Google this week introduced a new artificial intelligence (AI) feature that allows users to virtually try on clothes by uploading a photo of themselves. The tech giant is also rolling out updates to price alerts and teased an upcoming feature that will provide inspiration for shoppable outfits and room design using generative imagery.
The virtual try-on feature has officially launched in the United States. Users can select apparel items from Google Search, Google Shopping, and Google Images product results, tap the “try it on” icon, and upload a full-body photo of themselves to see how the clothing would look on them. They can save these looks and share them with friends.
Previously, Google’s virtual try-on technology showed clothes on diverse models, but this new feature lets users try garments on a virtual version of their own body.
Google is heavily investing in this space. Last month, the company launched an experimental app called Doppl, which uses AI to display how outfits might look on users in video format and helps them curate their personal style.
Danielle Buckley, Google’s Director of Consumer Shopping, explained that the Shopping Graph system aggregates billions of products and prices from across the web. Users can now set alerts specifying their preferred price, size, and color, ensuring they never miss a deal or price drop on their favorite items.
Lastly, a new feature launching this fall will offer users ideas for outfit combinations and room designs. For example, it could suggest a flowing green dress for a garden party or design inspirations for a bedroom, providing a variety of visual options.
Google’s vision match technology will analyze the 50 billion products in the Shopping Graph to recommend the most relevant product listings based on the user’s query.
