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Adobe camera app’s new feature will critique your photos using AI
Adobe is expanding its experimental iOS camera app, Project Indigo, with a suite of AI-powered features that critique users' photos and suggest edits, using large language models. Led by Marc Levoy, formerly behind Google Pixel's camera technology, the update reflects a broader industry push to make generative AI tools more useful for everyday photographers by offering deterministic, button-based outputs rather than requiring users to craft prompts themselves.
The new tools include a "photo critique" feature offering a professional-style assessment of framing, lighting, colour and emotional impact, alongside capture and edit suggestions that recommend reshoots or Lightroom-style adjustments. Other additions include advanced object removal with toggles for clutter such as people, wires and vehicles, AI-generated depth-of-field blur, and style transfer options like watercolour or ink-wash effects. The features, built on Google's Nano Banana model but potentially adaptable to Adobe's own Firefly, are housed in a new "AI playground" tab and are currently limited to select testers, with no guarantee of a full public release.
In short
- Adobe's Project Indigo app adds AI photo critique and editing suggestions
- New tools include object removal, depth-of-field blur and style transfer
- Features use Google's Nano Banana model; currently in limited testing only
Explained simply
Project Indigo is an experimental camera app from Adobe that helps iPhone users take and improve photographs. The company is adding artificial intelligence features that can analyse photos and suggest improvements, following a broader industry trend to make AI tools practical for everyday use.
The project is led by Marc Levoy, a veteran of Google's camera technology work. This reflects tech companies' efforts to find everyday applications for artificial intelligence that don't require specialist knowledge—tools that work with simple buttons rather than complex instructions.
Photography and creative tools have become a major focus for AI development as companies explore ways to automate tasks that previously required significant technical skill or manual effort. Making these features practical and accessible to ordinary users is a key goal for the industry.