"How to extract text from images" matching MCP servers:

Enables MCP clients to extract validated typed records from unstructured text using named schemas, with schema listing and extraction tools. It returns validated JSON or tool errors, optionally using an offline parser or an OpenAI-compatible model with retries on validation failures.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

Enables LLMs to search and retrieve exam problems, solutions, and answers from the СДАМ ГИА educational platform across multiple subjects. It supports fuzzy text matching, catalog browsing, and structured data retrieval to assist with academic study and test preparation.

MCP server that enables searching and retrieving Czech university theses from theses.cz, including full-text search, metadata, and direct PDF downloads with optional cookie-based authentication.

Enables searching and reading of AI/ML papers from conference proceedings and arxiv, with tools for full-text search, table of contents, and content grep.

Enables AI agents to recruit real humans for evaluation tasks like surveys, A/B tests, and ratings on text, images, audio, and video, returning aggregated results directly into the conversation.

Enables searching biomedical images (X-rays, CT/MRI, clinical photos, etc.) from the Open-i database using natural language queries, returning image results as Markdown links.

Enables searching live job postings, aggregating labour-market slices, and reporting how long listings have been open, with filters for titles, location, salary, and more.

Searches and retrieves academic papers from open access sources like arXiv, Semantic Scholar, and PubMed, with full text access via arXiv PDFs, PubMed Central, and Unpaywall.

MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.

Enables programmatic access to EndNote .enl libraries, allowing users to list, search, and extract full text from bibliographic references and their attached PDFs through MCP tools.

Enables agents to gather topic-level evidence from Bilibili through search, comments, transcripts, danmaku, images, frames, audio transcription, and reusable source/video registries. Supports a reproducible workflow for dual-axis source grading, surfacing conflicts, and declaring retrieval gaps.

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

Extracts structured JSON data from unstructured text using predefined schemas for receipts, invoices, resumes, and emails. It allows users to transform messy text into organized data through built-in or custom-defined fields.

A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.

Enables writers to research and verify news stories, extract facts with their sources attached, mine SEO keywords, receive a drafting brief, and audit their finished draft for weak spots and AI-sounding phrasing. It then assembles the publishing pack, NewsArticle and FAQPage schema, and SEO validation report around the text — without writing the prose itself.

Enables MCP clients to inspect PDF structure and extract object-level data such as characters, words, tables, images, fonts, and metadata, with JSON/CSV export and image retrieval.

Read-only MCP server for your local Zotero library. Browse collections, inspect paper metadata, and extract full-text from PDFs via FastMCP tools.

MCP server that lets AI assistants like Claude Code and Codex drive the co-scientist engine to generate, review, rank, and evolve scientific hypotheses via an Elo tournament.