# Download digiKam > Professional Photo Management with the Power of Open Source - Canonical page: https://everyversion.net/digikam/ - Publisher: The digiKam team - Latest: Windows 9.1.0, Linux 9.1.0 (Windows build released 2026-06-07) - Platforms: Windows, Linux - License: GPL-2.0-or-later (https://invent.kde.org/graphics/digikam/-/blob/HEAD/COPYING) - Price: Free and open source - Website: https://www.digikam.org/ - Support: https://www.digikam.org/support/ - winget ID: KDE.digiKam - Flathub: org.kde.digikam — https://flathub.org/apps/org.kde.digikam (app data from Flathub; license listed there: GPL-2.0+) - Flathub publisher verified: yes (Publisher verified on Flathub through a kde login (teams/flathub), 2023-04-14) - Verification: level 1 — Hashes re-computed from the publisher’s download: 1 of 1 installers match the upstream manifest. Checked by Cristian Gonzalez Guasch. - Source (Windows): winget-pkgs @ ca3de5f957f41c0c1c818788b187c45357e50fba — https://github.com/microsoft/winget-pkgs/tree/ca3de5f957f41c0c1c818788b187c45357e50fba/manifests/k/KDE/digiKam - Source (Linux): Flathub — https://github.com/flathub/org.kde.digikam ## Description 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. ## Windows ### What the installer does - Delivered as an NSIS (Nullsoft) setup program (.exe) for x64. - Installs for all users on the PC, which normally requires administrator rights. - No custom silent switch is declared; winget falls back to its default for this installer type (`/S`). - Upgrades install over the existing version. ### Versions (newest first) #### 9.1.0 — 2026-06-07 - x64 nullsoft (machine): digiKam-9.1.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/9.1.0/digiKam-9.1.0-Qt6-Win64.exe - sha256: 28ef373ab45ecc7eb1fd105b57828a29588504eb5a286c9e89c987c056bce8be Release notes: 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. Pin: `winget install --id KDE.digiKam --version 9.1.0 --exact` #### 9.0.0 — 2026-03-08 - x64 nullsoft (machine): digiKam-9.0.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/9.0.0/digiKam-9.0.0-Qt6-Win64.exe - sha256: 74bbaacfa23fb98faae2669c9bd385046f20217414d3677f385a5de25bc72cf1 Release notes: Dear digiKam fans and users, After months of intensive development, bug triage, and feature integration, the digiKam team is thrilled to announce the stable release of digiKam 9.0.0. This major version introduces groundbreaking improvements in performance, usability, and workflow efficiency, with a strong focus on modernizing the user interface, enhancing metadata management, and expanding support for new camera models and file formats. - New Features and Major Changes - General Updates and Porting - Bundles Component Versions - Raw Camera Support - User Interface and Usability - Metadata and Tag Management - Preview and Media Support - New Survey Tool - Editor and Plugins - New Advanced Search and Sorting Options - Geolocation Editor - Performance and Stability - Notable Bug Fixes - Internationalization - Future Plans - Final Words New Features and Major Changes General Updates and Porting digiKam 9.0.0 marks a significant milestone with the core code now fully ported to Qt 6.10.1 for the AppImage and macOS bundles, ensuring improved performance, security, and compatibility with modern operating systems. The Windows Qt6 bundle also benefits from the latest Qt 6.9.1 and KDE Frameworks 6.20.0. Pin: `winget install --id KDE.digiKam --version 9.0.0 --exact` #### 8.8.0 — 2025-10-19 - x64 nullsoft (machine): digiKam-8.8.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/8.8.0/digiKam-8.8.0-Qt6-Win64.exe - sha256: 6793aee8ee5d6fcbe0e55fc711cf706c528b9a3f955586b38fd643506dfce086 Release notes: Dear digiKam fans and users, After four months of active development, bug triage, and feature integration, the digiKam team is proud to announce the stable release of digiKam 8.8.0. This version delivers significant improvements in performance, stability, and user experience, with a particular focus on image processing, color management, and workflow efficiency. - New Features and Major Changes - General Updates and Porting - Tag Management - Preview and Camera Support - Color Management - Editor and Plugins - Internal Components Update - Notable Bug Fixes - Generalities - Future Plans - Final Words The digiKam team remains committed to providing a powerful, open-source digital photo management solution, continuously enhanced with new tools and optimizations for photographers and enthusiasts alike. Pin: `winget install --id KDE.digiKam --version 8.8.0 --exact` #### 8.7.0 — 2025-06-30 - x64 nullsoft (machine): digiKam-8.7.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/8.7.0/digiKam-8.7.0-Qt6-Win64.exe - sha256: 0166b78006ac269a167457280d0d47b868e2f681c94952a659a22865dbb4bbae Release notes: Dear digiKam fans and users, After four months of active maintenance and many weeks triaging bugs, the digiKam team is proud to present version 8.7.0 of its open source digital photo manager. - New Features and Major Changes - Face Management Updates and Improvements - OpenCV OpenCL and CUDA Support - AI Auto-Rotation Tool - Internal Components Update - Notable Bug Fixes - Generalities - Future Plans - Final Words The digiKam team has continued to work the Artificial Intelligence integration in digiKam, and many parts have been improved with the 8.7.0 release. Pin: `winget install --id KDE.digiKam --version 8.7.0 --exact` #### 8.6.0 — 2025-03-15 - x64 nullsoft (machine): digiKam-8.6.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/8.6.0/digiKam-8.6.0-Qt6-Win64.exe - sha256: 6be996efd54015d52fac4c5682d01ff080e4dcb496aafa434fdd8500be9e1c0c Release notes: Dear digiKam fans and users, After four months of active maintenance and many weeks triaging bugs, the digiKam team is proud to present version 8.6.0 of its open source digital photo manager. - New Features and Major Changes - Face Management Updates and Improvements - Auto-Tags Management - Image Quality Management - Red Eye Correction - Internal Components Update - Notable Bug Fixes - Generalities - Future Plans - Final Words The digiKam team has continued to work on a better Artificial Intelligence integration in digiKam, and many parts have been improved with the 8.6.0 release. Pin: `winget install --id KDE.digiKam --version 8.6.0 --exact` #### 8.5.0 — 2024-11-16 - x64 nullsoft (machine): digiKam-8.5.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/8.5.0/digiKam-8.5.0-Qt6-Win64.exe - sha256: a1ad62f4dad7afdab83f964ff29344731a040242ab4bba440efa15b696dac562 Release notes: Dear digiKam fans and users, After five months of active maintenance and many weeks triaging bugs, the digiKam team is proud to present version 8.5.0 of its open source digital photo manager. Generalities More than 160 bugs have been fixed and we spent a lot of time contacting users to validate changes in pre-release versions to confirm fixes before deploying the program to production. Application internationalization has also been updated. digiKam and Showfoto are released with 61 different languages for the graphical interface. Go to the Settings/Configure Languages dialog and change the localization as you want. digiKam needs to be restarted to apply the changes. If you want to contribute to the internationalization of digiKam, please contact the translator teams, following the translation how-to. The statistics about translation states are available here. Thanks to the translators who have worked on the online documentation internationalisations which is now available in 16 languages as French, German, Spanish, Italian, Japanese, Chinese, and more. You can read and search over the documentation here. You are welcome to contribute to application handbook translations following the coordination team instructions. Internal Components Update This version arrives with the internal RAW decoder Libraw updated to the rolling-release snapshot 2024-09-10, including bugfixes. For metadata management, the industry-standard open-source component ExifTool has been updated in all bundles to the latest 12.99 release. Additionally, the well-known shared library Exiv2 has been upgraded to version 0.28.3. Native Apple Silicon Package A native macOS package for the Apple Silicon arm64 architecture is now available for the first time. This package leverages Qt6 framework version 6.7.2, KDE framework 6.7.0, and FFmpeg 6.1 to facilitate video media playback. Importantly, it no longer necessitates the use of the Apple Rosetta 2 emulator. The journey to develop an Apple Silicon package was lengthy and involved. It required acquiring new Apple devices and setting up the environment to configure, compile, and test all necessary packages. This milestone marks the completion of the full port to the Qt version 6 framework across all Windows, macOS, and Linux bundles. Please note that the previous macOS package based on the Qt5 framework will still be supported for legacy Intel Apple computers. Notable Bug Fixes - Fix wrong ExifTool packaging in the bundles 490341 488222 - Usability improvements of the progress manager 375519 - Better OpenCL support while intensive calculations with the OpenCV framework 495014 - Better ICC profiles support 495646 - Better large TIFF file format support with a new solid identification in the database 488662 490859 - Better date and time formats support 490552 491804 493388 - New Apple extensions supported with HEIF file format 494304 - New option to not blur pixels at high zoom level in preview mode 431788 491580 New Features Face Management Updates and Improvements A new contributor named Michael Miller joined the team a few months ago. As a long time digiKam user with an excellent developer skills, he decided first to help us on the native macOS Silicon port, and more recently to improve Face Management with a long list of closed reports. The current release boasts several enhancements and improvements to the Face Management feature. New deep-learning models have been integrated into the face pipeline, making face detection and recognition faster and more accurate. YuNet is now the default model for face detection, outperforming the previous MobileNetSSD and YOLO v3 models in both speed and accuracy. It offers more configuration options to enhance overall accuracy and allows users to fine-tune face detection for specific scenarios, such as large group photos and portrait photography. Significant improvements have also been made to face recognition. SFace is now the default deep-learning model for face recognition. Additionally, the face classifier (matching algorithm) has been updated to be both faster and more accurate. Now, only one face needs to be confirmed for a person before digiKam can start recognizing other detected faces. Color Label Usability One of the key features offered by digiKam is the ability to identify important items using color labels. In both the thumb-bar and album icon view, the color labels mark thumbnails with a solid color frame. You have ten different colors at your disposal to catalog your photos. In the previous release, the color label feature drew a bright border frame around the thumbnail, which was deemed a bit intrusive in the user interface, especially when multiple labels were used in an album. To enhance this behavior, we’ve now implemented a narrow linear gradient color bar below the thumbnail. Future Plans Next maintenance version is targeted in February 2025 with more bug fixes and improvements. In the coming weeks, a crucial task planned with Michael is to continue the revamp of face management. The multithreaded face pipeline will be completely rewritten to boost performance, enhance maintainability, and reduce false positives in the recognition clustering algorithm. These improvements will also be integrated into a new auto-tagging engine, bringing the same enhancements to auto-tagging as those made to face management. Final Words Thanks to all users for your support and donations, and to all contributors, students, testers who allowed us to improve this release. digiKam 8.5.0 can be downloaded from this repository as: - Source code tarball. - Linux 64 bits AppImage bundles compatible with systems based on glibc >= 2.31. - Windows 10 (or later) 64 bits installers or bundle archives. - macOS Silicon and Intel packages. Rendez-vous next year for the digiKam 8.6.0 release. Have fun with digiKam… Pin: `winget install --id KDE.digiKam --version 8.5.0 --exact` #### 8.4.0 — 2024-07-12 - x64 nullsoft (machine): digiKam-8.4.0-Qt6-Win64.exe - url: https://download.kde.org/stable/digikam/8.4.0/digiKam-8.4.0-Qt6-Win64.exe - sha256: 5a84d705e7725c25820927ed98d4bb32b838b0a4f1c112c69ec24a562a00056f Pin: `winget install --id KDE.digiKam --version 8.4.0 --exact` #### 8.3.0 — 2024-03-14 - x64 nullsoft (machine): digiKam-8.3.0-Win64.exe - url: https://download.kde.org/stable/digikam/8.3.0/digiKam-8.3.0-Win64.exe - sha256: 9c8e5dbbbf0eb4d275ff945dbb98006579c80ce2e765f7d349a02b30cac2f364 Pin: `winget install --id KDE.digiKam --version 8.3.0 --exact` #### 8.2.0 - x64 nullsoft (machine): digiKam-8.2.0-Win64.exe - url: https://download.kde.org/stable/digikam/8.2.0/digiKam-8.2.0-Win64.exe - sha256: a302948e6b261654f036e020dd9d0164233a13812d12ced7947195d4decb7c23 Pin: `winget install --id KDE.digiKam --version 8.2.0 --exact` #### 8.1.0 - x64 nullsoft (machine): digiKam-8.1.0-Win64.exe - url: https://download.kde.org/stable/digikam/8.1.0/digiKam-8.1.0-Win64.exe - sha256: 162479a502fe774d2fb04d1908164cdc6638aae8bfc8ecc860a7231b27e4bd44 Pin: `winget install --id KDE.digiKam --version 8.1.0 --exact` #### 8.0.0 — 2023-04-12 - x64 nullsoft (machine): digiKam-8.0.0-Win64.exe - url: https://download.kde.org/stable/digikam/8.0.0/digiKam-8.0.0-Win64.exe - sha256: ee0b0f34294e97bab239fcfc3fad793dc6f099212c9e7af086f429c97e30c9ad Pin: `winget install --id KDE.digiKam --version 8.0.0 --exact` #### 7.8.0 - x64 nullsoft (machine): digiKam-7.8.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.8.0/digiKam-7.8.0-Win64.exe - sha256: 39c46825b4c7472d9d71eab885d6bcbdd5ac5228bf7c0a91e2d59a3c9fc9fa3c Pin: `winget install --id KDE.digiKam --version 7.8.0 --exact` #### 7.7.0 - x64 nullsoft (machine): digiKam-7.7.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.7.0/digiKam-7.7.0-Win64.exe - sha256: e2b8969913dac8c45f32b1fadfb802b7218d85236318d7d9bcd4d218f0b3db78 Pin: `winget install --id KDE.digiKam --version 7.7.0 --exact` #### 7.6.0 — 2022-03-01 - x64 nullsoft (machine): digiKam-7.6.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.6.0/digiKam-7.6.0-Win64.exe - sha256: 25b07971a0995f6440abb0084f3a3e2c40e01746282c45f60e076eb8cd4edda9 Pin: `winget install --id KDE.digiKam --version 7.6.0 --exact` #### 7.4.0 - x64 nullsoft (machine): digiKam-7.4.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.4.0/digiKam-7.4.0-Win64.exe - sha256: a15f9b2660055929b1f5555c77f728330a5d7495c5708e66c7b9bf84036b4ca1 Pin: `winget install --id KDE.digiKam --version 7.4.0 --exact` #### 7.3.0 - x64 nullsoft (machine): digiKam-7.3.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.3.0/digiKam-7.3.0-Win64.exe - sha256: a5b4e01244cef3c9cf2a5c32fbd03066e70e6905faf371c4081b9f5fd4cf9007 Pin: `winget install --id KDE.digiKam --version 7.3.0 --exact` #### 7.2.0 - x64 nullsoft: digiKam-7.2.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.2.0/digiKam-7.2.0-Win64.exe - sha256: 76d83bc50c30da90c86b3efa1fec4eed77a055f1b1cfaca2271db74d8d511ffb Pin: `winget install --id KDE.digiKam --version 7.2.0 --exact` #### 7.1.0 - x64 nullsoft: digiKam-7.1.0-Win64.exe - url: https://download.kde.org/stable/digikam/7.1.0/digiKam-7.1.0-Win64.exe - sha256: 51ca55fbf608d42ea5fb81eeca9592a385755a33ab959dcfdf8d1d7151776cf3 Pin: `winget install --id KDE.digiKam --version 7.1.0 --exact` ## Linux ### What the installer does - Delivered as a "flatpak" installer for x64 and ARM64. - The manifest does not state an install scope. - No silent-install switch is declared in the manifest. ### Versions (newest first) — Flathub lists only the current release #### 9.1.0 — 2026-06-07 - x64 flatpak: org.kde.digikam.flatpakref - url: https://dl.flathub.org/repo/appstream/org.kde.digikam.flatpakref - sha256: not provided by upstream - arm64 flatpak: org.kde.digikam.flatpakref - url: https://dl.flathub.org/repo/appstream/org.kde.digikam.flatpakref - sha256: not provided by upstream Install: `flatpak install flathub org.kde.digikam`