Capture bursts of up to 8 RAW photos, align and merge them with custom TensorFlow models running entirely on-device. Full manual control over ISO, exposure, and white balance. AI auto mode for quick shots.
View on App StoreCapture up to 8 RAW frames in a single burst. The camera pipeline handles alignment, exposure bracketing, and buffer management. Every frame is a full-resolution RAW file ready for ML processing.
Custom TensorFlow models align and merge the burst stack on-device. Noise reduction, ghost removal, and HDR tone mapping happen in one pass. The result looks like a DSLR shot.
Full manual control over ISO, exposure, white balance, and focus. EV presets for quick adjustments. Shoot in auto mode or take complete control — the interface adapts to your skill level.
Edit merged photos with pro-level tools: color grading, vibrance, skin smoothing, depth control, de-ghosting. Apply presets or create your own. Every edit is non-destructive.
Import photos or HDR brackets from any camera or app. Run them through the same ML merge pipeline. Get DSLR-quality results from any source, not just the in-app camera.
Native iOS app built for performance-critical camera and image processing pipelines.
On-device ML models for frame alignment, noise reduction, and HDR merging.
GPU-accelerated image processing for real-time preview and editing operations.
Apple's image processing framework for filters, color adjustments, and compositing.
Low-level camera control for RAW capture, burst mode, and exposure bracketing.
Design system for the camera interface, editing tools, and preset management.
Learning pro-level photography was one of the best parts of this project. Our team now speaks fluently about exposure bracketing, tone mapping, and color science. Domain expertise made better software.
Building custom TensorFlow models that run entirely on the phone was the most challenging and rewarding part. No server round-trips, no latency, no privacy concerns. The phone does everything.
This project showed us that machine learning can solve problems we thought were impossible on mobile. It pushed our AI team further and opened new capabilities we now bring to every project.