Google has introduced a major upgrade to its AI-powered virtual try-on feature, allowing users to try on clothes using only a selfie. The update removes the need for full-body photos and makes virtual fashion previews faster and more accessible.
The new capability uses Gemini 2.5 Flash Image, internally known as Nano Banana, to generate a realistic full-body digital representation from a single selfie.
How the Selfie-Based Try-On Works
Users can upload a selfie, select their usual clothing size, and allow the AI system to generate multiple full-body images. One of these images can then be saved as the default try-on profile for future use.
For users who prefer other options, Google continues to support full-body photo uploads as well as a selection of diverse model body types, ensuring flexibility and inclusivity.
Rolling Out in the United States
The updated AI try-on feature is launching today in the United States. It is expected to gradually expand as Google continues refining its virtual shopping tools.
Google’s Broader Push Into AI-Powered Fashion
The selfie-based try-on update reflects Google’s broader investment in AI-driven shopping experiences. The company also operates a dedicated virtual try-on app called Doppl, designed to help users visualize outfits using artificial intelligence.
Recently, Doppl received an update introducing a shoppable discovery feed, where users can browse AI-curated outfit suggestions and instantly try them on. Most items in the feed include direct purchase links to merchants, creating a seamless path from discovery to checkout.
AI-Generated Fashion Discovery
The discovery feed showcases AI-generated videos of real products and recommends outfits based on individual style preferences. While AI-generated content may not appeal to everyone, the format mirrors popular short-form video experiences found on platforms like Instagram and TikTok.
Making Online Shopping More Interactive
By combining selfie-based try-ons, AI-powered outfit visualization, and shoppable discovery feeds, Google is aiming to make online clothing shopping more interactive, personalized, and confident—helping users better understand how products may look before making a purchase.
