nextcloud/recognize
📦 Open Source Projectnextcloud
Smart, privacy-focused media tagging for Nextcloud using local machine learning for faces, objects, and music.
Nextcloud Recognize leverages advanced machine learning models to provide automated tagging for your media collection. The tool is designed to run entirely on your own infrastructure, ensuring that sensitive image and audio data never leave your server for third-party processing. It supports a wide range of recognition tasks, including facial recognition for grouping photos of people, object detection for identifying items and landscapes, and audio analysis for classifying music genres. The application is built to be modular, allowing for future expansion of recognition capabilities. By utilizing local compute resources, it provides a privacy-first alternative to big-tech photo management solutions. It is highly optimized for the Nextcloud environment, ensuring that metadata is stored efficiently and remains accessible through the standard Nextcloud interface, making your vast collection of personal media instantly searchable and organized without compromising data sovereignty.
💡Highlights
- ├─Local face and object detection
- ├─Automated music genre tagging
- └─Privacy-first, no cloud API calls
🎯For
- ├─Self-hosted enthusiasts
- └─Privacy-conscious users