PhotoPrism
AI-powered personal photo management with TensorFlow tagging and browsing
Overview
PhotoPrism is a self-hosted photo and video library powered by Go and Google TensorFlow for automatic subject and scene classification. It provides a browsable web gallery, face recognition, location maps, duplicate detection, RAW file support, and multi-user access. It can be deployed as a single Docker container or via Docker Compose, with an optional managed hosting plan available.
Where it falls short of Google Photos
- Mobile auto-backup requires a third-party app (no official mobile client); Google Photos has seamless native sync
- Advanced features (multi-user, private mode) locked behind a paid Plus license
- Initial indexing and AI classification can be very slow on CPU-only hardware
- Face recognition accuracy is lower than Google Photos' cloud-scale models
We list the gaps honestly so you can decide if the trade-off is worth owning your data.
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