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camera brands and works from raw sensor data\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Non-destructive editing\u003C\u002Fstrong>: adjustments are stored as parameters only, never written into the original file\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Darkroom modules\u003C\u002Fstrong>: exposure, tone curves, color balance, denoise, sharpen, and many more\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Lighttable organization\u003C\u002Fstrong>: rate, tag, and collect photos, then filter and batch-organize them\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Lens correction\u003C\u002Fstrong>: detects camera and lens automatically and corrects distortion, vignetting, and chromatic aberration\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Masks and local edits\u003C\u002Fstrong>: adjust only part of a frame with drawn, path, or parametric masks\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Color management\u003C\u002Fstrong>: full color-profile support keeps colors consistent across devices\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Batch export\u003C\u002Fstrong>: export many sizes and formats from presets for print or web\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Optional AI features\u003C\u002Fstrong>: object masks, denoise, and upscale are available when built in\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"target-audience\">Target Audience\u003C\u002Fh2>\u003Cul>\n\u003Cli>Photography enthusiasts and professional photographers\u003C\u002Fli>\n\u003Cli>Studios that retouch photos in batches\u003C\u002Fli>\n\u003Cli>Creators who prefer local, offline tools\u003C\u002Fli>\n\u003Cli>Post-processing users focused on color and quality\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"quick-start\">Quick Start\u003C\u002Fh2>\u003Col>\n\u003Cli>Install darktable from the official website or your distribution's repository\u003C\u002Fli>\n\u003Cli>Open the lighttable view and import the folder containing your photos\u003C\u002Fli>\n\u003Cli>Select a photo, switch to the darkroom view, and adjust modules in the right panel\u003C\u002Fli>\n\u003Cli>Back on the lighttable, rate and tag photos, then filter by rating or tag\u003C\u002Fli>\n\u003Cli>Open the export panel, choose format and size, and export in batch\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"core-advantages\">Core Advantages\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Your originals stay safe\u003C\u002Fstrong>: nothing is ever written into the raw file, so experiments cost nothing\u003C\u002Fli>\n\u003Cli>\u003Cstrong>One complete pipeline\u003C\u002Fstrong>: import, develop, organize, and export all happen in one application\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Works offline\u003C\u002Fstrong>: photos are processed locally with no cloud upload\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Free and open source\u003C\u002Fstrong>: professional-grade features with no subscription\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Reorderable modules\u003C\u002Fstrong>: the module pipeline can be rearranged to match your own workflow\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"system-requirements\">System Requirements\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Requirement\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>OS\u003C\u002Ftd>\n\u003Ctd>Linux, Windows 10 or later, Apple-silicon macOS 15 or later\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>RAM\u003C\u002Ftd>\n\u003Ctd>4 GB minimum, 8 GB or more recommended\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>GPU\u003C\u002Ftd>\n\u003Ctd>NVIDIA recommended (4 GB VRAM, OpenCL 1.2 support)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Disk space\u003C\u002Ftd>\n\u003Ctd>250 MB minimum, 1 GB or more recommended\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"notes\">Notes\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>AI features need a custom build\u003C\u002Fstrong>: object masks, denoise, and upscale are off by default and require enabling AI at build time plus downloading models\u003C\u002Fli>\n\u003Cli>\u003Cstrong>GPU acceleration needs a runtime\u003C\u002Fstrong>: discrete-GPU acceleration requires installing a matching ONNX Runtime build\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Large images are slow\u003C\u002Fstrong>: denoise, local contrast, retouch, and liquify take noticeably longer on modest hardware\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Platform differences\u003C\u002Fstrong>: printing is not yet supported on Windows, and Linux remains the most stable platform\u003C\u002Fli>\n\u003C\u002Ful>\n",1794623963660]