input, so an agent's guardrails only run if the agent is the last agent. Similar to the input guardrails, we do this because guardrails tend to be related to the actual Agent - you'd run different guardrails for different agents, so colocating the code is useful for readability. 输出 guardrails 旨在运行在最终代理输入上，因此只有当代理是最后一个代理时，代理的 guardrails 才会运行。类似于输入 guardrails，我们这样做是因为 guardrails 往往与实际的代理相关——你会为不同的代理运行不同的 guardrails，因此将代码放在一起有助于提高可读性。
Tripwires 触发线
If the input or output fails the guardrail, the Guardrail can signal this with a tripwire. As soon as we see a guardrail that has triggered the tripwires, we immediately raise a GuardrailTripwireTriggered exception and halt the Agent execution. 如果输入或输出违反了护栏规则，护栏可以通过触发警报线来指示这一点。一旦我们发现触发了护栏警报线，我们将立即抛出一个 GuardrailTripwireTriggered 异常并停止 Agent 的执行。
Implementing a guardrail 实现护栏
You need to provide a function that receives input, and returns a GuardrailFunctionOutput{.autorefs .autorefs-internal}. In this example, we'll do this by running an Agent under the hood. 你需要提供一个接收输入并返回一个 GuardrailFunctionOutput 的函数。在这个例子中，我们将通过在后台运行一个 Agent 来实现这一点。
guardrail_agent = Agent( name="Guardrail check", instructions="Check if the user is asking you to do their math homework.", output_type=MathHomeworkOutput, )
agent = Agent( name="Customer support agent", instructions="You are a customer support agent. You help customers with their questions.", input_guardrails=[math_guardrail], )
asyncdefmain(): # This should trip the guardrail try: await Runner.run(agent, "Hello, can you help me solve for x: 2x + 3 = 11?") print("Guardrail didn't trip - this is unexpected")
agent = Agent( name="Customer support agent", instructions="You are a customer support agent. You help customers with their questions.", output_guardrails=[math_guardrail], output_type=MessageOutput, )
asyncdefmain(): # This should trip the guardrail try: await Runner.run(agent, "Hello, can you help me solve for x: 2x + 3 = 11?") print("Guardrail didn't trip - this is unexpected")
Orchestration refers to the flow of agents in your app. Which agents run, in what order, and how do they decide what happens next? There are two main ways to orchestrate agents: 编排是指您应用程序中代理的流程。哪些代理运行，顺序如何，以及它们如何决定下一步该做什么？主要有两种编排代理的方式：
Allowing the LLM to make decisions: this uses the intelligence of an LLM to plan, reason, and decide on what steps to take based on that. 允许LLM做出决策：这使用了LLM的智能来规划、推理并决定应采取哪些步骤。
Orchestrating via code: determining the flow of agents via your code. 通过代码编排：通过你的代码确定代理的流程。
You can mix and match these patterns. Each has their own tradeoffs, described below. 这些模式可以混合使用。每个模式都有各自的权衡，详情如下。
Orchestrating via LLM
An agent is an LLM equipped with instructions, tools and handoffs. This means that given an open-ended task, the LLM can autonomously plan how it will tackle the task, using tools to take actions and acquire data, and using handoffs to delegate tasks to sub-agents. For example, a research agent could be equipped with tools like: 代理是一个配备了指令、工具和转交的LLM。这意味着，给定一个开放式的任务，LLM可以自主规划如何完成任务，使用工具采取行动并获取数据，以及使用转交将任务委派给子代理。例如，一个研究代理可以配备以下工具：
Web search to find information online 网络搜索以在线查找信息
File search and retrieval to search through proprietary data and connections 文件搜索和检索以搜索内部数据和连接
Computer use to take actions on a computer 计算机用于在计算机上执行动作
Code execution to do data analysis 代码执行以进行数据分析
Handoffs to specialized agents that are great at planning, report writing and more. 将任务转交给擅长规划和报告写作的专业代理。
This pattern is great when the task is open-ended and you want to rely on the intelligence of an LLM. The most important tactics here are: 当任务开放且您希望依赖代理的智能时，这种模式非常有用。这里最重要的策略是：
Invest in good prompts. Make it clear what tools are available, how to use them, and what parameters it must operate within. 投入良好的提示。明确说明可用的工具、如何使用它们以及必须在其范围内运行的参数。
Monitor your app and iterate on it. See where things go wrong, and iterate on your prompts. 监控你的应用程序并进行迭代。看看哪里出了问题，并迭代你的提示。
Allow the agent to introspect and improve. For example, run it in a loop, and let it critique itself; or, provide error messages and let it improve. 允许代理进行自我反省和改进。例如，将其放在循环中，并让它自我批评；或者，提供错误消息并让它改进。
Have specialized agents that excel in one task, rather than having a general purpose agent that is expected to be good at anything. 有专门擅长一项任务的代理，而不是期望一个通用代理在任何事情上都做得很好。
Invest in evals. This lets you train your agents to improve and get better at tasks. 投资于评估。这可以让您的代理提高并更好地完成任务。
Orchestrating via code 通过代码编排
While orchestrating via LLM is powerful, orchestrating via code makes tasks more deterministic and predictable, in terms of speed, cost and performance. Common patterns here are: 虽然通过LLM编排是强大的，但通过代码编排使任务在速度、成本和性能方面更具确定性和可预测性。常见的模式包括：
Using structured outputs to generate well formed data that you can inspect with your code. For example, you might ask an agent to classify the task into a few categories, and then pick the next agent based on the category. 使用结构化的输出生成易于代码检查的格式化数据。例如，你可以让智能体将任务分类到几个类别中，然后根据类别选择下一个智能体。
Chaining multiple agents by transforming the output of one into the input of the next. You can decompose a task like writing a blog post into a series of steps - do research, write an outline, write the blog post, critique it, and then improve it. 通过将一个智能体的输出转换为下一个智能体的输入来串联多个智能体。你可以将撰写博客文章的任务分解为一系列步骤——进行研究，撰写提纲，撰写博客文章，进行批判性评估，然后改进。
Running the agent that performs the task in a while loop with an agent that evaluates and provides feedback, until the evaluator says the output passes certain criteria. 用一个评估并提供反馈的智能体与执行任务的智能体在一个 while 循环中运行，直到评估者认为输出满足某些标准为止。
Running multiple agents in parallel, e.g. via Python primitives like asyncio.gather. This is useful for speed when you have multiple tasks that don't depend on each other. 并发运行多个代理，例如通过 Python 原语 asyncio.gather 实现。当您有多个不依赖于彼此的任务时，这很有用。
We have a number of examples in examples/agent_patterns. 我们有一些示例在 examples/agent_patterns 中。
Models 模型
The Agents SDK comes with out-of-the-box support for OpenAI models in two flavors: 代理 SDK 内置支持两种类型的 OpenAI 模型：
Recommended: the OpenAIResponsesModel, which calls OpenAI APIs using the new Responses API. 推荐： OpenAIResponsesModel ，它使用新的 Responses API 调用 OpenAI API。
Within a single workflow, you may want to use different models for each agent. For example, you could use a smaller, faster model for triage, while using a larger, more capable model for complex tasks. When configuring an Agent, you can select a specific model by either: 在单个工作流中，您可能希望为每个代理使用不同的模型。例如，您可以为初步筛选使用较小且更快的模型，而为复杂任务使用更大且更强大的模型。在配置一个 Agent 时，您可以通过以下方式选择特定的模型：
Passing the name of an OpenAI model. 传递一个 OpenAI 模型的名称。
Passing any model name + a ModelProvider that can map that name to a Model instance. 传递任何模型名称加上一个 ModelProvider ，该 ModelProvider 可以将该名称映射到一个 Model 实例。
Directly providing a Model implementation. 直接提供一个 Model 实现。
Note 注意
While our SDK supports both the OpenAIResponsesModel and the OpenAIChatCompletionsModel shapes, we recommend using a single model shape for each workflow because the two shapes support a different set of features and tools. If your workflow requires mixing and matching model shapes, make sure that all the features you're using are available on both. 虽然我们的 SDK 支持 OpenAIResponsesModel 和 OpenAIChatCompletionsModel 两种形状，但我们建议为每个工作流使用单一的模型形状，因为这两种形状支持不同的功能和工具。如果您的工作流需要混合使用不同的模型形状，请确保您使用的所有功能在两种形状中都是可用的。
triage_agent = Agent( name="Triage agent", instructions="Handoff to the appropriate agent based on the language of the request.", handoffs=[spanish_agent, english_agent], model="gpt-3.5-turbo", )
asyncdefmain(): result = await Runner.run(triage_agent, input="Hola, ¿cómo estás?") print(result.final_output)
Using other LLM providers 使用其他LLM提供商
Many providers also support the OpenAI API format, which means you can pass a base_url to the existing OpenAI model implementations and use them easily. ModelSettings is used to configure tuning parameters (e.g., temperature, top_p) for the model you select. 许多提供商也支持 OpenAI API 格式，这意味着您可以将 base_url 传递给现有的 OpenAI 模型实现并轻松使用它们。 ModelSettings 用于配置模型的调优参数（例如，温度、top_p）。
By default, the SDK looks for the OPENAI_API_KEY environment variable for LLM requests and tracing, as soon as it is imported. If you are unable to set that environment variable before your app starts, you can use the set_default_openai_key(){.autorefs .autorefs-internal} function to set the key. 默认情况下，SDK 在导入时会查找 OPENAI_API_KEY 环境变量以用于 LLM 请求和跟踪。如果你在应用启动前无法设置该环境变量，可以使用 set_default_openai_key() 函数来设置密钥。
1 2 3 4
from agents import set_default_openai_key
set_default_openai_key("sk-...")
Alternatively, you can also configure an OpenAI client to be used. By default, the SDK creates an AsyncOpenAI instance, using the API key from the environment variable or the default key set above. You can change this by using the set_default_openai_client()function. 另外，你也可以配置一个要使用的 OpenAI 客户端。默认情况下，SDK 会创建一个 AsyncOpenAI 实例，使用环境变量中的 API 密钥或上面设置的默认密钥。你可以通过使用 set_default_openai_client() 函数来更改这一点。
1 2 3 4 5 6
from openai import AsyncOpenAI from agents import set_default_openai_client
Finally, you can also customize the OpenAI API that is used. By default, we use the OpenAI Responses API. You can override this to use the Chat Completions API by using the set_default_openai_api(){.autorefs .autorefs-internal} function. 最后，你还可以自定义使用的 OpenAI API。默认情况下，我们使用 OpenAI Responses API。你可以通过使用 set_default_openai_api() 函数将其更改为使用 Chat Completions API。
1 2 3 4
from agents import set_default_openai_api
set_default_openai_api("chat_completions")
Tracing 跟踪
Tracing is enabled by default. It uses the OpenAI API keys from the section above by default (i.e. the environment variable or the default key you set). You can specifically set the API key used for tracing by using the set_tracing_export_api_key{.autorefs .autorefs-internal} function. 跟踪默认是启用的。它默认使用上述部分的 OpenAI API 密钥（即环境变量或您设置的默认密钥）。您可以使用 set_tracing_export_api_key 函数来具体设置用于跟踪的 API 密钥。
1 2 3 4
from agents import set_tracing_export_api_key
set_tracing_export_api_key("sk-...")
You can also disable tracing entirely by using the set_tracing_disabled(){.autorefs .autorefs-internal} function. 您也可以使用 set_tracing_disabled() 函数完全禁用跟踪。
1 2 3 4
from agents import set_tracing_disabled
set_tracing_disabled(True)
Debug logging 调试日志
The SDK has two Python loggers without any handlers set. By default, this means that warnings and errors are sent to stdout, but other logs are suppressed. SDK 没有任何处理器的两个 Python 日志记录器。默认情况下，这意味着警告和错误会被发送到 stdout ，但其他日志被抑制。
To enable verbose logging, use the enable_verbose_stdout_logging() function. 要启用详细日志记录，请使用 enable_verbose_stdout_logging() 函数。
1 2 3 4
from agents import enable_verbose_stdout_logging
enable_verbose_stdout_logging()
Alternatively, you can customize the logs by adding handlers, filters, formatters, etc. You can read more in the Python logging guide. 或者，您可以自定义日志记录，通过添加处理器、过滤器、格式化程序等。您可以在 Python 日志记录指南中阅读更多内容。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
import logging
logger = logging.getLogger("openai.agents") # or openai.agents.tracing for the Tracing logger
# To make all logs show up logger.setLevel(logging.DEBUG) # To make info and above show up logger.setLevel(logging.INFO) # To make warning and above show up logger.setLevel(logging.WARNING) # etc
# You can customize this as needed, but this will output to `stderr` by default logger.addHandler(logging.StreamHandler())
Sensitive data in logs 日志中的敏感数据
Certain logs may contain sensitive data (for example, user data). If you want to disable this data from being logged, set the following environment variables. 某些日志可能包含敏感数据（例如，用户数据）。如果您想禁用此数据的日志记录，请设置以下环境变量。
To disable logging LLM inputs and outputs: 要禁用日志记录LLM 输入和输出：
1 2
export OPENAI_AGENTS_DONT_LOG_MODEL_DATA=1
To disable logging tool inputs and outputs: 要禁用工具输入和输出的日志记录：
1 2
export OPENAI_AGENTS_DONT_LOG_TOOL_DATA=1
This post was originally published on 2025-03-13 at WTSolutions Blog. View the original article here.
This post was originally published on 2025-02-15 at WTSolutions Blog. View the original article here.
]]><ul>
<li>1hztxt.shx</li>
<li>@extfont2.shx</li>
<li>A.SHX</li>
<li>a.txt</li>
<li>Aaa.shx</li>
<li>acad.sys</li>
<li>AcadEref.shx</li>
<li>AIntroducing "Images to Google Earth" A Seamless Way to Display Your Photos on Google Earthhttps://blog.wtsolutions.cn/introducing-images-to-google-earth/2025-02-05T04:12:05.000Z2026-01-20T06:37:21.260ZIn today’s digital age, capturing moments through photos has become second nature. But what if you could take those memories and place them exactly where they were captured on a global map? Enter ”Images to Google Earth”, a versatile and user-friendly software that allows you to do just that. Whether you’re a travel enthusiast, a professional photographer, or just someone who loves to document their adventures, this tool is designed to enhance your experience with geotagged photos.
What is “Images to Google Earth”?
“Images to Google Earth” is a cross-platform image processing software that enables users to import photos into Google Earth. The software reads the GPS information embedded in your photos (commonly known as Geotags) and generates KMZ files that are compatible with Google Earth. This means you can view your photos at their exact locations on the globe, right within Google Earth.
One of the standout features of this software is its compatibility across multiple platforms. Whether you’re using Windows, Mac, iOS, Linux, or Android, “Images to Google Earth” has got you covered. And the best part? No download or installation is required. It’s a hassle-free solution for anyone looking to visualize their photos geographically.
How Does It Work?
Using “Images to Google Earth” is straightforward:
Drag and Drop: Simply drag one or several images into the designated zone on the software’s interface. The software will automatically read the GPS data from the images.
Generate KMZ Files: Once the GPS data is extracted, the software generates KMZ files. These files are then compatible with Google Earth, allowing your photos to be displayed at their corresponding locations.
View on Google Earth: Open KMZ file with Google Earth, and you’ll see your photos pinned to the exact spots where they were taken. It’s a fantastic way to relive your travels or share your experiences with others.
Privacy and Security
A key concern for many users is privacy. Rest assured, “Images to Google Earth” keeps your photos on your local device. They are not uploaded to the internet or transmitted to Google’s servers. Your data remains secure and private.
Features for Standard and Advanced Users
“Images to Google Earth” offers different features depending on whether you’re a standard or advanced user:
Standard User:
Import up to 6 images at a time.
Completely free to use.
No advanced features.
Advanced User:
No limit on the number of images you can import.
Customize the width of each image displayed on Google Earth (default is 600 pixels, adjustable between 20 and 3000 pixels).
Export GPS data to a CSV file for use in Excel.
Available for a one-time fee of $2.99 for 30 calendar days.
To unlock advanced features, simply input the provided code and verify it within the software.
Why Use “Images to Google Earth”?
Enhanced Visualization: See your photos in the context of their geographical locations.
Cross-Platform Compatibility: Use it on virtually any device or operating system.
Privacy-Focused: Your photos stay on your device, ensuring your data remains private.
User-Friendly: No installation required, making it accessible to everyone.
Conclusion
“Images to Google Earth” is a powerful yet simple tool that bridges the gap between your photos and the world map. Whether you’re a casual user or a professional, this software offers a unique way to visualize and share your geotagged photos. Give it a try and see your memories come to life on Google Earth!
This post was originally published on 2025-02-05 at WTSolutions Blog. View the original article here.
]]><p>In today’s digital age, capturing moments through photos has become second nature. But what if you could take those memories and place软件著作权申请经验分享(个人DIY)https://blog.wtsolutions.cn/%E8%BD%AF%E4%BB%B6%E8%91%97%E4%BD%9C%E6%9D%83%E7%94%B3%E8%AF%B7%E7%BB%8F%E9%AA%8C%E5%88%86%E4%BA%AB%E4%B8%AA%E4%BA%BADIY/2025-01-23T04:12:05.000Z2026-01-20T06:21:56.230Z声明：非任何机构利益相关
This post was originally published on 2025-01-13 at WTSolutions Blog. View the original article here.
]]><p>使用TWSolutions提供的给水厂和污水厂设计计算软件进行格栅设计计算的详细步骤如下：</p>
<h2 id="启动软件并选择设计模块："><a href="#启动软件并选择设计模块：" class="headerlink"Sheet to Doc Image Placeholder Guide Make Your Document Generation More Efficienthttps://blog.wtsolutions.cn/sheet-to-doc-image-placeholder-guide-en/2024-01-04T02:00:00.000Z2026-03-28T01:21:12.758ZWhat is Sheet to Doc?
Sheet to Doc is a powerful document automation tool that can convert Excel spreadsheets, CSV, JSON and other data formats into professional Word documents. It is based on mail merge technology but provides more rich features, such as loop placeholders, conditional placeholders, image placeholders, etc., allowing you to easily generate batch personalized documents.
Application Scenarios
Sheet to Doc is suitable for various scenarios that require batch document generation:
Corporate Office: Batch generation of contracts, quotations, employee certificates, invitation letters, etc.
Education Industry: Batch generation of report cards, admission notices, certificates of merit, etc.
E-commerce Field: Batch generation of product manuals, order confirmation letters, etc.
Event Planning: Batch generation of event tickets, participant badges, thank-you letters, etc.
Any scenario that requires repeated generation of similar documents
How to Get Sheet to Doc?
You can access and use Sheet to Doc in the following ways:
Desktop Application: Download the desktop application for offline use
Using Image Placeholders
Sheet to Doc has supported image placeholder functionality since version 2.2.0, allowing you to automatically insert images when generating documents, greatly enhancing the richness and professionalism of the documents.
Basic Syntax of Image Placeholders
The format of the image placeholder is: {@image_field_name | image_type:width:height}
The @ symbol is the identifier of the image placeholder
image_field_name is the column header in the Excel table that contains the image file name
image_type can be _inline_image (inline image) or _block_image (block image)
width and height are optional parameters, in centimeters, the default size is 5cm x 5cm
Usage Example
1. Prepare Data
Suppose you have an Excel table of product lists, containing product names and corresponding image file names:
Product Name
Image Name
Smart Watch
watch.png
Power Bank
batterybank.png
Wireless Earphones
earphones.png
2. Upload Images
Prepare the corresponding image files (watch.png, batterybank.png, earphones.png) and upload these images when using Sheet to Doc.
3. Design Word Template
In the Word template, use image placeholders to insert images:
1 2 3 4 5 6 7 8 9
# Product Catalog
{#data}
## {Product Name}
{@Image Name | _block_image:8:6}
{/data}
4. Generate Documents
Use the Sheet to Doc tool to generate documents. The system will automatically insert the corresponding data and images into the template, generating complete documents containing images.
Notes on Image Placeholders
Image placeholders must start with @, such as {@Image Name}
Must include image type (| _inline_image or | _block_image), where | and _ must use English characters
Image placeholders must occupy a separate line and cannot be on the same line as other text
The image file name must be consistent with the uploaded image file name (case-sensitive, including suffix)
If an image is listed in Excel but the corresponding image file is not uploaded, “No image uploaded, please upload an image” will be displayed in the generated document
Other Powerful Features
In addition to image placeholders, Sheet to Doc also provides a variety of practical features:
1. Data Placeholders
Basic text placeholders, such as {Name}, {Date}, etc., used to insert simple data.
2. Loop Placeholders
Using {#data}...{/data} syntax, you can loop through multiple rows of data in the table to generate repeated content.
3. Conditional Placeholders
Support conditional judgment, such as:
{#Won Prize}...{/Won Prize}: Display content when the “Won Prize” field is true
{#Prize == "Watch"}...{/}: Display content when the “Prize” field equals “Watch”
4. Data Filters
Provide multiple data formatting filters, such as:
{Price | currency:"$":2}: Format numbers as currency format
{Date | date:"yyyy-MM-dd"}: Format date
{Name | toUpperCase}: Convert text to uppercase
Why Choose Sheet to Doc?
Simple Operation: No complex programming knowledge required, just prepare data and templates to generate documents
Powerful Features: Support multiple data formats and placeholder types to meet complex document requirements
Efficient and Fast: Batch generate documents, greatly improving work efficiency
Professional and Beautiful: Generated documents maintain the format and style of the template, professional and beautiful
Multi-platform Support: Provide online version, desktop application and plug-in version to adapt to different usage scenarios
Continuous Updates: The team continuously develops new features to improve user experience
Sheet to Doc is a powerful document automation tool, especially with the support of image placeholder functionality, it can generate more rich and professional documents. Whether for corporate office or personal use, Sheet to Doc can help you greatly improve document generation efficiency and free you from tedious repetitive work.
Visit Sheet to Doc now and start your efficient document generation journey!
This post was originally published on 2024-01-04 at WTSolutions Blog. View the original article here.
]]><h2 id="What-is-Sheet-to-Doc"><a href="#What-is-Sheet-to-Doc" class="headerlink" title="What is Sheet to Doc?"></a>What is Sheet toSheet to Doc 图片占位符使用指南：让你的文档生成更高效https://blog.wtsolutions.cn/sheet-to-doc-image-placeholder-guide/2024-01-04T02:00:00.000Z2026-03-28T01:20:28.999Z什么是 Sheet to Doc？
Sheet to Doc 是一款强大的文档自动化工具，能够将 Excel 表格、CSV、JSON 等数据格式转换为专业的 Word 文档。它基于邮件合并技术，但提供了更丰富的功能，如循环占位符、判断占位符、图片占位符等，让你能够轻松生成批量个性化文档。
This post was originally published on 2024-01-04 at WTSolutions Blog. View the original article here.
]]><h2 id="什么是-Sheet-to-Doc？"><a href="#什么是-Sheet-to-Doc？" class="headerlink" title="什么是 Sheet to Doc？"></a>什么是 Sheet to Doc？</h2><p>Sheet toExtracting rgba value of each pixel of an imagehttps://blog.wtsolutions.cn/Extracting-rgba-value-of-each-pixel-of-an-image/2022-10-25T14:12:05.000Z2026-03-28T01:42:54.572ZIn this blog post, a free online webapp is recommended to extract rgba value of image pixels, and save as a csv file with multiple format options:
Privacy matters, the images will stay locally on your device, will not be transmitted to any server.
Very simple UI, simple to use.
This post was originally published on 2022-10-25 at WTSolutions Blog. View the original article here.
]]><p>In this blog post, a free online webapp is recommended to extract rgba value of image pixels, and save as a csv file with multipleConvert Excel to JSON within Excelhttps://blog.wtsolutions.cn/convert-excel-to-json-within-excel/2022-10-12T15:25:06.000Z2026-03-28T01:41:10.676ZIn this blog post, a free solution for converting Excel to JSON is presented.
Excel-to-JSON add-in
Excel to JSON is a Microsoft Excel add-in which can convert Excel to JSON.
This post was originally published on 2022-10-12 at WTSolutions Blog. View the original article here.
]]><p>In this blog post, a <strong>free</strong> solution for converting Excel to JSON is presented.</p>
<blockquote>
<p>Excel-to-JSONHow to get data from Cloudflare worker GET/POST requestshttps://blog.wtsolutions.cn/How-to-get-data-from-cloudflare-worker-GET-POST-requests/2022-10-12T08:23:49.000Z2026-01-19T00:11:27.720ZCloudflare worker
Cloudflare Workers provides a serverless execution environment that allows you to create entirely new applications or augment existing ones without configuring or maintaining infrastructure.
Getting data from Cloudflare-worker requests is not as easy as you were working with Express.js on Nodejs, it is necessary to understand the organization of request in Cloudflare-worker.
Cloudflare-worker-request-data is a JavaScript package released under MIT license, which can help you with getting data from a GET or POST request. With this package, it is not necessary to study the API of request from documentation file, and the usage is quite simple and straightforward.
(image-https://i-blog.csdnimg.cn/img_convert/4c5eb6d2279f382b47e674f77d6c45f2.jpeg)){kind=link}
(image-https://i-blog.csdnimg.cn/img_convert/948186f3cb307ed7099e09bfece1be93.jpeg)){kind=link}
(image-https://i-blog.csdnimg.cn/img_convert/9faf831cad34b3b29530de49e2a63787.jpeg)){kind=link}