What Project Indigo actually does (from App Store listing)
Welcome to Project Indigo, a new camera experience from Adobe Labs. With a custom computational photography pipeline, a natural image look, and full set of manual camera controls, it offers something for professional and casual photographers alike. Also with new controls for computational cameras and a glimpse into the future of AI image processing on our Tech Previews page.
Available for iPhone 12 and 13 Pro/Pro Max, and all 14, 15, 16, or 17-series devices, and initial support for iPads.
For…
Welcome to Project Indigo, a new camera experience from Adobe Labs. With a custom computational photography pipeline, a natural image look, and full set of manual camera controls, it offers something for professional and casual photographers alike. Also with new controls for computational cameras and a glimpse into the future of AI image processing on our Tech Previews page.
Available for iPhone 12 and 13 Pro/Pro Max, and all 14, 15, 16, or 17-series devices, and initial support for iPads. For best experience we recommend using iPhone 15 Pro or newer.
A COMPUTATIONAL PHOTOGRAPHY CAMERA
Instead of capturing a single photo, for every shutter press Indigo captures a burst of photos and combines them together to produce a high-quality photo with lower noise and higher dynamic range.
PHOTO MODE VS NIGHT MODE
Photo mode is intended for everyday use in good lighting and has zero shutter lag, meaning it captures the moment you wanted.
Night mode is intended for use in low light. In this mode images are captured after you press the shutter button, but use longer exposure times, further reducing noise.
NATURAL LOOK
Photos produced by Indigo employ computational photography and AI to produce a natural (SLR-like) look for your photos, including special (but gentle) treatment of subjects and skies. This look is applied when generating JPEG images and is embedded as a rendering suggestion in raw DNG files (if enabled). All raw pixels remain intact – the look does not alter them.
PRO CONTROLS
Take full control of how Indigo captures the image: manually specify focus, exposure time and ISO, exposure compensation, or white balance. Includes an optional magnified loupe for setting precise focus, and white balance control allows you to tap on an object known to be neutral gray.
Unique to Indigo’s Night mode is manual control over the number of frames aligned and merged into a final photo. More frames result in lower noise but longer capture time. There is also a Long Exposure mode: if the phone is on a tripod, this allows the capture of synthetic long exposure effects like “water-into-silk" with infinite number of frames where the camera captures and merges images until stopped.
SUPER-RESOLUTION FOR ZOOM
Using pinch-to-zoom in any camera app often results in image quality loss. To recover the image Indigo employs multi-frame super-resolution which can restore much of the lost quality. ‘SR’ indicator on the zoom buttons shows when it is active.
MACRO MODE
Enable Macro from the viewfinder and capture stunning close-up shots.
VIEWFINDER
Provides a view of the camera parameters that will be used for capture, a live histogram of the scene, zebra striping that shows you where there are over-exposed areas in the image, and a level to help you capture straight images.
LIGHTROOM INTEGRATION
Adobe Lightroom for mobile is the most powerful photo editor in the App Store. Indigo filmstrip allows you to send an image directly to Lightroom mobile app for editing. In addition, our raw DNG files provide maximum compatibility with Adobe Lightroom and Photoshop.
TECHNOLOGY PREVIEWS
Technology Previews will be a place where we will offer an early look at technologies that may eventually be deployed in Adobe’s flagship products, or that already appear in these products in a slightly different form: - AI Denoise is a variant of the AI-based denoising from Camera Raw and Lightroom desktop clients. It uses DNG as input, and it saves a new DNG to your camera roll. - Remove Reflections is a variant of the technology from Camera Raw and Lightroom desktop clients. It uses DNG as input, and it saves a medium-resolution JPEG to your camera roll. It tries to remove reflections when shooting through plate glass windows covering most of the camera field of view. - Face Dewarp corrects warp on faces near the edge of images captured using wide-angle lenses. It uses DNG or JPEG as input and saves a JPEG to your camera roll.
🆕 What's new · v1.1.1
AI Playground sign-up
- If you weren't selected for the experiment, you can now apply for access via Apple’s TestFlight app. Tap the AI Playground icon in the filmstrip and fill in the form with your email address to request access. NOTE: slots are limited and will be filled on a first-come, first-served basis.
AI Playground experiment improvements:
- Custom edit now saves a history of the last 10 edits.
- Cleaned up the multi-select experience and Cancel/Save/Delete workflow.
- Improved the onboarding experience when the last photo in the Camera Roll was not captured with Indigo.
- Added a confirmation dialog when dismissing the current session so the generations are not irreversibly lost.
- Shows a label for the last feature used to generate the photo for easier navigation during a session.
- Disabled the filmstrip long-press gesture while in AI Playground mode, as it could leave the UI in an inconsistent state.
- AI Playground is now locked in portrait orientation.
- Various minor improvements and bug fixes.
Other improvements:
- Reduced the delay for the stability indicator to transition from shaky to stable, which should improve quality in some low-light situations.
- Tuned per-frame exposure time in Night mode to favor longer exposures. Total capture duration remains the same.
Comparable iOS apps
The five apps in Photo & Video with the closest revenue to Project Indigo. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and GetAppValue's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on Project Indigo's tracker page for current rating, reviews and snapshot timeline.
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