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Handwriting Ocr MCP Server
MCP Server for Handwritten OCR
rating : 2.5 points
downloads : 20
What is the Handwritten OCR MCP Server?
The handwritten OCR MCP server is a bridge connecting the Model Context Protocol (MCP) client and the handwritten OCR service. It allows you to upload image and PDF files, check task status, and obtain OCR results.How to Use the Handwritten OCR MCP Server?
1. Install and configure the server. 2. Upload the documents to be processed. 3. Check the task status. 4. Obtain the OCR results and export them as Markdown.Applicable Scenarios
The handwritten OCR MCP server is suitable for enterprises and individuals who need to quickly transcribe handwritten documents, such as law firms, educational institutions, and archive management departments.Main Features
Upload DocumentsSupports uploading documents in various formats, including images and PDFs.
Check Task StatusMonitor the document processing progress in real-time to ensure the smooth completion of tasks.
Get TextConvert the document content into a structured Markdown format for easy subsequent editing and sharing.
Advantages and Limitations
Advantages
High-precision handwritten recognition ability.
Supports multiple document formats and is easy to operate.
Real-time status tracking to improve efficiency.
Diverse export formats for easy integration.
Limitations
The recognition effect for low-resolution or blurred images may be limited.
A stable network connection is required to ensure the smooth execution of tasks.
Some advanced features may require subscribing to the premium version.
How to Use
Install and Start the Server
Install the server via npm and set environment variables (such as API_TOKEN). You can start using it after running the server.
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Upload Documents
Use the provided interface to upload the documents to be processed, which can be images or PDF files.
Check Task Status
Query the status of the uploaded task to confirm whether the processing is completed.
Obtain OCR Results
Obtain the OCR results from the server and export them as Markdown.
Usage Examples
Example 1: Upload a Photo of a Handwritten FormThe user uploads a photo of a handwritten form, and the server returns a clear Markdown table.
Example 2: Obtain the Markdown Results of Document TranscriptionThe user uploads a PDF document, and the server returns detailed Markdown content.
Frequently Asked Questions
How to Obtain the API Token?
What Should I Do if the Upload Fails?
Which Languages of Documents are Supported?
Related Resources
Official Documentation of Handwritten OCR
Learn the detailed usage instructions of the handwritten OCR API.
GitHub Issues
Submit issues or suggestions regarding the MCP server.
Installation Guide
Step-by-step guide on how to install the handwritten OCR MCP server.
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