Mcp Ocr
MCP OCR Server is a production-ready OCR solution built with Model Context Protocol (MCP), enabling seamless text extraction from images via Tesseract OCR. Supports local files, URLs, and raw bytes with multi-language capabilities and automatic setup. Fast, reliable, and easy to integrate.
Overview
what is MCP OCR?
MCP OCR is a production-grade Optical Character Recognition (OCR) server built using the Model Context Protocol (MCP) that provides OCR capabilities through a simple interface.
how to use MCP OCR?
To use MCP OCR, install it via pip, start the server, and use the provided functions to extract text from images.
key features of MCP OCR?
- Extract text from images using Tesseract OCR
- Support for multiple input types: local image files, image URLs, and raw image bytes
- Automatic Tesseract installation on supported platforms
- Support for multiple languages
- Production-ready error handling
use cases of MCP OCR?
- Extracting text from scanned documents
- Converting images of printed text into editable formats
- Supporting multilingual text extraction for various applications
FAQ from MCP OCR?
- What input types does MCP OCR support?
MCP OCR supports local image files, image URLs, and raw image bytes.
- How do I install MCP OCR?
You can install MCP OCR using pip with the command
pip install mcp-ocr.
- Is Tesseract installed automatically?
Yes, Tesseract will be installed automatically on supported platforms like macOS, Linux, and Windows.
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