Adobe's experimental Indigo camera app is shifting focus toward generative AI capabilities, moving beyond its original pitch as a tool for natural, DSLR-style iPhone photography.
Launched last year, Indigo initially positioned itself as delivering superior optical quality and manual controls reminiscent of professional cameras. The app targeted users frustrated with smartphone computational photography defaults. Now Adobe is layering generative AI directly into the shooting experience.
The company is integrating external AI models rather than relying on its own Firefly technology, a notable decision that suggests either technical limitations or strategic partnerships. Adobe has not detailed which models power the new features, leaving questions about data handling and processing costs.
The pivot reflects broader industry patterns. Camera apps increasingly function as post-processing pipelines disguised as capture tools. Adobe's move transforms Indigo from a purist's alternative into something closer to traditional mobile photo editing, just happening in real-time.
Generative tools in camera apps typically handle tasks like background removal, object inpainting, or style transfer during or immediately after capture. This reduces friction compared to desktop editing but raises concerns about authenticity and user agency. Photos generated through heavy AI intervention blur the line between capture and creation.
For Adobe, the strategy likely targets casual iPhone users who won't adopt Lightroom or Photoshop. Indigo becomes an entry point to AI-assisted photography. The decision to skip Firefly suggests either that external models performed better in testing or that Adobe wanted to avoid the processing overhead of running proprietary AI on-device.
The timing matters. Generative AI in cameras has become table stakes for tech companies. Google, Apple, and Samsung all now integrate neural processing into their photo stacks. Adobe cannot afford to ship a camera without AI features, regardless of the original vision.
Whether users want generative AI baked into their camera remains unclear. Some will embrace efficiency gains.