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

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

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.

An MCP server that gives text-only LLMs like DeepSeek vision capabilities by OCRing images, PDFs, Office documents, and text files into pure text. It provides tools like read_document and ocr_image to enable file analysis.

An AI-powered MCP server that extracts structured data from Indian identity documents (Aadhaar, Passport, PAN, Driving License) using OCR, enabling Claude Desktop to read and process document images locally.

Enables natural language queries about the technologies behind websites and the companies running them, using the StackScan Tech Lookup API. Includes tools for domain technology lookup, company details, technology usage stats, and batch company lookups.

Enables read-only search and analysis of your local Zotero library, including full-text PDF retrieval with OCR fallback, annotations, and cross-item comparison for synthesis.

Company technographics: search 760,000+ companies by the technologies they use — with direction of change (adopting / replacing / evaluating) — enrich any domain with firmographics and hiring signals, and browse a 10,000+ technology catalog. Remote server at https://api.echoloc.ai/mcp (Streamable HTTP); free API key: 100 requests/month, no card. Docs: https://echoloc.ai/for-agents

Provides advanced analytical, research, and natural language processing capabilities through a Model Context Protocol server, enabling dataset analysis, decision analysis, and enhanced NLP features like entity recognition and fact extraction.

Fast, local PDF parsing as an MCP server with text extraction, bounding boxes, OCR, and visual citations. No cloud or API key required.

Scans job boards for keyword patterns that indicate buying intent, technology adoption, or team expansion. Returns structured signal data for outbound targeting.

Provides high-fidelity OCR for scientific PDFs using Meta's Nougat, with output format control and settings for agent workflows.

Search source-linked enterprise AI deployments by company, industry, technology and reported outcomes, then retrieve supporting case details. This runnable stdio adapter connects to the hosted AIUseCaseHub MCP, with four live tools and a limited public preview requiring no API key.

Enables document and image parsing to extract text, tables, and formulas from PDFs, screenshots, and scanned documents. Features OCR capabilities, table recognition, LaTeX formula conversion, and MLX acceleration optimized for Apple Silicon.

MCP server for Korea's NTIS (National Science and Technology Information Service) operated by KISTI. Search national R\&D projects, public announcements, and research programs.

Provides AI agents with access to US patent data through 16 tools for search, citation analysis, technology trends, and portfolio comparisons via the free USPTO PatentsView API.

Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.

Enables AI agents to access Indonesian Stock Exchange market data, including Level 2 orderbooks, bandarmology, financials, chart pattern recognition, and quantitative risk budgeting.

A Model Context Protocol server that enables Claude and other LLMs to interact with the Drama Corpora Project API for analyzing dramatic texts, character networks, and play information across different languages and periods.

Enables reading and analyzing Word documents with advanced features including table extraction, OCR image analysis, full-text search, and intelligent caching for optimized performance on large documents.