mcp-ocr

The mcp-ocr server is a high-performance Model Context Protocol (MCP) server designed specifically for Optical Character Recognition (OCR) using the native Tesseract engine implemented in C++. Built with Node.js, it delivers up to 10 times faster performance compared to tesseract.js, making it an ideal choice for developers who need efficient and reliable OCR capabilities. You can seamlessly integrate it with tools like ChatGPT Desktop for enhanced functionality in your applications.

Once connected to the mcp-ocr server, you can send image files or URLs containing images for OCR processing. You utilize simple POST requests to interact with the server, making it suitable for various queries such as extracting text from scanned documents or screenshots. For optimal results, ensure that your image files are clear and well-lit, as this will significantly improve accuracy.

Prerequisites

• Ensure you have Node.js installed on your machine. You can download it from nodejs.org.
• Install Tesseract OCR on your system. Refer to the official Tesseract installation guide for instructions.

Option A: Quick Start with npx

If you want to quickly start using the mcp-ocr server without a global installation, you can use the following command:

npx -y mcp-ocr  

Option B: Global Install Alternative

For a global installation, you can clone the repository and install it manually:

git clone https://github.com/dangvinh/mcp-ocr-server.git  
cd mcp-ocr-server  
npm install  
node server.js  

Make sure to run the server using the node server.js command.

When configuring the mcp-ocr server, make sure to set the necessary environment variables for Tesseract to function correctly. Common gotchas include ensuring that the Tesseract installation path is correctly set in your system's environment variables. Additionally, pay attention to image formats supported by Tesseract to avoid compatibility issues.