Dynamic open-source digital asset manager and image editor
digiKam is more than just a digital asset manager; it’s a robust, open-source solution crafted to inspire and empower photographers and enthusiasts. Discover its expansive arsenal of tools that enable you to seamlessly organize, edit, and share your digital photos and videos. With digiKam, you’re able to:
Import and Organize: Easily import photos and videos from your camera, smartphone, or other devices. Organize your collections using albums, tags, and labels.
Metadata Enrichment: Elevate your photo management with intelligent AI-driven tagging and rating. Automatically enrich your images with detailed metadata, making it easier than ever to organize and find images.
Advanced Search: Quickly find your photos using advanced search features, including tags, labels, dates, geolocation, and more.
Editing and Post-Processing: Enhance your photos with a wide range of editing tools, including color correction, cropping, and retouching. Apply filters and effects to give your images a professional touch.
Facial Recognition: Automatically detect and tag faces in your photos, making it easier to find and organize images of specific people.
Batch Processing: Save time by applying edits and adjustments to multiple photos at once.
Sharing and Publishing: Share your photos directly to social media platforms, create slideshows, and generate web galleries to showcase your work.
digiKam supports multiple collections hosted on local, removable, or network media, and it can store its database on local or remote servers. Whether you are a professional photographer or a hobbyist, digiKam provides the necessary tools to efficiently and effectively manage and edit your digital assets.
digiKam can easily handle libraries containing more than 100,000 images
Process raw files, edit JPEGs, publish photos to social media
AI metadata enrichment. View and edit metadata
digiKam is an open-source application that respects your freedom and privacy
Advanced Search Improvements Using Natural Language Query
// by digiKam Team
Natural Language Search in digiKam – GSoC 2026 Project by Srirupa Datta
We are excited to announce the successful integration of Natural Language Search in digiKam, developed by Srirupa Datta as part of the Google Summer of Code 2026 program. This new feature allows users to search their photo collections using plain English queries, making it easier than ever to find specific images without manually configuring filters.
What’s New?
With Natural Language Search, you can now type queries like:
digiKam 9.1.0 is released
// by digiKam Team
Dear digiKam fans and users,
After three months of active development, bug triage, and feature integration, the digiKam team is proud to announce the stable release of digiKam 9.1.0. This version builds on the foundation of 9.0.0, introducing new features, performance improvements, and a significant number of bug fixes to enhance stability, usability, and workflow efficiency. This release focuses on database migration, preview enhancements, advanced search, and usability improvements across the board.