Adobe’s experimental camera app offers a more controlled approach to iPhone photography. Here is what it does, where it helps, and when Apple’s Camera app remains the better option.

Adobe Project Indigo is an experimental camera app for iPhone and iPad. It combines computational photography with manual controls, RAW capture, and Adobe’s editing workflow.
Unlike the default iPhone Camera app, which is designed for fast capture and immediate results, Indigo uses multi-frame processing to create a more natural image. It aims to preserve highlight detail, maintain stronger contrast, and reduce the heavily processed appearance often associated with smartphone photography.
This Project Indigo review explains how the app works, compares it with Apple’s Camera app, examines its RAW and AI features, and identifies the users who are most likely to benefit from it.
Project Indigo is worth testing if you want manual controls, computational DNG RAW files, and a less processed image style. It is not a complete replacement for the iPhone Camera app because it is slower and does not provide the same breadth of everyday shooting features.
| Category | Project Indigo | iPhone Camera App |
|---|---|---|
| Image style | More restrained and photography focused | Bright, polished, and ready to share |
| Manual controls | Shutter, ISO, focus, white balance, and exposure controls | Limited manual control in the standard interface |
| RAW workflow | Computational DNG support | RAW support on selected Pro models |
| Processing speed | Slower because of multi-frame processing | Faster for everyday capture |
| Best use case | Controlled still photography and editing | Quick photos, video, and moving subjects |
Use Project Indigo when you want to control the capture and editing process. Use Apple’s Camera app when speed, video, or reliability matters more.
Project Indigo is an experimental computational photography camera from Adobe Labs. Adobe designed it to explore how mobile cameras can combine advanced image processing with controls normally associated with dedicated cameras.
Most smartphone cameras automatically adjust exposure, color, sharpening, noise reduction, and HDR balance. That approach produces attractive images quickly, but it can also create an overly bright or heavily processed result.
Indigo takes a different approach. It can capture several frames for one photograph and combine them into a final image. This process can improve noise control, dynamic range, and detail while preserving a more restrained appearance.
The app is therefore aimed at two different groups. Photographers may appreciate the additional control and editing flexibility. Casual users may prefer the faster workflow of Apple’s Camera app.
Compatibility should be checked before downloading the app. Computational photography requires substantial processing power, so the experience can vary between supported devices.
| Requirement | Current information |
|---|---|
| Supported phones | iPhone 12 Pro and newer Pro models, plus selected newer non-Pro models |
| Operating system | iOS 18.5 or later |
| Recommended device | iPhone 15 Pro or newer |
| Tablet support | Initial iPad support is listed by Apple |
| Storage | Extra space is recommended for photos and downloadable models |
Older supported devices may take longer to process images and may consume more battery during extended shooting. Adobe’s community guidance also recommends keeping at least 1GB of free storage for the app, models, and captured photos.
The main difference between Indigo and the standard iPhone Camera app is the way each system processes the image.
Apple’s camera generally prioritizes a polished result that looks good immediately on a phone screen. Indigo aims for more controlled highlights, deeper shadows, and less aggressive sharpening.
Neither approach is automatically better. A bright HDR image may be preferable for immediate sharing. A darker and more restrained file may be more useful if you plan to edit it later.
Indigo may be a better fit if you prefer:
Photo mode is designed for general still photography. It keeps the capture process simple while applying Indigo’s computational processing.
Night mode combines multiple exposures to reduce noise in low-light scenes. It is most useful for stationary subjects such as buildings, landscapes, and indoor still life. Moving people or objects can produce motion artifacts because the app needs several frames to create the final image.
Long Exposure mode can produce effects such as smooth water and light trails. A stable phone position is important because the image is created by combining multiple frames.
The app provides controls for:
It also includes a focus magnifier, live histogram, zebra warnings, and a level indicator.
Two controls are especially relevant to computational photography:
This setting controls how many frames are combined during capture. More frames can reduce noise, but they can also increase processing time and the risk of movement between frames.
This setting exposes part of the processing decision that is normally hidden inside a smartphone camera. Experienced photographers may use it to fine-tune the balance between image quality and capture speed. Most beginners can leave it on automatic settings.
One of the strongest reasons to try Project Indigo RAW is its integration with Lightroom and Photoshop.
The app can save JPEG files and computational DNG RAW files. These DNG files may contain information from multiple merged frames rather than a single exposure. This creates a different type of RAW workflow from a traditional camera.
The main advantage is post-processing flexibility. Users can adjust:
This feature is most useful for photographers who already edit in Lightroom Mobile, Lightroom Classic, or Photoshop. For users who rarely edit photos, RAW files may add storage requirements and extra steps without providing much practical value.
Indigo uses multi-frame processing to improve detail at non-native zoom levels. This can be useful for distant architecture, signs, landscapes, and other subjects beyond the phone’s optical range.
Results depend on light, subject movement, lens quality, and camera stability. Check for artificial textures, halos, and inconsistent fine detail before treating the feature as a replacement for optical zoom.
The app also includes experimental tools such as AI Denoise, Remove Reflections, and Face Dewarp. These features are intended to demonstrate technology that may later appear in Adobe’s wider photography products.
The most useful comparison is based on matched scenes rather than one sample image. Use the same iPhone, lens, framing, and lighting conditions whenever possible.
| Test scene | What to compare | What it reveals |
|---|---|---|
| Bright sky and dark foreground | Highlight detail and HDR processing | Which image style suits your preference |
| Indoor low light | Noise, detail, and processing time | Whether multi-frame processing helps |
| Zoomed subject | Detail and artificial texture | How useful super-resolution is |
| Moving subject | Motion blur and shutter response | Whether the app suits spontaneous photography |
| JPEG and RAW workflow | Exposure recovery and color flexibility | Whether editing justifies larger files |
In bright outdoor scenes, Apple’s Camera app usually produces a polished result with lifted shadows and strong HDR processing. Indigo often produces more restrained highlights, deeper shadows, and a stronger sense of contrast.
Photographers who dislike excessive HDR may prefer Indigo. Users who want a bright image that can be shared immediately may prefer Apple’s processing.
For a useful test, photograph a building against a bright sky, a person near a window, and a landscape with both sunlit and shaded areas. Compare the sky detail, shadow information, color consistency, and editing flexibility.
Indigo’s multi-frame approach is most visible in low light. A stationary building may benefit from cleaner detail and lower noise. A moving street scene may favor Apple’s faster workflow because it reduces the time between capture and the final image.
Test both a stationary subject and a moving subject. This will show whether the app’s processing method matches the way you normally take photos.
Independent hands-on reports from The Verge, Tom’s Guide, Android Authority, and other publications have described slower processing, device heat, and higher battery use during extended shooting. The exact result depends on the iPhone model, shooting mode, resolution, and number of merged frames.
Before making Indigo your primary camera, measure:
The Project Indigo AI Playground adds experimental generative editing and photography guidance tools. It expands the app beyond image capture, but it should be evaluated separately from the core camera system.
Adobe’s official announcement states that the initial experience uses Google’s Nano Banana model. Because the model is cloud based, an internet connection is required. Generated results are approximately 2K pixels on a side, which is lower than the original capture.
Indigo is a good choice for users who:
Apple’s Camera app is likely more suitable for users who:
Project Indigo is not a universal replacement for Apple’s Camera app. It is a specialized photography tool that gives users more control over computational processing, RAW capture, and image style.
It is worth trying if you care about natural contrast, highlight preservation, manual controls, and Lightroom editing. It is less suitable as the only camera for users who need fast snapshots, reliable video, portrait features, and a complete everyday workflow.
The most practical solution is to use both apps. Keep Apple’s Camera app for video, quick moments, and moving subjects. Use Indigo when image character, control, or editing flexibility matters more than speed.
It can provide a more natural image style and more manual control. Apple’s Camera app remains stronger for speed, video, and general convenience.
Yes. The app supports computational DNG RAW files that can be edited in Lightroom and Photoshop.
Traditional RAW usually stores sensor data from one exposure. Indigo RAW may include data from multiple computationally merged frames, creating a different editing workflow.
Adobe’s current public information focuses on iPhone and initial iPad support. An Android version has not been officially announced.
Yes. Adobe’s current AI Playground experience uses cloud based processing.


















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