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

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

Enables AI agents to extract text from Brazilian court case PDFs and images fully offline, checking legibility, OCR-ing only the pages with corrupted fonts, and returning page-level text labelled as native text or OCR with sheet numbers ready for citation. Supports single pages, whole files, and batch folders of up to 50 PDFs per call.

Enables OCR-based text, table, handwriting, and formula recognition from images via MCP, supporting local files and URLs for integration with AI assistants.

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.

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.

Converts screenshots of web pages into structured Markdown using GLM-OCR (Zhipu), with tools for OCR on images, webpages, and health checks.

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

Enables MCP clients to perform OCR on images via multimodal models through a remote server.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

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

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.

Enables AI agents to repair OCR-mangled Japanese dates only when calendar validation confirms the corrected result, and to check individual dates against their era ranges.

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 agent frameworks to invoke OCR as a structured tool, supporting single images, multi-page images, and PDFs via local Transformers or remote vLLM/SGLang backends.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

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.

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.

Enables OCR of scanned PDFs and images, returning searchable PDFs, Markdown, and JSON with block coordinates, with optional proofreading to correct OCR errors. Supports uploads via web console, public URL, or one-time token, and exposes tools for job status, page text, document listing, and deletion.

Provides OCR capabilities for images and PDFs using Mistral AI's OCR API, supporting both local files and URLs with output in markdown or JSON format.

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.

Local OCR (RapidOCR) plus optional Qwen-VL for image summarization, supporting both file paths and clipboard images.

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.

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.

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 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.