Adobe has introduced advanced AI features to its experimental Project Indigo iOS camera app, including real-time photo critiques and automated object removal. These tools aim to refine photography skills and simplify image editing through deterministic, button-driven controls. The move reflects Adobe's ongoing strategy to integrate sophisticated AI models like Google's Gemini Nano into its creative software ecosystem.
Adobe is expanding the capabilities of its experimental iOS camera application, Project Indigo, by incorporating a new suite of artificial intelligence tools. The update focuses on providing users with professional-grade photography feedback and more precise image editing options. This initiative, led by Marc Levoy, represents Adobe’s effort to bridge the gap between complex generative AI and practical, user-friendly photography aids.
AI-Powered Critique and Editing Guidance
The most notable addition is an AI-powered photo critique function that evaluates images based on professional standards. The app provides feedback on technical aspects such as framing, color balance, and lighting. Beyond post-capture analysis, the app offers real-time suggestions within the viewfinder, guiding users to adjust exposure or recompose their shots to remove unwanted distractions before the photo is even taken. This deterministic approach is designed to produce more reliable results than traditional prompt-based generative tools.
Object Removal and Depth Controls
Adobe is also upgrading the app's editing suite with sophisticated object removal features. Unlike many standard applications that require precise manual selection, Project Indigo enables users to easily toggle the removal of common clutter, including wires, fences, vehicles, or people. The app also allows users to generate custom depth-of-field effects to simulate professional background blur, often referred to as bokeh. While the app is also testing AI-driven style transfers that can apply artistic effects to photos, the focus remains on enhancing the quality and composition of images through intelligent assistance.
Integration and Future Development
The features currently reside within an AI playground tab and are being tested by a limited user group. Technically, Adobe is utilizing Google’s Gemini Nano model to power these capabilities but has indicated that it may incorporate its own Firefly models in the future. Adobe’s broader strategy continues to center on integrating AI into its core creative workflows to improve productivity and creative outcomes for users. While these advanced tools are currently limited to a testing phase, they highlight a shift toward more nuanced, AI-assisted photography. For investors, the primary monitorable will be how Adobe transitions these experimental features into its flagship product lineup, such as Photoshop and Lightroom, and whether these integrations lead to increased user engagement or new monetization opportunities in its creative software segment.