Adobe Project Indigo: An AI Camera App for Shooting and Fixing in One Place
Adobe Project Indigo is an experimental AI camera app for iPhone that combines manual controls, computational photography, real-time photography feedback, and generative photo editing so users can capture, critique, and transform images within a single interface at the moment of shooting. The core move here is strategic: Adobe is trying to pull the entire photo workflow — from composition hints to distraction removal and stylized edits — into the camera itself. Instead of snapping a picture and then bouncing to separate editing apps, mobile photographers are nudged to think of the capture screen as a creative control room. That shift matters. It treats AI not as a bolt-on filter, but as a constant companion while you shoot — guiding your decisions, cleaning up your mistakes, and encouraging creative risk right where photos begin.
AI Playground: Generative Photo Editing Built into the Viewfinder
The new AI Playground inside Adobe Project Indigo is the clearest sign that the iPhone camera is becoming a generative studio as much as a lens. Adobe’s Nextcam Team describes the goal bluntly: “to explore how generative AI can assist mobile photographers at the point of capture.” Instead of waiting to get back to a desktop editor, AI Playground’s Object Editing, Styles, Photo Guidance, and Custom Edit sections let you remove elements, restyle, and rethink shots on the spot. This is not subtle enhancement; it can convert snapshots into drawings, paintings, or photorealistic reinterpretations and even turn sketches or statues into photo-like images. That level of generative photo editing in a camera app iPhone owners carry everywhere blurs the line between photography and illustration — and it does so intentionally, inviting mainstream users to treat the camera as a storytelling engine rather than a passive capture tool.
Under the hood, AI Playground currently runs on Google’s Nano Banana model, which Adobe may swap out or A/B test with other models over time. That technical detail is less important than the philosophy behind it: models are interchangeable, the experience is what matters. If AI Playground proves popular, Adobe says it “can’t offer it for free forever” and will eventually ship a paid version. In other words, generative photo editing is not a gimmick trial; it’s being positioned as a potential core feature of the Indigo ecosystem and a revenue stream in its own right.
From Distraction Removal to Custom Object Editing
One of the most practical — and revealing — aspects of AI Playground is how aggressively it attacks visual distractions. Object Editing offers buttons for categories like people, cars, or signs that can be wiped from a scene, and can blur backgrounds to mimic shallow depth of field, all through neural-network-powered tools. That means an otherwise unusable street photo can become a quiet portrait, and a cluttered tourist shot can look like a private moment. The app even reaches further: a Custom Edit option lets you type what you want removed, like fog hiding the Golden Gate Bridge, and Indigo removes the fog while generating the missing bridge and city detail behind it. This is more than clean-up; it’s reconstruction, and it raises a pointed question for mobile photography: when the camera can rewrite reality this easily, how much of what we share is still documentary, and how much is curated fiction?
AI Photography Feedback: A Critic Living Inside Your Camera
Where Indigo gets especially interesting is its AI photography feedback. Photo Guidance can critique a shot you just took, call out what works, and offer targeted suggestions on how to reshoot or edit for a stronger result. Adobe likens this to the way software already summarizes résumés or emails, but here the critique focuses on composition, distractions near the frame edges, and ways to improve. Crucially, Adobe wants this guidance to be specific to each phone’s hardware — for example, whether your device has fixed dual lenses or a smooth zoom — so not all users receive generic advice. That is a bold stance: your camera app is no longer a neutral tool; it’s an opinionated tutor. With this, Project Indigo positions the AI camera app iPhone owners use as a teaching platform that quietly trains them to shoot like experienced photographers rather than casual snappers.
A Limited Experiment That Signals Adobe’s Mobile Ambition
Right now, AI Playground is a tightly controlled experiment, available free to “a few percent” of Project Indigo users and only for a few weeks. Adobe is explicit about the stakes: “Our goal is to learn how people use GenAI-powered editing. Depending on its success we may extend the experiment, or expand the user pool, or run follow-on experiments.” If people embrace it, a paid, full-featured release inside Indigo is on the table. That cautious rollout shows Adobe knows it is tampering with the DNA of mobile photography. Project Indigo, launched last year as a free computational photography app with manual controls, HDR+ style capture, and natural-looking results, is now the testbed for turning AI into a default part of how everyday users shoot and fix photos on their phones. Whether that excites or alarms you, one thing is clear: the future of consumer photography is being negotiated inside the camera app itself.
