
Damselfly
Server-based photo management with fast search and AI tagging

Damselfly is a server-based digital photo management system built to index very large, folder-based libraries and make images easy to find using filenames, folders, and embedded metadata. It emphasizes fast search and an efficient keyword-tagging workflow, with optional computer-vision assistance.
Key Features
- Indexes large photo collections using EXIF/IPTC metadata plus folder and filename information
- Fast full-text search, including multi-phrase and partial-word matching
- AI-assisted tagging with face detection, face recognition, and object detection (runs locally/offline)
- Advanced filters (date ranges, camera/lens metadata, orientation, file size, untagged images, and more)
- Non-destructive keyword tagging via ExifTool to avoid JPEG re-encoding
- Background scanning and automated thumbnail generation
- Multi-user accounts with role-based entitlements (including read-only access)
- Basket workflow to collect images for download/export and further processing
- Optional desktop client for syncing selected images to a local folder for editing
Use Cases
- Personal or family photo library management with quick search and tagging
- Photographer workflows for cataloging, keywording, and exporting selected sets
- Home server/NAS-based photo access across multiple devices without copying catalogs
Limitations and Considerations
- Primarily designed for folder-based photo libraries; edit/manipulation features are limited compared to dedicated editors
- Video support is not a primary focus and may be limited depending on format and workflow
Damselfly is well-suited for users who want a self-hosted, high-performance photo catalog focused on search, metadata, and assisted tagging. Its basket-and-sync workflow also supports bringing selected photos to a workstation for external editing while keeping the main library centralized.
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