via The Verge AI
Apple’s New AI Photo Editing Tools Are Impressive — But Hit and Miss
## What Is a Photo, 2026 Edition
Apple’s latest iOS 27 update introduces a suite of AI-driven photo editing features that are, by and large, functional and clever — though not without their frustrations. The new tools, which leverage on-device machine learning, aim to simplify complex edits, from object removal to lighting adjustments, but the results can vary dramatically depending on the scene.
The most talked-about addition is arguably the enhanced "Clean Up" tool, which builds on earlier object-removal capabilities. It now uses a more advanced segmentation model that can better distinguish between foreground subjects and backgrounds, even in challenging scenarios like overlapping elements or fine details like hair and foliage. In many tests, the tool performs admirably, seamlessly erasing unwanted photo bombers or clutter with just a few taps. However, it still struggles with reflections, transparent objects, and intricate textures — occasionally leaving behind telltale smudges or ghosting artifacts.
Other updates include adaptive exposure adjustments that now factor in depth information, allowing for more natural-looking HDR effects, and a new "Scene Optimizer" that automatically balances shadows and highlights. These work best in well-lit, straightforward compositions; in low-light or high-contrast shots, the AI can overcorrect, washing out intended mood or drama.
On the upside, the tools are deeply integrated into the Photos app, making them easily accessible without third-party apps. The processing is fast, thanks to the powerful neural engines in the latest iPhones and iPads, and all editing is done on-device for privacy.
On the downside, the AI sometimes misinterprets the user’s intent — for example, brightening a face it thinks is underexposed when the user wanted to preserve a silhouette. There’s also a learning curve: Apple has added new gesture controls and context menus that may confuse casual users at first.
As with any AI tool, it’s a trade-off between convenience and control. Apple’s approach is clearly aimed at making professional-quality edits accessible to everyone. For most everyday photos, the results are genuinely impressive. But for those who demand pixel-perfect precision, the new tools are a helpful starting point — not a replacement for manual fine-tuning.
In the broader context of 2026’s AI landscape, Apple is taking a cautious but confident step. By keeping processing local and focusing on reliability over flashy gimmickry, the company continues its tradition of thoughtful, if imperfect, innovation. The tools work — mostly. And for better or worse, they are changing how we define a "natural" photo.