Enables pure text LLMs to understand images by acting as a proxy to vision models via OpenAI-compatible APIs. Supports local files, URLs, and base64 inputs for image analysis.
Provides offline, privacy-preserving image recognition, OCR, and scene description for AI assistants via the Model Context Protocol, with Vulkan-accelerated local processing.
Enables text-only LLMs to understand images by converting them into text descriptions, supporting multiple vision backends like cloud APIs, local models, and OCR engines.
Enables AI assistants to locally process images with tools for cropping, zooming, enhancement, edge detection, segmentation, and text region extraction, all without external API keys. It uses PIL, OpenCV, and scikit-image for robust image analysis.
Enables text-only LLMs to understand images by converting them into structured text grids (colors, textures, regions) and OCR via MCP tools. Runs locally with zero external dependencies, providing a skill-based methodology for detailed image analysis.