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466,466 tools. Updated 2026-08-19 15:30

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

  • Extract all embedded images from Excel files using dual extraction strategy, returning base64-encoded images for AI visual analysis.
    MIT
  • Extract readable text from one or more images—screenshots, documents, diagrams, error dialogs—with labeled sections for multi-image inputs.
    MIT
  • Extract structured JSON data from images such as forms, receipts, and invoices. Provide an optional schema to control field names for precise output.
    MIT

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  • Extract a color palette from images on any public URL to generate design tokens, theme components, or check accessibility contrast.
    MIT
  • Extract plain text from any public URL. Returns JSON output with the text content for further use.
    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
  • Extract text from PDFs using a local file path or URL, including paywalled or bot-protected sources, for appraisal or data extraction.
    MIT
  • Extract text from files in a directory or single file. Supports text, PDF, DOCX, XLSX, PPTX, audio, video, and images. Optionally generate AI summary of combined content.
    MIT
  • Answer questions about images by analyzing their content. Use it to read text in screenshots, describe photos, compare images, or extract data from charts.
    MIT
  • Extract a webpage's title, headings, links, images, and text content via static HTML fetch. Provide the URL to get structured page data without JavaScript rendering.
    MIT