Answer questions about images by analyzing their content. Use it to read text in screenshots, describe photos, compare images, or extract data from charts.
MIT
685,683 tools. Updated 2026-10-22 20:34
"How to extract text from images" matching MCP tools:
- Extract raw text from base64-encoded PDFs or images for AI analysis such as summarization, claim checking, or structured extraction. Returns page count and text content.MIT
- Extract visible text from any webpage to access content, prices, and articles without clutter.MIT
- Extract text from text-based PDFs, from selected pages or entire document. Provides pure text output for search, analysis, or data extraction.MIT
- Create images from text descriptions. Choose size, style, model, and number of images to generate.MIT
- Extract text and embedded images from a PDF, saving them as separate text and image files for reuse.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.11 npmMIT
- AlicenseAqualityAmaintenanceText-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.158 PyPI1MIT
Matching MCP Connectors
- Image to Text OCROAuth
Extract text from PNG, JPEG, TIFF, WebP, BMP and GIF images with OCR in 27 languages.
Word .docx to text and tables. x402 $0.005 USDC, Base. As is, no warranty.
- Extract clean text and table markdown from images using AI vision. Simplifies OCR for web scraping and data processing.MIT
- Extract text from video URLs by downloading, converting audio to text, and saving transcripts in multiple formats for accessibility and analysis.ISC
- Extract a color palette from images on any public URL to generate design tokens, theme components, or check accessibility contrast.MIT
- Generate images from text prompts using OpenAI models. Choose from multiple output formats and settings to get custom images.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
- Extract markdown text from PDF or image files, with optional saving to disk as content.md and embedded images.MIT
- Extract markdown text from a publicly accessible PDF or image URL, and optionally save the output and images to disk.MIT
- Extract embedded images from a PDF file as base64-encoded data with metadata including dimensions and color space. Supports page range selection.MIT
- Extract plain text from text-like email attachments, including CSV, JSON, XML, Markdown, and HTML-stripped content, without handling base64 encoding. Works up to 512KB; use binary methods for PDFs or images.MIT
- Extract text from files in a directory or single file. Supports text, PDF, DOCX, XLSX, PPTX, audio, video, and images. Optionally generate AI summary of combined content.MIT
- Extract all embedded images from Excel files using dual extraction strategy, returning base64-encoded images for AI visual analysis.MIT
- Extract keyframe images from downloaded videos at regular intervals to analyze visual content without classification. Specify interval, format, and dimensions for raw frame output.-
- Extract PDF pages as images to analyze visual elements such as charts, diagrams, tables, and handwritten content that text extraction cannot capture.ISC
- Extract text from PDF, Word, plain text, and HTML documents, with OCR for scanned files.MIT
- Extract embedded metadata from generated PNG/JPEG images to retrieve UUID, parameter hash, generation settings, and verify database integrity.MIT