Upload pathology or blood test images and PDFs to JondaX for AI-powered OCR and biomarker extraction, returning an uploadId to track results.
MIT
534,150 tools. Updated 2026-09-08 13:07
"Tools or methods for performing OCR on PDFs" matching MCP tools:
- Force OCR text extraction on scanned PDFs when normal text extraction returns garbled or empty text.MITDestructive
- Read text content from PDF, TXT, MD, DOCX, or CSV files. Supports page ranges and auto-OCR for scanned PDFs.MITDestructive
- Extract text from USPTO petition documents using hybrid extraction: free PyPDF2 for text-based PDFs, Mistral OCR for scanned documents. Analyze legal arguments, issues, and patterns in petition decisions.MIT
- Extract text from local images and PDFs with Apple Vision OCR, returning plain text or structured blocks with bounding boxes. Works offline on macOS.MIT
- Convert PDFs, Office documents, HTML, and images to Markdown, with OCR and optional VLM image descriptions.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceEnables 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.8MIT
- AlicenseNot gradedqualityDmaintenanceProvides 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.Apache 2.0
Matching MCP Connectors
OCR for images and Korean ID documents
Read PDFs and images as markdown or text, with exact costs and hard spend caps. $0.75/1k pages.
- Extract text from PDFs located in Notion, shared mounts, local paths, or Drive without moving bytes over MCP. Supports OCR for scanned/image-only PDFs.MIT
- Retrieve all resources attached to a note, including OCR text from images and PDFs, to reveal content inside attachments.MIT
- Extracts plain text from vault PDFs, returning per-page content, full text, and metadata. Supports page range selection and flags image-only PDFs for OCR.MIT
- Retrieve the unique inbound forwarding email addresses for processing physical mail through OCR extraction.MIT
- Run OCR on scanned PDFs to add a searchable text layer using Tesseract, making the text copyable and searchable.MIT
- Search for text within wiki-hosted files such as PDFs and text documents. Specify a filename and query to retrieve matches with page or line numbers.MIT
- Extract text from scanned PDFs without a text layer. Use Tesseract OCR on selected pages, languages, and DPI settings.MIT
- Discover and access new tools, methods, or capabilities by searching the MCP Finder registry when you need functionality not currently available.-
- Extract text from images (JPEG/PNG) or single-page PDFs using Yandex Vision OCR. Supports printed, handwritten, table, and markdown models with language selection.MIT
- Convert any document (PDF, DOCX, PPTX, XLSX, CSV, JSON) to compact, AI-ready Markdown. Supports OCR for scanned PDFs to reduce token usage.MIT
- Extract text verbatim from images or PDFs with Gemini multimodal OCR. Returns raw text as Markdown, preserving structure without summarization.Apache 2.0
- Extract text from PDF documents (single or multi-page) using Yandex Vision OCR with asynchronous recognition. Supports models for page, table, handwritten, and markdown output.MIT
- Extract text from images and PDFs, automatically splitting large PDFs or compressing images to stay within size limits.MIT
- Convert base64-encoded local PDFs into markdown for AI processing. Handles text-based PDFs; scanned PDFs without OCR return a warning and empty output.AGPL 3.0
- Extract text and formulas from scientific PDFs using OCR. Converts tables and multi-column layouts to clean Markdown for further processing.GPL 3.0