
PhotoPrism
AI-powered photo management for the decentralized web

PhotoPrism is a self-hosted photo and video management application that helps you browse, organize, and search large media libraries from a modern web interface. It focuses on fast indexing, rich metadata handling, and AI-assisted discovery while keeping your originals in your own storage.
Key Features
- Web-based photo and video library with responsive UI, albums, favorites, and sharing links
- AI-powered search and classification (e.g., objects/scenes) plus location and time-based browsing
- Face recognition (optional, depending on setup) and people organization for easier discovery
- Automatic indexing with EXIF/XMP metadata reading, duplicate detection, and quality sorting
- Map view and geolocation support (uses embedded metadata; can enrich from known locations)
- Import workflows that preserve originals and support sidecar files
- Multi-user support with authentication and role-based access controls
- Docker-first deployment with configurable storage paths and database backends
Use Cases
- Replace cloud photo services for personal and family photo libraries with local storage
- Create a searchable archive for photographers (RAW/JPEG) and shared studio collections
- Centralize media from phones/cameras/NAS with metadata-based browsing and deduplication
Limitations and Considerations
- Some advanced features (notably certain AI/Maps capabilities) may depend on additional services, model downloads, or API keys and can increase resource usage.
PhotoPrism is well-suited for users who want a full-featured, browser-based photo library with strong metadata support and AI-assisted search. It is commonly deployed on a home server or NAS to organize large collections while maintaining control over files and backups.
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