Extract text from files attached to monday.com board items for reading, summarizing, or analyzing content.
MIT
650,501 tools. Updated 2026-10-13 23:36
"Tools and methods for extracting text from PDF files" matching MCP tools:
- Read plain text files (source, config, Markdown, scripts, logs) from the local computer. Use offset and length to page through large files, with negative offset reading from the end.MIT
- Embed files in PDF/A-3b documents for Factur-X/ZUGFeRD e-invoices or any PDF needing machine-readable side-files.MIT
- Analyze suspicious files for malware using REMnux tools. Detects file type automatically and runs appropriate analysis tools with configurable depth levels for triage or comprehensive investigation.GPL 3.0
- Extract text from PDF, Word, plain text, and HTML documents, with OCR for scanned files.MIT
- Add text annotations, images, and fill form fields in PDF files. Modify scanned PDFs with links, shapes, and external content.MIT
Matching MCP Servers
- AlicenseNot gradedqualityAmaintenanceThe local PDF workflow for Claude Desktop and MCP hosts: fill, sign, merge, split, extract, and analyze PDFs without sending files to a web app.1 npm160MIT
- AlicenseAqualityCmaintenanceEnables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.838 PyPIMIT
Matching MCP Connectors
x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.
- PDF Text ExtractorOAuth
Extract text, pages and metadata from PDFs in bulk, with OCR for scanned files.
- Add LPM packages to your project by extracting source files for customization. Use for UI components, blocks, templates, and MCP servers.ISC
- 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
- Convert local files using 35+ tools like PDF to Word, merge PDFs, or URL to PDF. Saves output alongside input or in a specified directory.MIT
- Scan PDF and Markdown files in library folders to extract table of contents and create searchable indexes for quick retrieval.MIT
- Upload files into Velixar memory with full source provenance. Supported formats include PDF, Markdown, text, CSV, JSON, DOCX, and code files.MIT
- Extract text and embedded images from a PDF, saving them as separate text and image files for reuse.MIT
- Extract all text content from a PDF. Input the PDF as a base64-encoded string and receive the extracted text.MIT
- Converts PDF and scanned images into editable text while preserving layout. Supports OCR, page selection, and password-protected files.MIT
- Check if a PDF has a readable text layer or is a scanned image. Returns a verdict and per-page evidence so you know whether OCR is needed before extracting text.Apache 2.0
- Export Google-native files to Markdown, plain text, HTML, CSV, or PDF, returning paginated text or a saved PDF path for local access.MIT
- Download non-Google-native Drive files such as PDF, XLSX, TXT, or images; text files return in 50,000-character windows, and binary files save to a local path.MIT
- Ingest a document file locally by extracting its text and storing it as a recallable entity in memory. Supports plaintext, markdown, and structured text; DOCX and PDF require a specific build.MITDestructive
- Generate blank test PDFs for exercising PDF tools. Specify page count, title, and optional output path to create sample files on demand.Apache 2.0
- Fetch a PDF from a URL and extract its text content. Returns clean plain text, handling compressed and encrypted PDFs.MIT
- Compare PDF, DOCX, or TXT documents from local disk to see differences. Choose visual mode for a full document-review manifest or text mode for faster results; files up to 45 MB are supported.MIT