Extract text verbatim from images or PDFs with Gemini multimodal OCR. Returns raw text as Markdown, preserving structure without summarization.
Apache 2.0
307,359 tools. Last updated 2026-07-28 04:33
"A tool to extract or read text and images from PDFs" matching MCP tools:
- Extract text from PDF files. Choose specific pages or extract all pages from text-based PDFs.MIT
- Extract text from files attached to monday.com board items for reading, summarizing, or analyzing content.MIT
- Read non-markdown vault files in their optimal format: images as viewable blocks, canvases as outlines, PDFs as structured text or page images, and raw text for other types.MIT
- Download and extract text from PDFs that return binary content in web fetch, enabling access to reports, bulletins, and circulars.Apache 2.0
- Download a file from Google Drive by providing its file ID. Returns binary content for PDFs, images, and other files.MIT
Matching MCP Servers
- Flicense-qualityDmaintenanceA Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.Last updated
- AlicenseBqualityDmaintenanceTurn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.Last updated655MIT
Matching MCP Connectors
URL to clean article markdown/text + metadata and links. Deterministic. $0.001/call via x402.
Web content extraction for AI agents. Pay per call with x402 (USDC on Base). No API key.
- Open and display file attachments from Todoist comments, including images, text files, and PDFs, using the file URL from the comment's fileAttachment field.MIT
- Extracts clean plain text from a URL using Tavily. Returns readable content for analysis, avoiding binary or structured data.Apache 2.0
- Retrieve your past render results including images, PDFs, and screenshots. Filter by template or batch, and paginate to navigate through results.Apache 2.0
- Create images from text descriptions. Choose size, style, model, and number of images to generate.MIT
- Add text annotations, images, and fill form fields in PDF and scanned PDF files. Update PDFs with comments, logos, or completed forms.MIT
- Create images from text prompts with customizable styles and variations.Apache 2.0
- Extract a color palette from images on any public URL to generate design tokens, theme components, or check accessibility contrast.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 structured content from PDFs, images, and Office files while preserving original formatting and layout using Upstage AI's document digitization API.MIT
- Extract text from PDFs with Y-coordinate reading order. Handle multi-column layouts and compact whitespace for Japanese forms to reduce token consumption.MIT
- Fetch a PDF from a URL and extract its text content with options for column reordering and whitespace compaction.MIT
- Read any file in the vault—text, binary, or image—with configurable encoding. Supports auto-detect, plain text, or raw base64 output.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
- 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