Project Indigo
Experimental computational photography camera app with AI-powered editing tools and manual controls
Project Indigo is a free experimental iPhone camera app that delivers DSLR-like image quality through advanced computational photography. The app features full manual controls (shutter speed, ISO, white balance, focus), multi-frame image combining (up to 32 frames), and a natural SLR-style look. The newest AI Playground feature (currently in limited beta) adds generative AI tools including object editing for distraction removal, stylistic art filters, custom editing via text prompts, and AI-powered photo critique that provides suggestions for composition and exposure. The app integrates with Adobe Lightroom and exports raw DNG files for advanced editing.
Who it's for
Pricing · free
checked today| Plan | Price | Includes |
|---|---|---|
| Free | Free | Full camera app with manual controls · Multi-frame image combining · Night mode and long exposure · AI Playground features (limited beta rollout) · Raw DNG and JPEG export · Integration with Lightroom · No sign-in required |
AI-researched pricing — verify on the official site before subscribing.
Use it for
- — Mobile photography with manual control
- — Computational night photography
- — Raw image capture on iPhone
- — AI-powered photo editing and critiques
- — Learning and advancing photography skills
- — High dynamic range image capture
- — Photo style transformation
Get the most out of it
- 01Use on iPhone 15 Pro or newer for optimal performance as the app is computationally intensive
- 02Be patient with multi-frame processing—avoid switching apps while images are saving to prevent loss
- 03Access Technology Previews via the flask icon to test cutting-edge features like AI Denoise and Remove Reflections before they reach Lightroom
- 04Try the AI Playground's Custom Edit feature to transform artwork or paintings into photorealistic images
- 05Capture in Night mode with manual frame merging control (1-32 frames) for professional-quality long exposure shots and noise reduction