Google Unveils AI-Powered Virtual Clothing Fitting Feature

On Thursday, Google introduced an innovative AI feature that allows users to virtually try on clothing. The tech giant is also rolling out enhanced price alerts and hinting at a future tool that will enable users to explore stylish outfits and interior design ideas through generative imagery.

The virtual try-on feature is officially launching after two months of internal testing at Google. Users can upload their photos to see how various clothing items will look on them.

Currently, this function is available in the United States, enabling users to experiment with apparel from Google’s Shopping Graph across multiple platforms, such as Search, Google Shopping, and product results in Google Images.

To use the feature, users simply need to 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, allowing them to visualize how the clothing fits. Users can also save their outfits and share them with friends.

While Google has experience with virtual try-on technology that showcased 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 investment in the virtual try-on sector. Last month, the company unveiled an experimental app called Doppl, which uses AI to help users visualize different outfits on themselves.

A Google representative mentioned that both the new try-on feature and Doppl utilize similar generative AI technology, although Doppl offers a more immersive shopping experience and allows users to refine their personal style. Doppl can even produce AI-generated videos, enhancing the way users visualize outfits in real life.

With the newly introduced price alerts, users can set their desired price ranges for items. Starting now, shoppers in the U.S. can set alerts for products while specifying their preferred size, color, and price target.

“The Shopping Graph aggregates products and prices from across the web, so we’ll notify you when a deal matches your preferences,” said 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.”

Concerning the anticipated feature that will deliver outfit and room design suggestions, Google announced users can expect it this fall. This functionality 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 generate a variety of visual options based on user queries, using the 50 billion products available in the Shopping Graph to display relevant product listings.