The face management tool has been upgraded with AI technology to automatically identify and recognize faces in images, simplifying the tagging process. Users can now configure the face recognition feature to automatically initiate scans whenever new faces are confirmed, improving efficiency. The system also allows users to save their decisions when rejecting proposed face matches and presents the next best match available.
Additionally, support for OpenCV, OpenCL, and CUDA has been added, allowing the software to utilize the full potential of users' hardware. This integration means images can be processed more efficiently with the help of the GPU, although users are cautioned about potential crashes if GPU drivers are not properly installed.
The new AI auto-rotation tool leverages deep learning to automatically correct the orientation of images in bulk, enhancing user workflow. Internal updates include a revamped RAW decoder and improved metadata management through the updated ExifTool. The software now supports over 1260 camera models and has seen significant bug fixes across various components.
Future plans for DigiKam involve a maintenance release slated for October 2025, which will introduce further bug fixes and enhancements. The team is also exploring the use of deep neural networks for tasks like noise reduction and color adjustments, and may implement a large language model (LLM) engine for database queries.
In summary, DigiKam 8.7.0 is a robust update that enhances user experience through advanced AI features and improved performance, with ongoing plans to advance the software's capabilities even further in the future. Users can download the latest version from the official repository and look forward to future updates, including the anticipated 8.8.0 release
digiKam 8.7.0 released
DigiKam 8.7.0 has been released, and it represents the most recent release from the digiKam team, which has dedicated the past four months to the integration of artificial intelligence. The latest version features numerous enhancements, such as face management, support for OpenCV OpenCL and CUDA, an AI auto-rotation tool, updates to internal components, and various bug fixes.
The digiKam Face Management tool uses advanced AI technology to automatically identify and recognize faces in images, which streamlines the face-tagging process. A newly introduced feature allows users to configure the face recognition scan to start a new scan whenever they confirm or tag new faces. The enhancement of the face workflow also incorporates the ability to save when a user declines a proposed face match and to display the next best match, if available.
