From Camera App to AI Photography Classroom
Adobe Project Indigo is an experimental iPhone camera app that now integrates an AI Playground, using generative AI to offer real-time photo editing, creative restyling, object removal, and automated feedback directly in the shooting workflow so mobile photographers can refine both their images and technique without leaving the app.
Adobe is not just adding another AI photo editing iPhone feature; it is turning the camera into a teacher. The AI Playground arrives in Project Indigo version 1.1 with four sections—Object Editing, Styles, Photo Guidance, and Custom Edit—powered by Google’s Nano Banana generative image model running in the cloud. This means the same app that already borrowed HDR+ ideas from Pixel Camera is evolving from a “restrained, natural” shooter into a live AI studio for generative AI photography. That shift matters: instead of treating AI as a separate step after capture, Adobe is pushing it right to the point where you press the shutter.
Instant AI Edits: Indigo as a Pocket Studio
The most obvious change is how easily Project Indigo now edits reality. Inside AI Playground, Object Editing can remove distractions like people, cars, or signs, and can blur a background to fake shallow depth of field. In practice, this turns a busy street shot into something closer to a controlled portrait studio, all from the same capture screen. Adobe even shows Custom Edit clearing fog from the Golden Gate Bridge and generating the missing structure and city skyline behind it—an aggressive example of how far the model will rewrite a scene.
Styles and Custom Edit go further, treating a photo as raw material for visual experiments. Styles can restyle a snapshot into looks like “Pen and Ink” or “Ink line with color wash” so an ordinary photo starts to feel like an illustration rather than a camera output. Custom Edit opens full prompt-based control, including the ability to convert photos into hand-drawn images in the style of Da Vinci, or turn statues into lifelike photos of people. The tools are capped at 2K pixels and require an internet connection because Nano Banana runs in the cloud, but for mobile-first creators that trade-off buys a powerful pocket studio that stays glued to the moment of capture.
Photo Guidance: Real-Time Critique for Everyday Shooters
The boldest idea in Indigo’s AI Playground is not the editing—it is the coaching. Photo Guidance critiques your photos and suggests how to reshoot for better results or how to edit for the strongest final image. It can even offer these hints before the next frame, effectively giving you a real-time photo critique loop while you are still in the scene. That makes Indigo feel less like a filter app and more like a personal tutor that lives inside your camera.
This dual role—instant edits plus educational feedback—is where Adobe’s move becomes interesting. The team’s stated goal is “to explore how generative AI can assist mobile photographers at the point of capture”. In other words, Indigo isn’t only there to fix mistakes after the fact; it is designed to help you stop making the same composition and lighting errors in the first place. Adobe is already working to add suggestions for cropping and composition, which would turn every casual shoot into a mini workshop. The risk is obvious: some shooters may start trusting AI judgment more than their own eye. But for many beginners, a steady stream of specific, contextual tips is far more useful than vague online tutorials.
Why Adobe Wants AI Inside the Camera, Not After It
Bringing generative AI photography into the camera app itself signals a broader strategy. Indigo launched last year with manual controls and HDR+ style processing, focused on subtle, camera-first output rather than heavy edits. Adding AI Playground marks a deliberate pivot: Adobe wants to reach “phone-first creators who treat a handset as both camera and studio”. Instead of pushing people into big desktop apps, it is embedding creative tools directly into the mobile workflow where most images are actually shot.
The choice to rely on Google’s Nano Banana model rather than Adobe’s own Firefly also reveals how the company sees the future of AI tools. Indigo is effectively an orchestration layer where different models can be swapped, tested on different users, and combined over time. Adobe has said it may test other models with different users and could mix in Firefly later. That suggests a world where the best model for object removal might not be the best for style transfer or critique, and the app’s job is to route your photo to whichever engine does that job best. It is a pragmatic, almost platform-like mindset: your camera becomes a hub for AI services, not a monolithic product tied to a single model.
Experimental Access Now, Bigger Questions Next
For now, AI Playground is intentionally limited. It is available as a free experiment to a small fraction of Project Indigo users for a few weeks, and edits only apply to photos captured inside the app, leaving imported images out of the AI flow. The team has been clear that “we can’t offer it for free forever” and that, if popular, it will eventually become a paid feature. That small-scale rollout lets Adobe watch what people do with real-time photo critique and aggressive generative editing before locking it into a broader product strategy.
In parallel, Adobe is working on provenance—attaching metadata to AI-edited images and relying on invisible watermarks that some models, including Nano Banana, already add. That is a necessary counterweight as the line between captured and generated moments thins and careless workflows risk quietly degrading image quality. Yet the larger pattern is clear: Project Indigo is becoming a testbed for AI photo editing iPhone features that treat learning, shooting, and editing as one continuous loop. If Adobe proves that casual users enjoy an AI coach living inside their camera as much as they enjoy one-tap object removal, we may look back on Indigo’s AI Playground as the moment photography apps stopped being neutral lenses and started acting like opinionated collaborators.
