"PDM" matching MCP servers:

Extracts images from PDF files, allowing LLMs to access and analyze embedded images from local PDF documents.

An MCP server providing comprehensive PDF processing capabilities with 18 tools for text extraction, OCR, image conversion, metadata management, and optimization.

Enables AI agents to perform local-first PDF processing entirely on-device, including OCR write-back to make scans searchable, unlocking and re-encrypting PDFs, splitting/merging/rotating pages, and compressing files, with no cloud calls or file uploads.

Enables PDF reading through MCP with text extraction, Chinese OCR for scanned documents, page rendering, and keyword file search from any compatible MCP client.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Enables PDF document processing including text, image, and table extraction, as well as intelligent classification and similarity analysis across multiple languages.

Eyes for text-only LLMs: decodes screenshots into exact structured text (words, coordinates, sizes, colors) using pure-code CV and OCR. Enables text-only models to reason about UI layouts without vision models or VRAM usage.

Enables OCR text extraction from images and PDFs via MCP tools, allowing multiple devices on a local network to use PaddleOCR without installing it locally.

Enables AI-powered PDF editing and generation via natural language prompts using Google Gemini, with local storage and OCR for searchable text.

Inspects local PDF files, extracting text, counting pages, and performing OCR on scanned PDFs using standard libraries.

Provides tools for extracting text, performing OCR on scanned documents, and retrieving images from PDF files. It enables Model Context Protocol clients to process PDF content page-by-page through specialized extraction tools.

A PDF processing server that extracts text via normal parsing or OCR, and retrieves images from PDF files through the MCP protocol with a built-in web debugger.

Provides OCR capabilities to extract text from PDF documents using Tesseract, with support for multiple languages including English and Simplified Chinese.