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0001 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.
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0003 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.). The application allows you to configure import settings and rules that process and organize imported items on-the-fly.
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0005 digiKam organizes photos, RAW files, and videos into albums. But the application also features powerful tagging tools that allow you to assign tags, ratings, and labels to photos and raw files. You can then use filtering functionality to quickly find items that match specific criteria.
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0007 In addition to filtering functionality, digiKam features powerful searching capabilities that let you search the photo library by a wide range of criteria. You can search photos by tags, labels, rating, data, location, and even specific EXIF, IPTC, or XMP metadata. You can also combine several criteria for more advanced searches. digiKam rely on Exiv2 library to handle metadata tag contents from files to populate the photo library.
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0009 digiKam can handle RAW files, and the application uses the excellent LibRaw library for decoding raw files. The library is actively maintained and regularly updated to include support for the latest camera models.
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0011 The application provides a comprehensive set of editing tools. This includes basic tools for adjusting colors, cropping, and sharpening as well as advanced tools for, curves adjustment, panorama stitching, and much more. A special tool based on Lensfun library permit to apply lens corrections automatically on images.
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0013 Extended functionality in digiKam is implemented via a set of plugins. You can easily customize digiKam by enable and disable individual tools, dedicated especially to import and export contents to remote web-services.
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0015 digiKam is based in part on the work of the Independent JPEG Group.