Google has officially launched its AI-powered virtual try-on feature for users in the United States. First unveiled at the Google I/O conference in May, this feature is part of the tech giant’s “Shopping Graph” initiative, based in Mountain View. It is now available in Google’s AI Search experience, Google Shopping, and product listings within Google Images. With just a few steps, users can virtually try on a wide range of clothing items. The company has also updated its price tracking feature.
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Google Enables Virtual Clothing Try-On for Users
In a blog post, Google announced the rollout of its virtual try-on feature in the U.S., allowing users to try on billions of clothing items listed in the Shopping Graph. The feature is integrated into AI-powered search, Google Shopping, and product results within Google Images.
Users with access to the feature can go to Google Shopping and click on any product. In AI Search and Google Images, they’ll need to search for a particular style or outfit and select one from the results. If the feature is available, a "Try it on" icon will appear. Clicking it will prompt the user to upload a full-body photo of themselves. Once uploaded, Google’s AI will render how the item would look on their body.
The virtual try-on feature also allows users to browse previous outfits they’ve tried, save favorites, and share looks with friends. It is powered by a custom fashion-focused generative image model that understands the human body and how fabric folds, stretches, and flows across various body types.
Updated Price Alerts and Product Discovery
In addition, Google is enhancing its price alert system with a new version of its price tracking feature, also available in the U.S. The updated version allows users to set alerts based on a specific size and color of a product, as well as a desired price. This means the tracker won’t notify users unless the item becomes available in the exact variant they’re looking for.
Google is also developing a product discovery feature that will allow users to enter AI Search mode and request outfit inspiration or a look tailored for a specific occasion. The chatbot will then scan relevant products across the Shopping Graph and, using its visual matching technology, surface curated product listings the user may like. This feature is expected to become available in the U.S. later this year.
