A Tesseract.js-based server that enables image-to-text recognition within MCP-compatible environments like Cursor. It supports multiple languages and common image formats, allowing users to extract text from local files using natural language commands.
A local OCR MCP server that extracts text from images using PP-OCRv6 for fast text extraction and VL-1.6 for document structure analysis, with automatic model routing and GPU detection.
Modular OCR MCP server supporting Apple Vision, PaddleOCR, and PaddleOCR-VL backends. Enables text, layout, table, formula, and chart extraction from images via natural language.
An MCP server that provides OCR capabilities using the EasyOCR library, supporting over 80 languages and GPU acceleration. It enables processing images from base64 strings, local files, or URLs with options for text-only or detailed coordinate and confidence output.