"A server for finding information about OCR (Optical Character Recognition)" matching MCP servers:

Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.

Enables AI assistants and applications to perform optical character recognition (OCR) from images via stdin/stdout streams or REST API endpoints.

Enables integration between MCP clients and the Handwriting OCR service, allowing users to upload images and PDF documents, check processing status, and retrieve OCR results as Markdown.

Exposes ComfyUI-generated character avatars as tools, allowing control of expressions and poses via preset workflows with adjustable parameters.

Enables document text recognition and extraction from images and PDFs using Claude Vision, including support for scanned documents and structured output, without requiring local OCR engines.

Enables OCR-based text, table, handwriting, and formula recognition from images via MCP, supporting local files and URLs for integration with AI assistants.

High-performance OCR server using native Tesseract (C++) for text extraction from images, integrable with ChatGPT Desktop and other MCP clients.

MCP server for intelligent circuit diagram recognition, enabling detection of components, text, topology, and netlist from circuit images.

An MCP server that provides local image recognition on macOS, including OCR, image classification, comprehensive image analysis, and screenshot recognition, all via Apple's Vision framework without any network requests.

Enables MCP clients to perform OCR on images via multimodal models through a remote server.

Provides image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.

A Model Context Protocol server that gives AI assistants OCR with first-class accuracy handling and evaluation. It wraps three engines behind one interface and can score and compare them.

OpenAI-compatible vision recognition MCP server that lets MCP clients see images by routing them to any OpenAI-compatible vision model.

Extracts text from images using Tesseract OCR with support for local files, URLs, and raw image bytes. It provides production-grade OCR capabilities and multi-language support through the Model Context Protocol.

Wraps Baidu's Unlimited-OCR model as MCP tools for Claude Code, enabling unlimited local OCR without API costs, supporting images and multi-page documents.

Provides advanced OCR capabilities with multiple state-of-the-art backends (DeepSeek-OCR, Florence-2, DOTS.OCR, PP-OCRv5), supporting document processing, scanner integration, and multi-format output with layout preservation.

Converts screenshots of web pages into structured Markdown using GLM-OCR (Zhipu), with tools for OCR on images, webpages, and health checks.

OCR images or pdfs, locally or by URLs by using Mistral OCR API (paid)

Identifies anime characters and works from illustrations, and traces back to Pixiv originals, artists, or animation screenshots using vision models and SauceNAO/Trace.moe.

Enables image analysis and recognition through multiple LLM vision models (Gemini, GPT-4o, Qwen-VL, Doubao) by accepting image URLs or Base64 data and returning text descriptions or answers to questions about the images.