Adobe Lightroom mobile adds AI eye-opening feature for photos
2 sources · The Verge AI · The Verge- Boom: Lightroom mobile uses generative AI to open closed eyes in photos with one tap
- Boom: Feature works on iOS, iPadOS, and Android, covering both individuals and groups
- Boom: App automatically detects closed eyes and surfaces the Open Eyes Quick Action icon
- Neutral: Adobe announced the feature on October 19, 2026
The story in full
Adobe announced on October 19, 2026 that the mobile version of Lightroom, available on iOS, iPadOS, and Android, can now use generative AI to open closed eyes in photos with a single tap. When the app detects closed eyes on one or more people in a photo, it automatically surfaces a new Open Eyes Quick Action as an icon overlaid on the image.
The feature targets a common photography problem: otherwise good shots ruined by closed eyes. The app handles both individual subjects and group photos by detecting affected people and presenting the correction option directly in the editing interface.
Analysis
357 wordsOn October 19, 2026, Adobe announced that Lightroom mobile, available on iOS, iPadOS, and Android, now includes a generative AI feature that opens closed eyes in photos with a single tap. The app automatically detects when one or more people in a frame have their eyes closed and surfaces a new Open Eyes Quick Action as an icon overlaid directly on the image. The feature is designed to work across both individual portraits and group shots, handling the detection and correction within the editing interface without requiring the user to navigate through menus.
The update addresses one of the more persistent frustrations in everyday photography, where an otherwise well-composed shot is spoiled by a blink at the wrong moment. What makes this notable beyond convenience is that it represents Adobe, a dominant player in professional and consumer image editing, normalizing AI-generated content within photographs in a mainstream mobile app. The feature does not restore what was in the original frame but synthesizes eye-open versions of the subjects, which raises questions about authenticity, disclosure, and where the line sits between editing and fabrication, particularly for photojournalism or legal contexts.
None of the three camps have published specific reactions to this story yet. The Pro-AI camp would typically welcome this as exactly the kind of practical, low-friction tool that demonstrates AI improving everyday creative work without displacing human intent. The Anti-AI camp would be expected to raise concerns about AI-generated facial content being embedded seamlessly into photographs, arguing it erodes trust in photographic records and sets a troubling precedent for deeper manipulations. The Middle Ground camp would likely acknowledge the genuine utility of the feature for casual photography while pressing for clearer metadata standards or disclosure mechanisms so edited images can be distinguished from unaltered ones.
The broader debate around this feature may sharpen as professional photography organizations and platform content policies respond to AI-synthesized facial features becoming a one-tap option for millions of users. How Adobe handles metadata tagging for images processed with Open Eyes, and whether app stores or social platforms introduce any handling requirements, would be concrete things to watch in the months following the launch.
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