Damselfly
github.com
Spec sheet
- Purpose
- Damselfly is a server-based photo management system designed to index large, folder-based photo collections for search and keyword tagging.Read 2 Oct 2026 · github.com
- Deployment
- Damselfly runs as a server with a web UI and can be deployed using Docker or installed without Docker.Read 2 Oct 2026 · github.com
- Integrations
- The selection basket supports uploads to WordPress, which requires JWT authentication configured on the WordPress site.Read 2 Oct 2026 · github.com
- Support
- The maintainer directs users to Reddit, GitHub issues, or email for questions, problems, and feature requests.Read 2 Oct 2026 · github.com
- Desktop clients
- The project lists desktop client versions for macOS, Windows, and Linux that sync selected server images to a local folder.Read 2 Oct 2026 · github.com
- Image recognition
- Its machine-learning features include face detection and recognition, object recognition, and image colour classification.Read 2 Oct 2026 · github.com
- Image search
- It supports full-text, multi-phrase partial-word search and filters including dates, faces, objects, camera details, file size, and orientation.Read 2 Oct 2026 · github.com
- Installation limit
- The maintainer says non-Docker installations are unsupported and intended for experts, and that AI setup is harder without Docker.Read 2 Oct 2026 · github.com
- Metadata
- Damselfly uses ExifTool to write metadata losslessly, so keyword changes do not re-encode JPEGs.Read 2 Oct 2026 · github.com
- Multi-user access
- Authentication can be enabled with User, ReadOnly, and Admin roles, and baskets can be private or shared.Read 2 Oct 2026 · github.com
- Offline processing
- The project says face detection and recognition run locally and offline.Read 2 Oct 2026 · github.com
- Other workflows
- The project documents exporting images for use with DigiKam or Photoshop and syncing files with Rclone.Read 2 Oct 2026 · github.com
- Performance and resource use
- The README claims searches across a 500,000-image catalogue return results in less than a second; technical documentation warns that AI processing can be CPU-intensive.Read 2 Oct 2026 · github.com
- Security caveat
- The documentation says that by default anyone with access can browse, modify, and download images; authentication must be enabled to apply user roles and permissions.Read 2 Oct 2026 · github.com
Plans and prices
Damselfly Free Free, open-source software · self-hosted Read 2 Oct 2026 · github.com
Where Specifiction places it
- Photo Management Software#10 of 378.3