digiKam
digiKam is an advanced digital photo management tool that simplifies importing and organizing photos into albums. It supports various formats including RAW, features tagging, metadata management, duplicate finder, photo editing, sharing, GPS data handling, and has cross-platform compatibility.
Cost / License
- Free
- Open Source (GPL-2.0)
Application types
EUPlatforms
- Mac
- Windows
- Linux
- BSD
- KDE Plasma
- Flathub
- Qt
Features
Properties
- Privacy focused
Features
- Tag based
- Geotagged Photos
- Facial Recognition
- Tagging
- Raw editing
- File Tagging
- Ad-free
- Works Offline
- RAW Photo Editors
- Image stacking
- No registration required
- No Tracking
- Photo Recovery
- Built-in Photo editor
- Duplicate File Finder
- Workflow
- Geotagging
- Dark Mode
- Non Destructive Editing
- Batch Editing
- Extensible by Plugins/Extensions
- Raw View
- AI-Powered
- Raw import
- Multiplatform Export
digiKam News & Activities
Recent News
- POX published news article about digiKam
digiKam 9.1 brings support for Pixel motion photos, enhanced advanced search, and moredigiKam 9.1 has been released as the latest version of this free and open-source digital asset mana...
- POX published news article about digiKam
digiKam 9.0 released as a massive update for photographers using this open source softwaredigiKam 9.0 arrives as a major release of this free and open source photo management software, feat...
- Maoholguin published news article about digiKam
digiKam 8.8 adds hierarchical tag import, focus point preview, and new blur tooldigiKam 8.8 introduces workflow improvements with the ability to import and export hierarchical tag...
Recent activities
- Danilo_Venom updated digiKam
bastian_machek added digiKam as alternative to LrGeniusAI
geoimagetagger added digiKam as alternative to GeoImageTagger- rust-eze liked digiKam
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What is digiKam?
digiKam is a digital photo management application that efficiently organizes photos into albums. It supports multiple collections on various media types and can handle libraries of over 100,000 images. As an open-source platform, digiKam offers tools for organizing, editing, and sharing photos and videos. It features AI-driven tagging and rating for easier organization and advanced search features. Its editing tools include color correction, cropping, retouching, filters, and effects. It also has a facial recognition tool and allows batch processing. Users can share photos directly to social media, create slideshows, and web galleries. It also supports AI metadata enrichment and provides tools for viewing and editing metadata.
digiKam information
Developed by
KDE Licensing
Open Source (GPL-2.0) and Free product.Rating
Average rating of 4Alternatives
116 alternatives listedNews
10 news article related to digiKamSupported Languages
- English
- Albanian
- Arabic
- Basque
- Belarusian
- Bosnian
- Bulgarian
- Hungarian
- Vietnamese
- Galician
- Dutch
- Greek
- Georgian
- Danish
- Hebrew
- Indonesian
- Irish
- Icelandic
- Spanish
- Italian
- Catalan; Valencian
- Chinese
- Korean
- Khmer
- Latvian
- Lithuanian
- Malay
- Marathi
- German
- Nepali
- Norwegian Bokmål
- Norwegian Nynorsk
- Occitan
- Panjabi, Punjabi
- Persian
- Polish
- Portuguese
- Romanian
- Russian
- Northern Sami
- Slovak
- Slovene
- Thai
- Turkish
- Uighur, Uyghur
- Ukrainian
- Finnish
- French
- Hindi
- Croatian
- Czech
- Swedish
- Esperanto
- Estonian
- Japanese
Comments and Reviews
Unfortunately, the windows version is not reliable at a very fundamental level. This software will scan your images, let you spend hours tagging and burning cpu to use the facial recognition feature, then the database will corrupt. It has happened twice so far, and I'm not willing to attempt the journey again. They need to stop letting google summer of code students write this software, like, yesterday.
Is very interesting
I have been using Digikam as my main photo management software for years on both Linux and Windows. It has proven a reliable tool for the casual enthusiast. Handy features like tag labeling and photo upload integration work well.
Still has ways to go to be in the same league as Adobe and the big guys, but I appreciate that this is a community driven project and more than fulfills my needs.
Capabilities: plenty Support for modern formats: plenty Great metadata handling: absolutely
However. The user-experience has a (too) steep learning curve. Where (for example) XNview is extremely easy to use and has a very nice and customizable user interface, I found Digikam to be very difficult to use. (or even find simple features).
I do appreciate the work though and I may look into it in the future.
1.6gb space to install. From LeoAI: "You cannot move a tag directly on the image itself within digiKam. Tags are metadata associated with the image file and are managed within the software's interface, not overlaid onto the image display."
Wonky UI. Broken facial recognition and duplicate checker. Hardware acceleration does not work on Intel Arc GPUs. Overall waste of time.
I'd say that facial recognition is half-baked. At least it is improving in updates.