PhotoPrism
PhotoPrism is an AI-powered, privacy-first photo and video management application for self-hosting. Built in Go with TensorFlow for machine learning, it automatically organises your media library using content classification, facial recognition, and location tagging. With approximately 40,000 GitHub stars and consistent daily development, PhotoPrism is one of the most popular self-hosted photo management platforms available — 100% self-funded with no data sent to third parties.
Key Features
- AI auto-tagging — TensorFlow-based content and location classification tags photos automatically during indexing
- Facial recognition — Identifies and groups people across your photo library with manual correction support
- Powerful search — Combine filters for labels, location, resolution, colour, chroma, quality, date, camera, and more
- World maps — Six high-resolution map styles for browsing photos by geographic location
- RAW support — Browse and manage RAW images alongside JPEGs without conversion
- Progressive Web App — Installable on phone, tablet, or desktop home screens for a native app-like experience
- WebDAV access — Mount your library as a network drive for direct file management from any OS
- Metadata extraction — Reads Exif, XMP, and Google Photos Takeout data for comprehensive organisation
Why Use PhotoPrism?
PhotoPrism offers the best AI-driven organisation in the self-hosted photo space — automatic tagging, facial recognition, and quality scoring mean your library organises itself. It respects your privacy completely: no data ever leaves your server unless you explicitly choose to share it. The Progressive Web App works seamlessly across devices without needing a native app install.
Use Cases
- AI-powered photo library organisation for home servers and NAS devices
- Privacy-focused alternative to Google Photos and Apple iCloud for photo management
- Centralising and indexing large media collections from multiple cameras and sources
- Self-hosted family photo sharing with album-based private links
Platform
Linux (Docker) · macOS · Windows · Raspberry Pi · NAS devices · FreeBSD
Licence
GNU AGPL-3.0 (Community Edition)