Extract text from image files or URLs using optical character recognition (OCR) with the Florence-2 MCP Server. Process images to retrieve text content efficiently.
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.
Remove hardcoded subtitles from videos using OCR technology. Detects and eliminates burned-in text while preserving original video content for MP4 and MOV files up to 2GB.
Extract text from images for document processing, receipt scanning, and text extraction using OCR technology. Supports both URLs and base64 encoded images.
Enables integration between MCP clients and the Handwriting OCR service, allowing users to upload images and PDF documents, check processing status, and retrieve OCR results as Markdown.
Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.