Google Introduces New AI Try-On Feature for Virtual Clothes Shopping
Google has announced a major update to its AI try-on feature that allows users to virtually try on clothes using just a selfie. This new feature eliminates the need for users to upload a full-body picture of themselves, making the virtual try-on experience more seamless and user-friendly. The company’s Nano Banana, powered by Gemini 2.5 Flash Image model, can now generate a full-body digital version of the user for virtual try-ons using just a selfie.
Users can simply select their usual clothing size, and the feature will generate several images for them to choose from. They can then select their preferred image as their default try-on photo. Additionally, users still have the option to use a full-body photo or select from a range of models with diverse body types if desired.
The new AI try-on feature is launching in the United States today, providing users with a more convenient and personalized virtual shopping experience.
Google initially introduced the try-on feature in July, allowing users to try on apparel items from its Shopping Graph across Search, Google Shopping, and Google Images. To use the feature, users simply need to tap on a product listing or apparel product result and select the “try it on” icon.
This update reflects Google’s continued investment in the virtual AI try-on space, as the company also has a dedicated app called Doppl for visualizing different outfits using AI technology. Doppl now includes a shoppable discovery feed that offers recommendations for users to discover and virtually try on new items, with direct links to merchants for easy shopping.
The discovery feed showcases AI-generated videos of real products and suggests outfits based on each user’s personalized style. While some may have reservations about AI-generated content, Google sees this as a way to enhance the shopping experience and provide users with a familiar format similar to popular social media platforms like TikTok and Instagram.
