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
700,617 tools. Updated 2026-10-25 03:31
"Tools and methods for extracting tables from scanned PDFs" matching MCP tools:
- 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
- Pull tables from text PDFs as JSON, CSV, or XLSX for analysis. Select pages and output format; scanned PDFs need OCR first.MIT
- Extract tables and forms from PDFs or images, converting them to Markdown for easy use. Ideal for financial statements, data sheets, and structured forms.MIT
- Extract text from text-based PDFs, from selected pages or entire document. Provides pure text output for search, analysis, or data extraction.MIT
- Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images of detected elements with metadata from academic papers or any PDF URL.Apache 2.0
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- Scan PDFs, images, and text files for PII and credentials before sending them to an LLM. Extract text with OCR for screenshots and scanned pages.MIT
- 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
- Convert a PDF document to clean Markdown, preserving headings, tables, lists, and reading order. Accepts a URL or base64, with options for page selection and large document handling.AGPL 3.0
- 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
- 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
- Extract text from PDFs that have a text layer (born-digital). Use page ranges and character caps for selective extraction.MIT
- Convert PDF files into editable Word documents so you can update and reuse content; run OCR first on scanned PDFs.MIT
- Extract tables from tagged PDFs: walks structure tree to pull cell text, outputting as Markdown or JSON for structured data.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
- Convert tables from digital PDF bank statements, invoices, or bills into CSV, JSON, or Excel, with PII redacted by default. Scanned PDFs are not supported.MIT
- Download a Drive file and return its extracted text, supporting Google Workspace formats, Office docs, PDFs, and images.MIT
- Extract text from PDF, HTML, or text attachments to read their contents. Returns null for binary or scanned files; use search_documents for relevant portions of long reports.MIT
- Convert any PDF to an editable Microsoft Word .docx document. For scanned PDFs, use OCR first to improve conversion quality.MIT
- Classify a local PDF as text-based, scanned, image-based, or mixed, returning confidence and exact pages needing OCR, without extracting text.MIT
- Retrieve and extract clean text from web pages and PDFs, including JavaScript-rendered content, with automatic fallback to alternative extraction methods.MIT