"Tools or methods for performing OCR on PDFs" matching MCP servers:

Enables MCP clients to run OCR on local image files through a single long-lived PaddleOCR backend shared across clients, returning recognized lines as a Markdown table with optional coordinate and confidence columns.

Gives coding agents on-device OCR that turns images, PDFs and scans into Markdown with tables, plain text or JSON. Also fills a JSON Schema from a document using a local language model, with all processing kept on the machine.

Enables OCR on images and PDFs, including full-page OCR, region OCR by description or bounding box, and caching with summary capabilities.

Enables OCR-enabled PDF to Markdown conversion in Claude Code, with per-page inspection and hybrid handling of text, scanned, mixed, and blank pages via a local vision-model endpoint.

Provides structured OCR with verified bounding boxes using the space-ocr API. Allows extraction of structured fields from document images and listing of built-in templates.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Extracts text and images from PDFs and image files using the Mistral OCR API, with a security sandbox for file writes.

Enables AI agents to convert images and PDFs, including large scanned books, into Markdown through GLM-OCR, with support for long-image slicing, progress tracking, and asynchronous OCR tasks.

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.

Extracts text content from PDFs and images using Mistral's OCR API, enabling OCR capabilities in MCP-compatible clients like Cursor and Claude Desktop.

Enables OCR processing of local files and public URLs using Mistral OCR. Provides tools for health checks, key management, page listing, and generating Markdown output.

Enables an agent to rebuild a project's source tree from a screen recording of IntelliJ IDEA, then inspect the original video frames for doubtful lines, correct them, and run syntax/build verification. It exposes OCR and review tools so the recovered files can be checked and repaired until no flagged lines remain.

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.

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

Provides an OCR tool that extracts text from images using macOS's built-in Vision framework, returning text segments with confidence scores and bounding boxes.

Exposes Semgrep as deterministic, rule-matching analysis tools over MCP so a code-review agent can scan only the lines changed in a diff, scan whole files on demand, and check analyzer availability, version, ruleset, and limits. Results are returned as compact per-finding lines with source snippets suitable as comment anchors, along with counts of suppressed out-of-diff matches.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

Extracts text from images and browser screenshots locally using Tesseract.js, without sending image data to the LLM.

Exposes local Umi-OCR v2 capabilities to AI agents via MCP, enabling image text extraction, batch OCR, PDF OCR, and status checks without manually starting the service.

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 agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables automated OCR and Thai tax invoice processing from PDFs and scanned images, including parsing key invoice fields, three-tier routing, SQLite storage, and human review workflows via MCP tools.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables Claude Code, Cursor, and Codex users to orchestrate plan/build/review workflows across host or CLI models with a spec gate, tool vetting, hard per-run and per-day cost/token limits, safe defaults, and clear logs.

Serves read-only tools that let an agent inspect PDFs step by step: outline a document, search for text or figure values, read pages and tables in order, describe figures and chart data, and render page or block images, with every block cited to its page and bounding box. It also lists the PDFs available under a configured root folder, which it never reads outside of.

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.

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.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

An MCP server that enables Claude to perform OCR on local files using Mistral AI's document processing capabilities. It converts documents and images into markdown format for seamless analysis and interaction.

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.