digiKam - Open-Source Digital Photo Manager

guest · Sep 3, 2022

digiKam is an advanced open-source digital photo management application that runs on Linux, Windows, and macOS. The application provides a comprehensive set of tools for importing, managing, editing, and sharing photos and raw files.

You can use digiKam’s import capabilities to easily transfer photos, raw files, and videos directly from your camera and external storage devices (SD cards, USB disks, etc.).
In addition to filtering functionality, digiKam features powerful searching capabilities that let you search the photo library by a wide range of criteria.
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digiKam 7.8.0 Released (September 3, 2022)
Website
Announcement
Download (Linux, Windows, macOS) (via: Majorgeeks / Softpedia)

Dear digiKam fans and users,

After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.8.0 of its open source digital photo manager. See below the list of most important features coming with this release.
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digiKam 7.8 Open-Source Digital Photo Manager Released with New Camera Support, More
by Marius Nestor - September 3, 2022

The digiKam team announced today the release and general availability of digiKam 7.8 as the latest stable version for this open-source, free, and cross-platform digital photo management software based on Qt and KDE technologies.

digiKam 7.8 is here about two and a half months after digiKam 7.7.
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digiKam 7.8 is available for download as an AppImage universal binary package for virtually any GNU/Linux distribution right now from the official website. Meanwhile, the digiKam team revealed the fact that they plan on releasing digiKam 8.0 as a major update that ports the digital photo management software to the new Qt6 framework.

“8.0.0 is ported to the new Qt6 framework and it is still compatible with Qt5. All new important features are hosted to this code. This summer we have mentored two students working on the Image Quality analyzer using a neural network, and a new plugin to perform OCR over images using Tesseract. The projects are under finalization and will be integrated soon to 8.0.0.”
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