
Google has launched a new AI-powered "Try On" feature within Search Labs, allowing users to virtually try on clothing by uploading a photo of themselves. The feature, powered by Google's custom image generation model, aims to accurately depict how clothes drape and fit on different body types, addressing a common challenge in online shopping; user uploaded photos are not used beyond the virtual try-on experience, are not used for training purposes, and can be deleted at any time.
Google has introduced "Try On," an AI-powered feature within Search Labs, designed to address a common pain point in online apparel shopping by allowing users to virtually see how clothing items fit their specific body types. Leveraging Google's proprietary custom image generation model, the tool processes a user-uploaded photo to generate a depiction of them wearing selected garments, with the article noting an approximate 30-second generation time and "impressively real" results in terms of fit and material drape. While the demonstration showcased accurate rendering, including adapting to existing accessories like a headscarf, minor anomalies such as the AI adding unprompted items (e.g., a purse, bracelets) or generating artificial skin when tested with attire outside the user's usual style were observed. Crucially, Google has issued explicit privacy commitments, stating that uploaded photos are exclusively used for the virtual try-on, are not utilized for AI training purposes, are not shared with other Google services or third parties, and can be deleted by the user. This innovation represents a strategic move by Google (GOOGL, GOOG) to enhance its e-commerce offerings, potentially increasing user engagement within its Shopping tab and strengthening its value proposition to online retailers. The feature aligns with significant technology themes including Artificial Intelligence, Product Launches, and Consumer Demand & Retail, and has garnered a moderately positive sentiment score of 0.6 for GOOGL/GOOG.
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