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

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

A server that enables OCR capabilities to recognize text from images, PDFs, and Word documents, convert them to Markdown, and extract key information.

Enables converting Markdown text into clean HTML for headings, lists, code blocks, tables, links, and images, with optional full-document wrapping via x402 micropayments.

A Python MCP server for invoice and receipt processing that uses OCR technology to extract data from PDFs and images, offering AI assistants the ability to process, extract text from, and merge invoice documents.

Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.

Offline PDF tools from the LaserPDF desktop app: extract and search text, OCR scanned pages (English and Turkish), redact text so it is removed from the file, remove hidden metadata, export tables to Excel, and merge, extract or rotate pages.

Enables agents to perform full-text search and read Hermes Agent documentation offline from a local cache, without scraping the site.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

Enables scanning documents via network (eSCL) or USB (WIA/SANE) scanners, returning inline images, OCR text, or saved PDFs for Claude to read.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Enables vision LLMs to read PDFs by automatically detecting text corruption and switching between text extraction and image rendering modes, while preserving reading order and filtering unnecessary images to prevent token overflow.

Converts documents to clean Markdown for AI agents from a URL or base64 — no API key, built for remote hosting. Supports PDF (tables preserved as Markdown/CSV/JSON), DOCX, PPTX, XLSX, EPUB, HTML and CSV; scanned PDFs and images go through offline OCR. Includes full-text search, page-range reading, metadata inspection, PDF split/merge and image export, with SSRF-protected fetching, 30 MB limits and

A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.

Provides local, offline searchable access to Roku and BrightScript development documentation via MCP tools and resources, including full-text search, sectioned reading of large docs, and background syncing from the upstream repo.

Enables precise extraction of PDF content, including text coordinates, vector shapes, images, and on-demand raster rendering, for use cases like reconstructing design files.

Teaches AI coding agents how to reason correctly about MetaMask Embedded Wallets / Web3Auth architecture, SDK choice, key derivation, auth flows, and common integration pitfalls.

Enables offline, real-time search of Apple Developer Documentation from Xcode's local index, returning full text, code examples, availability, and framework listings without network calls.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

stdio server to read markdown with images or index markdown headings from a file, folder or URL