Over two months after its previous April update, PhotoPrism, a widely adopted self-hosted open-source photo management tool, has just released a new upgrade, packed with AI enhancements, usability refinements, and performance boosts.
The biggest highlight is the introduction of support for Ollama models within PhotoPrism’s Vision AI service. On the user experience front, several features have been enhanced.
For example, users can now precisely adjust photo coordinates using the intuitive “Adjust Location” dialog directly on a map, simplifying geotagging tasks.
Additionally, album management got a convenient upgrade; albums can now be deleted directly from the toolbar, streamlining photo organization.
Performance-wise, thumbnail rendering in result views has been optimized, allowing for a snappier browsing experience. Meanwhile, video playback and metadata handling also received significant attention.
Notably, short videos (under 3 seconds) are no longer misclassified as Live Photos, and improvements were made to transcoding presets and HEVC playback via Quick Sync Video (QSV).
For users working extensively with metadata, PhotoPrism’s scanner detection is now more accurate, better recognizing devices by make and model. The update also addresses several minor yet important issues, including SQLite index updates and timezone handling within the viewer.
Power users and administrators can leverage enhancements in CLI tools, including the newly added photoprism dl command, to effortlessly import media from URLs. Additionally, the Go language runtime was updated to version 1.24.4, providing important security patches and performance enhancements.
For detailed information on all changes in the latest version of PhotoPrism, check out the changelog.
Please note that the installation packages released are designed for experienced users and maintainers of third-party integrations. For a more streamlined installation experience, PhotoPrism recommends using one of its Docker images.
Image credits: PhotoPrism
