Adobe's Project Indigo Camera App Gains AI-Powered Photo Critique and Expanded Background Removal

Adobe's mobile camera application Project Indigo received a significant AI feature update on July 20, as reported by TechCrunch. The new capability uses artificial intelligence to analyze photos and provide constructive feedback, functioning like an automated photography mentor rather than a filter or auto-enhance tool.

The AI critique evaluates photos across multiple dimensions including composition, exposure, color balance, and focus accuracy, then delivers specific improvement suggestions. Unlike traditional editing features that modify the image directly, this feature is designed to educate users on how to take better photographs.

Alongside the critique function, Project Indigo has also expanded its AI background removal capabilities. The updated version can handle a much wider range of background types, including complex edges, transparent objects, and fine hair details — scenarios that have traditionally challenged automated segmentation algorithms.

Project Indigo sits strategically between Adobe's professional-grade Lightroom and basic camera apps in the mobile photography ecosystem. By introducing AI critique, Adobe aims to shift users from passive post-processing toward active learning of photography techniques, creating a stickier engagement loop.

The update is part of Adobe's broader strategy to weave generative and analytical AI capabilities across its product portfolio, from Photoshop's generative fill to Premiere's AI-powered editing and now Project Indigo's photography education layer.

Industry observers are watching whether AI-driven photo critique can meaningfully improve everyday users' photography skills and whether Adobe will integrate this capability into professional tools like Lightroom and Photoshop, potentially creating a full AI-assisted workflow spanning capture, editing, and learning.