Google Unveils AI Tool for Virtual Clothes Try-On

Google has launched a new AI-powered feature that lets users virtually try on clothes using their own photos. Available in the U.S. starting today, the feature allows shoppers to upload a full-length image of themselves and see how clothing items from Google’s Shopping Graph would look on their bodies across Google Search, Google Shopping, and Google Images. Users can save and share their virtual looks with friends, offering a personalized and interactive shopping experience. The launch follows two months of testing and marks a shift from Google’s previous virtual try-on tools, which only displayed clothing on a variety of model body types. Now, shoppers can see clothing directly on their own virtual likeness. The feature leverages generative AI technology similar to that used in Doppl, an experimental app Google introduced last month to help users explore outfit options and even generate AI-powered videos showing how clothing moves in real life. In addition to the try-on tool, Google has updated its price alert feature. U.S. shoppers can now set detailed alerts for specific items, including preferred size, color, and the price they are willing to pay. Google’s Shopping Graph, which aggregates product listings and prices from across the web, will notify users when an item matches their set criteria, eliminating the need to constantly check for discounts. Looking ahead, Google teased a new feature arriving this fall that will use generative imagery to inspire users with shoppable outfits and room design ideas. For example, a query for a green flowy dress for a garden party will produce style suggestions alongside links to buy similar items, while interior design searches will generate themed product recommendations. These advancements highlight Google’s growing investment in AI-driven shopping tools, aiming to make online shopping more personalized and efficient for consumers