Picasa
Manages local photos with AI features such as semantic search and face recognition.
About
Picasa-rs is a personal project aimed at providing a comprehensive local photo management solution. It integrates advanced AI capabilities such as semantic search, face recognition, and geographic/temporal filtering, allowing users to efficiently sort, search, and organize their vast photo collections directly on their local machine, ensuring privacy and control over their data. It offers multiple interfaces including a desktop GUI, a command-line tool, and an MCP server for integration with AI assistants.
Key Features
- Integration with AI assistants like Claude Desktop via Model Context Protocol
- AI-powered face detection, clustering, and person identification with review workflows
- Multiple interfaces: desktop GUI (Tauri/React), command-line interface, and MCP server
- 0 GitHub stars
- Local photo scanning with recursive indexing, EXIF extraction, and HEIF support
- Semantic search with CLIP embeddings, augmented by geographic and temporal filtering
Use Cases
- Organizing and searching large personal photo libraries with AI-driven insights
- Performing batch operations like scanning, embedding generation, and face detection on photo collections
- Integrating advanced photo search and recognition capabilities directly with AI assistants
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