Google announced on Thursday the launch of a new AI feature that enables users to virtually try on clothes, enhancing the online shopping experience. This new feature comes alongside updated price alerts and a forthcoming tool that allows users to explore shoppable outfits and room inspirations using generative imagery.
The official launch of the virtual try-on feature follows a two-month testing period, where users were able to interact with the technology. The feature permits users to upload a full-length photo of themselves to visualize how different clothing items might look on their own bodies.
Available starting today in the United States, the virtual try-on technology integrates into Google’s Shopping Graph across Search, Google Shopping, and product results displayed on Google Images. To utilize the feature, users simply need to click on a product listing or apparel result and select the “try it on” icon. After uploading their full-length photo, they can see a representation of how they would appear wearing the selected clothing. Users can also save their looks and share them with friends for feedback.
While Google previously offered virtual try-on technologies that highlighted how items fit diverse models, this advance allows shoppers to see clothing on a virtual version of themselves, thus providing a more personalized shopping experience.
This initiative is part of Google’s ongoing investments in the virtual try-on sector. Last month, the company launched an experimental application named Doppl, which uses AI to help users visualize different outfits. A Google spokesperson noted that while both Doppl and the new try-on feature utilize the same generative AI technology, the app is designed to enable users to delve deeper into virtual try-ons for curating their personal style. Doppl also features capabilities to generate AI videos, giving users a clearer sense of how an outfit might look in real-life scenarios.
In addition to the new virtual try-on feature, Google has implemented enhanced price alert functionality. Shoppers in the United States can now set alerts based on their desired prices, sizes, and colors for specific products. As Danielle Buckley, Google’s director of Consumer Shopping, explained, “The Shopping Graph has products and prices from all across the web—so we’ll let you know when there’s an offer that meets your criteria.” This innovation aims to alleviate the need for constant checking of prices for desired items.
Google also teased an upcoming feature set to launch this fall, enabling users to receive styling inspiration for specific requests, such as outfits for particular occasions or ideas for room decor. This feature will leverage the company’s vision match technology to generate a variety of visual options based on user queries, utilizing the extensive product listings from the Shopping Graph.