Adobe has enhanced its experimental iOS camera app Project Indigo with innovative AI features that critique photos, suggest reshoots, and provide powerful editing tools like intelligent object removal and depth of field simulation.
- AI provides professional photo critiques and reshoot tips
- Smart toggles remove unwanted objects and clutter automatically
- New style transfer and simulated depth of field enhance creativity
What happened
Adobe has expanded its Project Indigo iOS camera app with multiple new AI-powered functionalities. These include detailed photo critiques that evaluate framing, lighting, colors, and emotional impact, as well as suggestions for reshooting to improve composition and exposure. The app also incorporates intelligent object removal allowing users to toggle off elements like people, trash, wires, and vehicles with impressive accuracy.
Additionally, the update introduces AI-generated depth of field effects to simulate background blur and an experimental style transfer feature offering visual treatments such as watercolor or ink tones. These tools leverage large language models to create more determinative outputs rather than relying solely on prompt-based editing flows.
Why it matters
Project Indigo's advancements move beyond typical AI photo editing by providing users with contextual feedback designed to improve photography techniques rather than just automating edits. The photo critique and reshoot suggestions help users develop an eye for composition and lighting, making the app valuable for both novices and semi-professionals.
The intelligent object removal feature reduces manual effort for a task common in photography apps but typically requiring precise user input. Meanwhile, the inclusion of style transfer and depth effects expands creative possibilities within one camera interface. These developments underscore Adobe's commitment to integrating AI meaningfully into mobile photography workflows.
What to watch next
Currently, these features are available only in a testing phase through an AI playground tab for select Project Indigo users. Adobe may further refine the models and UI based on feedback before deciding on a wider public release. The company is also open to swapping the AI backend between Google’s Gemini-based Nano Banana and its own Firefly models, indicating continued AI experimentation.
Observers should watch how Adobe balances determinative AI suggestions with user control and how well the critique functions resonate with casual and professional photographers. The success of smart object removal and style tools may influence broader adoption of integrated AI enhancements across Adobe’s mobile and desktop photo-editing products.