_{Mockup designed by rawpixel.com / Freepik}

A self-hosted, open-source photo management service with automatic face recognition, object detection, and semantic search — powered by modern machine learning.

• Stable demo is available here: https://demo1.librephotos.com/ . User is demo, password is demo1234 (with sample images).
• Latest development demo is available here: https://demo2.librephotos.com/ (same user/password)
• You can watch development videos on Niaz Faridani-Rad's channel
• You can join our Discord.

Step-by-step installation instructions are available in our documentation.

Note: Machine learning features (face recognition, scene classification, image captioning) are memory-intensive. 8 GB+ RAM is strongly recommended for smooth operation.

• Support for all types of photos including raw photos
• Support for videos
• Timeline view
• Scans pictures on the file system
• Multiuser support
• Generate albums based on events like "Thursday in Berlin"
• Face recognition / Face classification
• Reverse geocoding
• Object / Scene detection
• Semantic image search
• Search by metadata

• Framework: Django 5 with Django REST Framework
• Database: PostgreSQL
• Task Queue: Django-Q2
• Image Conversion: ImageMagick
• Video Conversion: FFmpeg
• Exif Support: ExifTool

• UI: React 18 with TypeScript
• Build Tool: Vite
• Component Library: Mantine
• Routing: TanStack Router
• Data Fetching: TanStack Query
• Maps: MapLibre GL
• Internationalization: i18next

• Face detection: face_recognition
• Face classification/clustering: scikit-learn and hdbscan
• Image captioning: im2txt
• Scene classification: places365
• Reverse geocoding: geopy

• Deployment: Docker & Docker Compose
• Reverse Proxy: Nginx

After starting LibrePhotos, interactive API docs are available at:

• Swagger UI: http://localhost:3000/api/swagger
• ReDoc: http://localhost:3000/api/redoc

• ⭐ Star this repository if you like this project!
• 🚀 Developing: Get started in less than 30 minutes by following this guide. Also see our CONTRIBUTING.md for detailed development setup, code quality standards, and PR guidelines.
• 🗒️ Documentation: Improving the documentation is as simple as submitting a pull request here
• 🧪 Testing: If you want to help find bugs, use the dev tag and update it regularly. If you find a bug, open an issue.
• 🧑‍🤝‍🧑 Outreach: Talk about this project with other people and help them to get started too!
• 🌐 Translations: Make LibrePhotos accessible to more people with weblate.
• 💸 Donate to the developers of LibrePhotos

This project is licensed under the MIT License.