Damselfly
Organize massive photo libraries with a self-hosted management system. Use powerful AI for face and object recognition, and find any image in seconds with fast search.
Damselfly is a server-based digital photograph management system designed for large, folder-based collections. It focuses on providing a fast search and an efficient keyword-tagging workflow, with a user interface inspired by Google Picasa. The system uses powerful machine learning to help you identify and organize your images automatically.
Key features include:
- AI-powered image recognition: Automatically performs facial detection, object detection, and even full facial recognition to help you find and tag people across your entire library.
- Extremely fast performance: Search a catalogue of over 500,000 images and get results in less than a second.
- Advanced search capabilities: Filter your collection by date ranges, camera/lens models, file properties, or find visually similar images.
- Picasa-style workflow: Use a selection basket to gather images from various searches for downloading, exporting, or syncing to your local machine for editing.
- Desktop client integration: A dedicated app for macOS, Windows, and Linux allows you to sync images from the server basket directly to a local folder.
- Non-destructive tagging: Keyword tags are applied to EXIF data without re-encoding your original JPEG files, preserving quality.
Directory Structure
damselfly
config
pictures
thumbs
.env
docker-compose.yml
docker-compose.yml
services:
damselfly:
image: webreaper/damselfly:latest
container_name: damselfly
environment:
- TZ=UTC
ports:
- "6363:6363"
volumes:
- ./config:/config
- ./pictures:/pictures
- ./thumbs:/thumbs
restart: unless-stopped
.env
# Damselfly does not require any sensitive environment variables by default.
# Configuration and user setup are handled via the web interface on first launch.
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