Adobe has quietly launched a new computational photography app for iPhones, called Project Indigo, developed by Adobe Labs.
The free app leverages cutting-edge imaging techniques to deliver high-quality, low-noise photos with improved dynamic range, using multi-frame photo capture and processing.
What makes Indigo particularly noteworthy is the involvement of Marc Levoy, the imaging expert behind Google’s groundbreaking Pixel camera tech. Now an Adobe Fellow, Levoy has teamed up with senior scientist Florian Kainz to build what they describe as a “universal camera app.”
Indigo is available for the iPhone 12 Pro / Pro Max, iPhone 13 Pro / Pro Max, and all iPhone 14 models and newer, though Adobe recommends the iPhone 15 Pro or newer for the best experience. Users do not need an Adobe login to use the app.
Unlike standard camera apps, Indigo captures a burst of images and merges them for superior results. It also provides full manual controls for photography enthusiasts, including focus, shutter speed, ISO, and white balance, while aiming to create an “SLR-like” natural look in photos.
For those curious about the tech under the hood, Adobe has published an in-depth blog post explaining Indigo’s image processing pipeline and computational photography techniques. Sample images and an online photo album showcase the app’s capabilities.
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