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

Enables text extraction from images and PDF files using the ZhipuAI GLM-OCR API. It allows users to process documents through local file paths or base64-encoded data for high-quality OCR results.

Provides OCR (Optical Character Recognition) capabilities through MCP, including text extraction and document layout parsing to Markdown. Supports multiple PaddleOCR models like PP-OCRv5, PP-OCRv6, and PP-StructureV3.

Provides offline, high-accuracy OCR capabilities for images and PDFs using macOS's built-in Vision framework. Supports multi-language text extraction with intelligent block aggregation for tables and paragraphs, outputting structured JSON data suitable for document reconstruction.

Provides tools for image, audio, and video recognition using Google's Gemini AI through the Model Context Protocol.

Enables MCP-compatible coding agents to control a posable, rigged stickman character by setting joint angles and facial expressions, and to render still frames or full animations as SVG, PNG, GIF, or MP4.

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.

Enables high-performance audio transcription using Faster Whisper with CUDA acceleration, supporting single and batch audio file processing with multiple output formats (VTT, SRT, JSON).

Provides access to OpenRouter.ai's diverse model ecosystem for text chat and image analysis capabilities, with support for multimodal conversations and automatic image optimization.

Enables AI assistants to analyze images from URLs or local files using xAI's Grok API. Provides detailed image descriptions, technical metadata extraction, and optical character recognition (OCR) capabilities.

Enables creating real Scratch 3 projects from natural language prompts, producing editable .sb3 files with sprites, scripts, sounds, and backdrops.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.

Exposes ocrmypdf as a single tool for OCR-ing scanned PDFs, with automatic PATH handling for Tesseract and Ghostscript on Windows to ensure compatibility with Claude Desktop.

OpenAI Sora AI video generation with text-to-video, image-to-video, character reuse across scenes, and async webhook callbacks.

Enables local creation of 9:16 videos from user-authorized images, with background music, OCR keyword highlighting, and annotation animations through MCP tools.

Extract invoices and contracts from text or Markdown into typed JSON with Mistral. Optional OCR supports PDFs and images when your account has access and quota. Six tools by default: documents, OCR, chat, vision, code completion and transcription. Additional API tools via explicit profiles. Runs over stdio or Streamable HTTP. Community-maintained; bring your own Mistral API key.

Convert, compress, merge, split and OCR PDFs plus 100+ file formats (Word, Excel, images, ebooks, video) right inside your AI agent. Exposes 126 GuruPDF tools over MCP — works with Claude, Cursor, VS Code, Windsurf, or any MCP client.

Enables local-first video understanding by extracting metadata, transcripts, keyframes, OCR, and timeline data, and supports sorting shoot folders by topic and quality.

Convert files between 400+ image, video, audio, document, spreadsheet, ebook, archive and font formats, with OCR. A thin stdio client for the hosted Convert.Online REST API — it converts nothing itself and no file passes through the process.

Provides AI-powered image analysis and OCR capabilities using the Kolosal Vision API. Supports analyzing images from URLs, local files, or base64 data with natural language queries for object detection, scene description, text extraction, and visual assessment.