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719,317 tools. Updated 2026-10-29 13:30

"High-Quality PDF Extraction to Text with Tokenization and Accurate Processing of Complex Layouts" matching MCP tools:

  • Execute multi-step web scraping workflows with AI automation, navigating websites, interacting with forms, and extracting structured data for complex scenarios requiring user simulation.
    MIT
  • Submit a document URL for automatic classification, structured field extraction, PII masking, and quality scoring. Returns a job ID for tracking processing status.
    MIT
  • OCR scanned PDF pages into a searchable PDF with an invisible text layer, and return recognized text from up to 10 selected pages.
    MIT
  • 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
  • Retrieve one page of documents and current extraction data for a Suparse task, including while processing; use cursor to paginate and refresh later.
    MIT

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  • PDF, DOCX and image URLs to clean, LLM-ready Markdown or text, with OCR for scanned pages.

  • PDF URL → extracted text for bots. Free try then prepaid TEST. https://pdf.kymac.co

  • Submit a receipt image or PDF for asynchronous AI extraction of receipt data. Receive a job ID to poll for status, with optional webhook notification. Returns extracted data for further processing.
    MIT
  • Submit a local document to start background extraction and receive a task ID immediately after upload, without waiting for processing. Use it to kick off PDF or image parsing workflows.
    MIT
  • Check the status of an asynchronous receipt extraction job. Provide the job ID to get the current status: pending, processing, completed, or failed.
    MIT
  • Check an OCR document's processing status, then retrieve its extracted text or searchable PDF once ready. Use the document ID from an upload or document list.
    MIT
  • Permanently delete a FastOCR document and its stored original, text, and searchable PDF files. Processing documents cannot be deleted; local files remain untouched.
    MIT
    Destructive
  • Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.
    MIT
  • Retrieve Echo3s technical specifications—supported formats, AI processing details, output quality, credit system, and platform info.
    MIT
  • Specify a screen region with device pixel coordinates to extract text via OCR, returning JSON with text, confidence, and bounding box for targeted analysis.
    MIT
  • Analyzes bit-plane complexity to detect hidden data embedded using BPCS steganography, identifying abnormally high complex block ratios.
    MIT
  • Convert a local PDF file into an editable PowerPoint (PPTX) presentation. Provide the file path and optionally set quality, language, OCR, and merge preferences.
    MIT
  • Securely replaces sensitive plaintext values with vault tokens, enabling reversible detokenization while preserving data utility. Supports deterministic tokenization for consistent token mapping.
    GPL 3.0
  • Convert scanned PDFs into searchable, editable documents using OCR. Choose quality, language, and skip OCR when text is already digital.
    MIT
  • Convert a local PDF file into an Excel XLSX spreadsheet. Supports OCR, merging sheets, and extraction quality settings to suit your data needs.
    MIT