Key takeaways
- Adobe’s Lightroom Assisted Culling feature achieved general availability on June 15, 2026, introducing cloud-assisted AI that evaluates each person in a photo independently to determine if eyes are open and sharp.
- Adobe’s expanded AI toolkit directly addresses competitive threats from generative AI startups and smartphone manufacturers that have integrated similar features into their platforms.
- Adobe’s roadmap includes reflection removal as a future Project Indigo feature, signaling continued investment in computational photography capabilities beyond current noise reduction and dynamic range enhancement.
Adobe has launched a suite of computational photography and AI-powered tools that automatically evaluate and improve photos at the point of capture and during post-production, marking a significant shift toward AI-assisted creative workflows. The rollout includes Project Indigo, a new computational photography camera app for iPhone, alongside Lightroom’s Assisted Culling feature, which uses machine learning to judge technical photo quality and suggest the strongest images from a batch. These developments, unveiled between October 2025 and June 2026, position Adobe to compete directly with smartphone manufacturers and generative AI Startups in real-time photo evaluation.
Lightroom’s Assisted Culling Reaches General Availability
Adobe’s Lightroom Assisted Culling feature achieved general availability on June 15, 2026, introducing cloud-assisted AI that evaluates each person in a photo independently to determine if eyes are open and sharp. The tool automatically stacks similar images and suggests the “strongest one” based on technical criteria, streamlining the culling process for photographers managing hundreds of shots from a single session. This represents the closest existing Adobe feature to a “photo critic,” as it uses artificial intelligence to judge technical quality rather than aesthetic preference.
First demonstrated at Adobe MAX in October 2025, Assisted Culling operates through a Face View Interface that prioritizes eye contact and sharpness—two critical technical markers of successful portraiture. The feature is cloud-assisted rather than on-device, meaning it processes image data through Adobe’s servers to deliver evaluations. For photographers shooting events, portraits, or any scenario involving multiple similar frames, the tool addresses a fundamental workflow bottleneck: selecting the best take from dozens of near-identical options.
Project Indigo Brings Computational Photography to iPhone
Launched by Adobe Labs, Project Indigo is a free computational photography camera app for iPhone Pro and Max models (versions 13 through 16 and later) that captures a series of images and merges them to reduce noise and enhance dynamic range while maintaining a natural, SLR-like aesthetic. The app was created in part by Marc Levoy, the former Google Pixel computational photography lead, and requires no Adobe account login, positioning it as an agile prototyping platform for testing future flagship features. Project Indigo represents Adobe’s entry into the computational photography space traditionally dominated by smartphone manufacturers like Apple and Google.
The app employs multi-frame super-resolution technology that captures slightly different perspectives through natural hand movement when users pinch to zoom, combining frames into a single larger, sharper image. This approach mimics pixel-shift modes found on dedicated cameras, restoring image quality that would otherwise be lost through digital scaling alone. By handling the computational heavy lifting at capture time, Project Indigo aims to deliver professional-grade images directly from an iPhone without requiring desktop post-processing.
On-Device AI and Expanded Generative Capabilities
Adobe’s June 2026 Creative Cloud update introduced a new Photoshop Remove Tool that runs generative models on-device and offline, allowing users to erase objects without consuming generative credits or requiring an internet connection. This marks a significant departure from Adobe’s previous cloud-dependent AI architecture and enables creative professionals to work in environments without connectivity, such as studios, aircraft, or remote locations. The on-device capability complements Project Indigo’s goal of delivering high-quality results immediately at the point of capture.
The same update integrates Topaz Labs’ Noise-Aware Sharpen model directly into Lightroom’s AI Sharpen tool and incorporates Google Veo alongside Adobe Firefly for a new Lightroom Photo to Video feature that consumes generative credits. This partnership strategy reveals Adobe’s approach to AI development: collaborating with specialized AI firms rather than building all models internally. Photoshop’s AI Assistant, available in beta on web and mobile, allows users to remove objects, change colors, and adjust lighting through natural language prompts, with paid subscribers receiving unlimited generations through April 9, 2026, while free users get 20.
Market Positioning and Competitive Implications
Adobe’s expanded AI toolkit directly addresses competitive threats from generative AI startups and smartphone manufacturers that have integrated similar features into their platforms. By embedding AI evaluation and editing capabilities across Lightroom, Photoshop, and Project Indigo, Adobe is constructing a unified “AI-first” production pipeline that keeps users within the Creative Cloud ecosystem from capture through final output. Analysts view this strategy as essential for Adobe’s defense against point-solution competitors offering specialized AI tools at lower price points.
The integration of third-party AI models from Topaz Labs and Google demonstrates Adobe’s willingness to license best-in-class technology rather than compete on every front. This pragmatic approach reduces development time and allows Adobe to deliver cutting-edge features faster than building everything in-house. For creative professionals, the expanded AI suite reduces friction in workflows that previously required switching between Adobe apps and external tools.
Evolution from Photoshop Camera to Computational Photography
Adobe’s current AI photo initiatives represent an evolution from the Photoshop Camera app announced at Adobe MAX 2019, which leveraged Adobe Sensei to recognize faces, landscapes, and food in the viewfinder and suggest filters at the point of capture. That earlier app focused on real-time filter suggestions powered by AI scene recognition but did not include quality-evaluation or critique features. Project Indigo and Lightroom’s Assisted Culling mark Adobe’s shift from filter application to image quality assessment and computational enhancement.
The progression reflects broader industry trends toward AI-assisted rather than fully automated creative decisions. Where Photoshop Camera suggested filters, Project Indigo merges frames for superior technical quality, and Lightroom’s Assisted Culling evaluates sharpness and eye contact—all tasks that preserve creative control while automating technical judgment.
What Photographers Should Monitor Next
Adobe’s roadmap includes reflection removal as a future Project Indigo feature, signaling continued investment in computational photography capabilities beyond current noise reduction and dynamic range enhancement. The company’s expansion of Firefly with Generative Fill, Generative Remove, Generative Expand, and Generative Upscale across Creative Cloud apps suggests that AI evaluation tools will proliferate throughout the suite in subsequent updates. Photographers should watch for announcements regarding on-device processing expansion and potential offline functionality for Lightroom’s Assisted Culling.
Adobe’s June 2026 update establishes the company as a serious contender in AI-assisted photography, moving beyond filter suggestions to genuine technical evaluation and enhancement. As Project Indigo matures and Lightroom’s Assisted Culling gains broader adoption, these tools will likely reshape how photographers approach capture and post-production workflows, positioning AI evaluation as a standard rather than a premium feature.
