Apple Introduces AI-Powered Photo Editing Tools in iOS 27: Features and Risks
Photo: The Verge
Quick answer
Apple has added three AI-powered photo editing tools to iOS 27: Clean Up (object removal), Extend (frame expansion), and Spatial Reframing (perspective adjustment).
Apple has integrated full-fledged AI-powered photo editing tools into iOS 27 for the first time. The new features, available in a developer beta, include three core tools: Clean Up, Extend, and Spatial Reframing. These allow users to remove unwanted objects, expand image boundaries, and even alter photo perspectives—capabilities previously unavailable in the standard Photos app.
The Clean Up tool, previously limited to on-device processing, now leverages cloud-based models to enhance accuracy. This brings Apple closer to Google Pixel’s long-standing capabilities, where similar features have long delivered high-quality results. Extend enables users to expand photo boundaries by adding realistic details to the edges, though it avoids editing people and operates within a limited range to minimize the risk of generating misleading content.
The most ambitious feature, Spatial Reframing, simulates perspective changes as if the camera had been repositioned. While it allows users to recompose shots, complex scenarios—particularly those involving faces—may produce artifacts and distortions, raising questions about its practical value. Apple attempts to address trust concerns with Synth ID labels, but their effectiveness remains questionable.
Common questions
- What new AI-powered photo editing tools are available in iOS 27?
- iOS 27 introduces three AI tools: Clean Up (removes objects), Extend (expands image boundaries), and Spatial Reframing (adjusts photo perspective). These features are currently in developer beta.
- How accurate are Apple's new AI editing tools?
- The tools perform well in simple scenarios, such as object removal or frame expansion. However, complex cases—like perspective adjustments—may produce artifacts and distortions, especially with faces.
- How does Apple address trust issues with AI-edited photos?
- All AI-edited images receive an Synth ID label to indicate modification. Yet, this system is imperfect, as users may overlook these labels, undermining trust in photo authenticity.
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