Google Unveils AI-Powered Virtual Clothing Try-On Feature
On Thursday, Google introduced an innovative AI feature that allows users to virtually try on clothing. In addition, the tech giant is rolling out enhanced price alerts and hinting at a future feature that will let users explore shoppable outfits and interior design ideas through generative images.
The virtual try-on capability officially launches after being tested internally at Google for the past two months. Users can upload their own images to see how various clothing items would look on them.
Currently available in the United States, this feature lets users experiment with apparel from Google’s Shopping Graph across multiple platforms, including Search, Google Shopping, and product results on Google Images.
To use the feature, users simply click on a product listing or apparel result and select the “try it on” icon. They will then be prompted to upload a full-length photo of themselves, allowing them to visualize how the clothing fits. Users can also save their styles and share them with friends.

While Google has previously offered virtual try-on technology that displayed items on various models, this new feature enables users to see clothing on a digital version of themselves.
This launch is part of Google’s ongoing investments in the virtual try-on space. Last month, the company debuted an experimental app called Doppl, utilizing AI to help users visualize different outfits on themselves.
A Google spokesperson mentioned that both the new try-on feature and Doppl use the same generative AI technology, but Doppl offers a more immersive shopping experience, allowing users to refine their personal style. Doppl can also generate AI-created videos, giving users a better visualization of how outfits will appear in real life.
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With the newly introduced price alerts, users can specify their desired price points for items. Starting now, shoppers in the U.S. can set alerts for products while indicating their preferred size, color, and price target.

“The Shopping Graph aggregates products and prices from across the web, so we’ll notify you when there’s a deal that matches your preferences,” stated Danielle Buckley, Google’s director of Consumer Shopping, in a blog post. “No more constant checking to see if that desired bag has reached the right price or forgetting about a product you liked.”
As for the anticipated feature that will provide outfit and room design ideas, Google has stated that users can look forward to it this fall. This feature will assist users in finding style inspiration for events like garden parties or design concepts for bedroom aesthetics.
The tech giant emphasizes that its vision match technology will create a variety of visual options based on user queries, utilizing the 50 billion products available in the Shopping Graph to display relevant product listings.


