At I/O 2025 in May, Google previewed a new AI-powered feature the company said would simplify online shopping. The tool allows you to upload a single, full-body photo of yourself to "try on" different pieces of clothing you find online. Following a limited preview, Google has begun rolling out the feature to users in the US. You can start trying on clothing for yourself by tapping the "try on" icon on any product listing on Google or apparel product result you find on Google Images.
Powering the experience is an image generation model Google trained to take into account how different materials fold, stretch and drape across different human bodies. According to Google, the model supports billions of clothing items found across the company's Shopping Graph, meaning their may be some outfits the AI will have a hard time parsing. However, most clothing items from popular retailers should be supported out of the gate.
With today's release, Google has also enhanced the price-tracking functionality built into the feature. Naturally, you can specify the color and size you want, but Google also allows you to set the price you want to pay for the item. It's possible to configure the watch so you're only alerted after the product you want dips below a specific price. "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," says Google. "No more constantly checking to see if that bag you’re eyeing is finally at the right price for you or forgetting to come back to a product you loved."
Later this year, Google plans to bring additional shopping features to AI Mode, the dedicated AI tab the company began rolling out to everyone in the US this past May. Come this fall, you'll be able to explore outfit and decor ideas — and buy what suits your fancy — directly from the chat bot.
This article originally appeared on Engadget at https://www.engadget.com/ai/googles-tool-for-virtually-trying-on-clothes-is-now-available-in-the-us-144342056.html?src=rss
