Adobe has expanded its camera app with AI-powered photo critique functionality through Project Indigo. The feature analyzes images captured directly in the app and provides real-time feedback on composition, lighting, exposure, and other technical elements.

The update builds on Adobe's existing background removal capability, which now handles diverse environments and subject types more effectively than previous iterations. Users can strip away backgrounds with greater precision across indoor, outdoor, and studio settings without manual masking.

The AI critique system works by evaluating several photographic fundamentals. It assesses framing and composition alignment, identifies overexposure or underexposure problems, and flags focus issues. The system compares against established photography principles and offers specific suggestions for improvement before users save or edit their shots.

This positions Adobe's camera app as both a capture tool and a learning platform. Amateur photographers get instant feedback that historically required years of experience or external critique to develop. The combination of background removal and AI coaching addresses two common pain points for casual photographers. Removing backgrounds simplifies post-production work that typically demands desktop software. AI feedback reduces the trial-and-error phase many users experience when learning composition fundamentals.

Adobe integrates this with its broader Creative Cloud ecosystem. Approved edits flow directly into Lightroom or Photoshop for further refinement. The company leverages its photography expertise accumulated over decades to train the critique model, avoiding generic feedback systems that competitors have deployed.

The feature rolls out across iOS and Android, making AI-assisted photography coaching available to mobile users globally. Adobe hasn't announced pricing changes, though the enhancement likely factors into future subscription discussions as the app's capability expands.

This reflects a broader trend where AI assistance moves upstream in creative workflows. Rather than refining finished photos, tools now guide decisions during capture itself. For Adobe, it deepens user dependency on its ecosystem while genuinely improving photo quality for non-professionals who lack formal training