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206,568 tools. Last updated 2026-06-17 14:27

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

  • 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
  • Check the status of an asynchronous receipt extraction job. Provide the job ID to get the current status: pending, processing, completed, or failed.
    MIT
  • 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

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    Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.
    Last updated

Matching MCP Connectors

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  • Create and manage trackable QR codes with scan tracking, analytics, and dynamic URL updates.

  • Extract data from receipt images and generate expense reports as PDF, DOCX, or ODT in one step, using AI extraction and customizable templates.
    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 PDF and scanned documents to CSV files, preserving layout and table structure for data extraction.
    MIT
  • Convert PDF and scanned images to text while preserving layout. Supports URL input, optional page ranges, and OCR language selection.
    MIT
  • Convert PDFs and scanned images to JSON while preserving text, fonts, images, vectors, and formatting using the /pdf/convert/to/json2 endpoint.
    MIT
  • Extract the table of contents from a PDF attachment as a hierarchical markdown list with page numbers, helping you quickly orient in a paper before fetching full text.
    MIT
  • Converts PDF to reading-order Markdown for LLM consumption. Reconstructs up to 2 content columns, infers headings from font size, detects lists; tables rendered as plain text.
    MIT