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759,038 tools. Updated 2026-11-08 05:48

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

  • Extract readable text from images, screenshots, photos, and scanned PDFs via OCR. Returns reading-order text with confidence and optional bounding boxes for receipts, invoices, and forms.
    MIT
  • Extract text and metadata from a public PDF URL, up to 20 MB and 200 pages. Use for text-based PDFs; scanned PDFs need OCR.
    MIT
  • Convert uploaded documents, spreadsheets, presentations, PDFs, and images to another format; OCR extracts text from scanned PDFs and pictures.
    MIT
  • Read local PDFs and images into text or Markdown. Use native PDF text first, OCR only where needed, and send the result to your MCP client.
    AGPL 3.0

Matching MCP Servers

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    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.
    8
    44 PyPI
    MIT
  • A
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    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.
    Apache 2.0

Matching MCP Connectors

  • Research methods for AI assistants: study design guidance, R and Python code, and citations

  • Hebrew and English OCR for PDFs and images: text, key fields and tables, page by page.

  • 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
  • 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
  • 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
  • Extract plain text from a PDF by URL or base64 for AI agent use. Returns text up to a character limit; works on text-layer PDFs only, without OCR or table layout.
    MIT
  • Run OCR on scanned PDFs to add a searchable text layer using Tesseract, making the text copyable and searchable.
    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.
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  • 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
  • Access guidelines and best practices for Webflow tools. Use this tool first to understand recommended workflows before performing actions.
    MIT