Mcp Ocr

Created By

rjn32sa year ago

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 Content Tools Comments

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.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

rjn32s

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Homepage

https://github.com/rjn32s/mcp-ocr

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