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
260,863 tools. Last updated 2026-07-05 08:54
"Tools or methods for performing OCR on PDFs" matching MCP tools:
- 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 scanned or image-only PDFs using OCR. Use when standard PDF reading returns no text.MIT
- Retrieve all resources attached to a note, including OCR text from images and PDFs, to reveal content inside attachments.MIT
- Retrieve the unique inbound forwarding email addresses for processing physical mail through OCR extraction.MIT
- Run OCR on scanned PDFs to add a searchable text layer using Tesseract, making the text copyable and searchable.MIT
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- Search for text inside PDFs and text files hosted on the wiki. Returns matches with page or line numbers.MIT
- Discover and access new tools, methods, or capabilities by searching the MCP Finder registry when you need functionality not currently available.
- 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
- Convert a base64-encoded PDF to markdown text. Scanned PDFs without OCR return empty markdown with a warning.AGPL 3.0
- Extract text verbatim from images or PDFs with Gemini multimodal OCR. Returns raw text as Markdown, preserving structure without summarization.Apache 2.0
- Extract text from PDF documents (single or multi-page) using Yandex Vision OCR with asynchronous recognition. Supports models for page, table, handwritten, and markdown output.MIT
- Extract text and formulas from scientific PDFs using OCR. Converts tables and multi-column layouts to clean Markdown for further processing.GPL 3.0
- Re-queue a document for OCR processing when initial OCR failed or the document was updated.MIT
- Force OCR text extraction on scanned PDFs when normal text extraction returns garbled or empty text.MIT
- Extract text from scanned PDFs using OCR. Supports page ranges, multiple languages, and adjustable DPI for balancing accuracy and performance.MIT
- Read text content from PDF, TXT, MD, DOCX, or CSV files. Supports page ranges and auto-OCR for scanned PDFs.MIT
- OCR handwritten answer PDFs into markdown with confidence tiers for grading.MIT
- Discover available OCR processing tools for extracting text and tables from documents into structured formats.
- Perform OCR on a document or specific page range in a collection. Configure language, typeface, and model for recognition.Functional Source , Version 1.1, MIT Future