digiKam als Linux-Alternative zu Adobe Lightroom

Aktualisiert am 21. Oktober 2026

Unser Fazit

digiKam is a strong, free alternative for photographers who prioritize library management and non-destructive RAW editing over advanced creative effects. It handles large catalogs, tagging, and batch processing well, making it suitable for hobbyists and professionals who do not rely on Lightroom’s specific plugin ecosystem or complex tone mapping. However, if your workflow depends heavily on Adobe’s specific color science, deep local adjustments, or seamless integration with Photoshop, you will find digiKam limiting. It is best for users who want a robust, open-source cataloging tool with solid RAW support without subscription costs.

Funktionsabdeckung75%

Lizenz: GPL-2.0+
Preis: Kostenlos
Aktuelle Version: 9.1.0 (7. Juni 2026)
Bewertung: —

digiKam installieren Website ↗

Screenshot von digiKam — digiKam Batch Queue Manager

Was gleich funktioniert

Non-destructive RAW editing using embedded metadata
Large library cataloging with tagging, rating, and album organization
Batch processing for resizing, exporting, and metadata changes
Support for EXIF, IPTC, and XMP metadata management
Direct import from cameras and SD cards with configurable rules

Was anders ist

Lacks Adobe’s extensive plugin ecosystem for specialized effects
No direct support for Adobe’s proprietary .xmp sidecar format in the same way, though it reads standard metadata
Color engine and tone mapping algorithms differ from Adobe’s, potentially altering final output
Interface is KDE-centric, which may feel less streamlined than Lightroom’s unified workspace
Batch export options are functional but less granular than Lightroom’s presets

Ihre Adobe Lightroom-Dateien öffnen

digiKam can read and write standard RAW files (CR2, NEF, ARW, etc.) and JPEGs. It does not open Adobe Lightroom catalogs (.lrcat) directly. However, since digiKam uses standard metadata (EXIF, IPTC, XMP) and non-destructive editing, you can migrate your photo library by importing the original files. Your Lightroom edits stored in .xmp sidecar files may be partially readable, but complex Lightroom-specific adjustments will not transfer. You will need to re-apply edits in digiKam.

Von Adobe Lightroom zu digiKam wechseln – Schritt für Schritt

Export your Lightroom catalog as a CSV or JSON file for reference
Copy all original RAW and JPEG files to a folder on your Linux system
Launch digiKam and use the Import Wizard to add the folder to your database
Configure import rules to automatically apply tags or albums if desired
Review a sample of images to ensure RAW previews render correctly
Re-apply critical edits in digiKam’s image editor as needed

Wichtige Funktionen von digiKam

Direkter Import von Kameras, SD-Karten und USB-Laufwerken mit konfigurierbaren Regeln
Fortgeschrittenes Tagging, Bewertung und Label-System für komplexe Bibliotheksorganisation
Leistungsstarker Such-Engine, die EXIF, IPTC und XMP-Metadatakriterien unterstützt
Nicht-destruktive Bearbeitung mit Farbkorrekturen, Zuschneiden und Schärfen
Native RAW-Unterstützung über LibRaw zum Dekodieren und Voransicht
Videokatalogisierung und Metadatenerfassung mit FFmpeg-Backends
Albumorganisation mit Drag-and-Drop-Oberfläche
Plattformübergreifende Verfügbarkeit für Linux, Windows und macOS

digiKam unter Linux installieren

Flatpak (Flathub)flatpak install flathub org.kde.digikam

Ubuntu / Mintsudo apt install digikam

Debiansudo apt install digikam

Fedorasudo dnf install digikam

Arch / Manjarosudo pacman -S digikam

openSUSEsudo zypper install digikam

Häufige Fragen

Can I use Lightroom presets in digiKam?

No. digiKam does not support Adobe’s .xmp preset format. You will need to recreate your editing workflows using digiKam’s built-in tools.

Does digiKam support video editing?

digiKam catalogs and extracts metadata from video files using FFmpeg, but it is not a video editor. Use a dedicated tool like Kdenlive for video work.

Is digiKam free?

Yes. digiKam is open-source software licensed under GPL-2.0+ and is available for free on Linux, Windows, and macOS.