Read the full text content of a Bear note using its note ID or exact title. Supports direct title lookup, eliminating the need to search first. Includes text extracted from attached images and PDFs with clear labeling.
131,177 tools. Last updated 2026-05-07 20:34
"A tool for uploading and analyzing documents, extracting text from PDFs, and conducting research" matching MCP tools:
- Download a PDF from a URL and extract all text content page by page. Use this to read full text of financial documents such as annual reports.MIT
- Convert scanned PDFs and images into text-searchable documents by running OCR and adding an invisible text layer for full text search.MIT
- Find recently modified documents in RSpace by specifying a timeframe and optional text search to locate current research data.AGPL 3.0
- 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
- Generate carousel slides from content, URLs, or topics for LinkedIn, Instagram, and Threads by extracting key points and creating formatted PDFs or PNGs.MIT
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- Retrieve Spec3 racing documents with full text and visual content like diagrams and tables from PDFs stored in S3. Specify page ranges and include images to preserve formatting.MIT
- Download a Drive file and return its extracted text, supporting Google Workspace formats, Office docs, PDFs, and images.MIT
- Search for text inside wiki-hosted files (PDFs, text files) and retrieve matches with page or line numbers.
- Extract raw text content from PDFs, web pages, pasted text, or YouTube transcripts for content export without AI processing.MIT
- Retrieve attached files from Kaltura videos to access supplementary materials like PDFs, presentation slides, or documents. Returns file content or download URLs for specific attachment IDs.MIT
- Extract text from PDFs and images as structured Markdown. Handles complex layouts, tables, handwriting, and math notation. Pay per page with Bitcoin Lightning.MIT
- Retrieve raw text content from PDFs, web pages, pasted text, or YouTube transcripts for content export without AI processing.MIT
- Extract raw text content from PDFs, web pages, pasted text, or YouTube transcripts for content export without AI processing.MIT
- Extract text content from PDF documents via URL using PyMuPDF. Handles multi-page PDFs and returns extracted text, page count, and metadata with automatic USDC micropayments.MIT
- Extract links and images from Markdown documents to validate URLs and analyze content structure. Returns a JSON array with link text, URLs, line numbers, and types for SEO auditing and reference checking.MIT
- Retrieve specific financial documents by ID to access content, metadata, and extracted PDF text for comprehensive market analysis.MIT
- Extract visible text and transcribe speech from videos to read on-screen content, captions, or spoken dialogue for analysis or accessibility.MIT
- Analyze documents through multi-phase research: map content, extract evidence, cross-reference sources, and synthesize findings with citations.MIT
- Extract and process images from file paths for visual content analysis, OCR text extraction, and object recognition. Supports screenshots, photos, diagrams, and documents in PNG, JPG, GIF, and WebP formats.MIT