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Damselfly

Server-based photo management with fast search and AI tagging

1.8k stars 94 forks last commit first released GPL-3.0

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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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