Extract text from images using OCR technology. Convert image content into editable text by providing an image URL.
MIT
134,441 tools. Last updated 2026-05-23 14:52
"Tools for Extracting Structured Data from PDFs Using OCR" matching MCP tools:
- 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 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 PDFs and images as structured Markdown. Handles complex layouts, tables, handwriting, and math notation. Pay per page with Bitcoin Lightning.MIT
- Convert local files into structured JSON or Markdown data using AI-powered transformation strategies for documents, PDFs, and images.
- Extract text from images and PDFs using OCR. Supports 20+ languages including English, Chinese, Japanese, Korean. Accepts PNG, JPG, GIF, BMP, PDF, TIFF.MIT
Matching MCP Servers
Structured-shofficial
Alicense-qualityCmaintenanceMCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.Last updated2Apache 2.0- AlicenseAqualityAmaintenanceA fully autonomous patent data marketplace for AI agents, providing highly structured JSON datasets with strategic insights. Supports instant M2M transactions via ROSE on the Oasis Network.Last updated104MIT
Matching MCP Connectors
A fully autonomous, Agent-to-Agent (A2A) patent data marketplace powered by the Model Context Protocol (MCP) and A2A standards. This server provides highly structured, AI-optimized JSON patent datasets curated for autonomous R&D agents, LLMs, and Quants. Currently exclusively hosting AI-ready patents from IPC/CPC Sections G (Physics & Computing) and H (Electricity).
Autonomous A2A marketplace providing AI-ready, structured USPTO patent JSON datasets. Features IPC/CPC Sections G (Physics/Computing, e.g., G01 Sensors, G06 AI/ML) and H (Electricity, e.g., H01 Semiconductors, H04 5G). Enables instant M2M data delivery via automated on-chain payment verification. Networks: Base (USDC), Polygon (USDC), Oasis (ROSE).
- Build a searchable visual index for videos by extracting frames and analyzing content with OCR and computer vision to extract text and enable semantic frame retrieval.MIT
- Extract structured data from any URL using a JSON schema. Define the data structure you need and get organized results from web content.MIT
- Extract structured data from text content using JSON Schema. Guarantees structured output by leveraging Gemini's response schema for reliable data extraction.MIT
- Read text content from PDF, TXT, MD, DOCX, or CSV files. Supports page ranges and auto-OCR for scanned PDFs.MIT
- Extract full text from Australian legislation and case law documents using OCR for scanned PDFs. Supports multiple output formats including JSON, text, markdown, and HTML.
- Extracts vehicle identification number (VIN) from images using OCR. Provide a direct image URL to get the VIN.MIT
- Retrieve Bitcoin Ordinal inscription data and save images locally for analysis. Use this tool to fetch technical metadata and prepare files for OCR processing.MIT
- Extract full text content, metadata, and structured information from specific web URLs for detailed content analysis and data retrieval.
- Extract text and metadata from PDF documents using OCR, returning structured markdown content with bounding boxes and page data for AI processing.MIT
- Extract structured data or text from web pages using specific instructions. Define what information to collect from the current page for automated data extraction.
- Extract structured data from webpages using custom schemas to organize information for analysis or processing.MIT
- Extract structured data or text from web pages using specific instructions to target and retrieve information from the current page.Apache 2.0
- Generate structured memories from text or explicit memory objects for a user using the Omi MCP Server. Ideal for organizing and extracting meaningful information from emails, social posts, or other sources.
- Extract text from images for document processing, receipt scanning, and image text extraction using OCR technology. Supports both URLs and base64 encoded images.