AI Usage at a Glance
Apr 14, 2021
OtherPractice documented: DxO offers DeepPRIME, a machine learning-powered engine built into DxO PhotoLab and DxO PureRAW that automatically reduces digital noise and converts RAW photo data into cleaner, sharper images. The engine, first introduced in DxO PureRAW 1 in 2021, processes RAW image files locally on the user's computer without sending data to the cloud.
Practice DocumentedView practice →Sep 1, 2025
OtherPractice documented: DxO offers AI Masks in DxO PhotoLab 9, a tool that uses machine learning to instantly identify and isolate specific subjects — such as skies, faces, hair, people, animals, or backgrounds — so photographers can apply targeted adjustments to those areas. The feature was introduced in DxO PhotoLab 9 in October 2025 and runs entirely on the user's local device.
Practice DocumentedView practice →Oct 1, 2025
OtherNew evidence: Introducing DxO PhotoLab 9: Intelligent RAW photo editing redefined
Evidence AddedView practice →Nov 1, 2025
OtherNew evidence: DxO PhotoLab 9.2: AI Masks get even smarter, with workflow upgrades to match
Evidence AddedView practice →Dec 20, 2025
OtherNew evidence: DxO PhotoLab 9 AI-Powered RAW Editing That Actually Respects Photographers
Evidence AddedView practice →Mar 1, 2026
ProductivityPractice documented: DxO offers an AI Sensor Dust Removal System in DxO PureRAW 6, released in March 2026, that automatically detects and removes sensor dust marks from entire batches of RAW photos. The system runs locally on the user's computer and allows photographers to adjust how aggressively it searches for dust spots.
Practice DocumentedView practice →Mar 1, 2026
OtherNew evidence: DeepPRIME XD3: Fourth-generation AI denoising and demosaicing
Evidence AddedView practice →Mar 1, 2026
OtherNew evidence: DxO DeepPRIME: Still the world's best AI denoising tool
Evidence AddedView practice →Mar 1, 2026
OtherNew evidence: DxO PureRAW. The software that reveals the true quality of your RAW files.
Evidence AddedView practice →Mar 5, 2026
ProductivityNew evidence: DxO PureRAW 6 Released: AI Noise Reduction and Sensor Dust Cleanup for RAW Files
Evidence AddedView practice →Apr 1, 2026
OtherPractice documented: DxO offers AI Masks and Depth Masks in Nik Collection 9, released in April 2026, which use on-device AI to help photographers make precise local adjustments to specific subjects or depth zones within a photo. The tools run locally on the user's machine without sending image data to external servers.
Practice DocumentedView practice →Apr 21, 2026
OtherNew evidence: DxO Nik Collection 9 Has AI Masking, More Filters, and New Blending Modes
Evidence AddedView practice →DxO offers AI Masks and Depth Masks in Nik Collection 9, released in April 2026, which use on-device AI to help photographers make precise local adjustments to specific subjects or depth zones within a photo. The tools run locally on the user's machine without sending image data to external servers.
Nik Collection 9 introduces two distinct AI-powered masking tools. The first, AI Masks, lets users isolate specific subjects by clicking on them or drawing a bounding box; the AI then generates a pixel-precise selection. The second, Depth Masks (available in Color Efex and Silver Efex), analyzes a 2D photo to estimate depth and create a map of foreground-to-background distance, allowing photographers to apply adjustments selectively by distance from the camera — even when the image file contains no embedded depth data. Both tools complement the existing U Point manual selection technology in the Nik Collection suite.
DxO offers AI Masks and Depth Masks in Nik Collection 9, released in April 2026, which use on-device AI to help photographers make precise local adjustments to specific subjects or depth zones within a photo. The tools run locally on the user's machine without sending image data to external servers.
DxO offers AI Masks in DxO PhotoLab 9, a tool that uses machine learning to instantly identify and isolate specific subjects — such as skies, faces, hair, people, animals, or backgrounds — so photographers can apply targeted adjustments to those areas. The feature was introduced in DxO PhotoLab 9 in October 2025 and runs entirely on the user's local device.
DxO offers DeepPRIME, a machine learning-powered engine built into DxO PhotoLab and DxO PureRAW that automatically reduces digital noise and converts RAW photo data into cleaner, sharper images. The engine, first introduced in DxO PureRAW 1 in 2021, processes RAW image files locally on the user's computer without sending data to the cloud.
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DxO offers AI Masks in DxO PhotoLab 9, a tool that uses machine learning to instantly identify and isolate specific subjects — such as skies, faces, hair, people, animals, or backgrounds — so photographers can apply targeted adjustments to those areas. The feature was introduced in DxO PhotoLab 9 in October 2025 and runs entirely on the user's local device.
Photographers activate AI Masks by clicking on part of an image, drawing a bounding box, or selecting from predefined subject categories (sky, face, hair, background, people, animals). The machine learning model produces pixel-level selections that photographers then use to apply local corrections such as exposure, noise reduction, or color adjustments only to the selected area. Version 9.2 (released November 2025) improved edge precision and sensitivity thresholds; version 9.6 (March 2026) added feathering controls. All AI processing occurs on the user's local machine, without uploading images to external servers.
DxO offers an AI Sensor Dust Removal System in DxO PureRAW 6, released in March 2026, that automatically detects and removes sensor dust marks from entire batches of RAW photos. The system runs locally on the user's computer and allows photographers to adjust how aggressively it searches for dust spots.
When a camera's image sensor accumulates dust, tiny dark spots appear repeatedly across photos, particularly visible in areas such as plain skies. The AI Sensor Dust Removal feature in PureRAW 6 analyzes RAW image files to detect these spots and remove them automatically across entire batches of images in seconds, without requiring the photographer to manually identify and clone-stamp each spot individually. Users can adjust a sensitivity threshold to control how aggressively the tool hunts for spots before processing. All processing occurs on the user's local machine.
