"Optical Character Recognition (OCR) Technology" matching MCP servers:

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 local MCP server that drives one disposable copy of VRoid Studio through the application's own managed API, exposing 86 tools for character parameters, textures, bounded makeup editing, hair authoring, Dress-up outfit assembly, and VRM export without mouse automation, OCR, or screen scraping. It also verifies installations into an isolated lab directory and guards the copy against writes outside that lab.

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.

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

Provides OCR services powered by Google's Gemini API to extract text from images via file paths or base64 strings. It enables high-accuracy text recognition and CAPTCHA processing through simple MCP tools.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

Enables AI assistants to solve CAPTCHAs using OCR text recognition, object detection, and slider position matching through the ddddocr library.

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.

An optimized Model Context Protocol server for document OCR processing using Mistral AI with support for high-performance batch operations and async connection pooling. It enables efficient extraction of text and tables from local files or URLs into structured markdown and HTML formats while minimizing token costs.

Provides intelligent OCR and PDF processing capabilities that automatically detect whether PDFs contain digital text or scanned images and apply appropriate extraction methods. Supports text extraction, OCR processing, structure analysis, and batch operations.

Enables scoped project discovery, deterministic rule and profile management, and durable automation with trigger/pause/resume/cancel and audit history for approved project contexts.

The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide

An MCP server for GitHub Copilot that enables reading and processing Excel workbooks (.xlsx) via Docker Compose. Users can extract data from entire workbooks or specific sheets by name or index, returning the information in JSON format.

Converts PDF files from local storage or URLs to structured Markdown format using Mistral AI's OCR API, preserving document structure and extracting images.

Enables LLM interaction with the Macau University of Science and Technology (M.U.S.T.) campus system, including automated login to Wemust and Moodle, retrieving class schedules, checking assignments and deadlines, downloading course materials, and managing course content.

Enables MCP clients to open optical lens files, read and modify parameters, run first-order, spot, MTF, and wavefront analyses, export native plots, and save results through a local headless Windows COM session.

Enables fast text classification using Model2Vec static embeddings with 10 default categories (technology, business, health, etc.), supports custom category management, batch processing, and provides both local and remote deployment options.

A Model Context Protocol server that enables large language models to access the latest trending news headlines and detailed content across various categories including recommended, domestic, technology, and sports news.

Enables LLM applications to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and customizable voice parameters.

Enables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.