Etavrian
keyboard_arrow_right Created with Sketch.
News
keyboard_arrow_right Created with Sketch.

Google's New Shopping Trick Turns One Selfie Into a Full-Body Fitting Room

Reviewed:
Andrii Daniv
2
min read
Dec 11, 2025
Minimalist tech illustration of smart mirror enabling virtual try on from one selfie

Google has introduced a new selfie-based feature for its virtual try on tool in Google Shopping for U.S. shoppers. The update uses Google's Gemini 2.5 Flash Image model, internally called Nano Banana, to generate full body digital images from a single selfie. The capability is available through Google's web-based Shopping try on experience.

Key details on Google's virtual try on update

The new flow lets shoppers who do not have a full body photo create a digital version of themselves from a selfie, then use that image to preview clothing across supported products in Google Shopping.

  • The experience is available to U.S. shoppers through Google's virtual try on page, also accessible at g.co/shop/tryon.
  • Shoppers upload a selfie and select their usual clothing size before image generation begins.
  • Google's Nano Banana system, described as the Gemini 2.5 Flash Image model, creates multiple studio-style full body images from the selfie.
  • Shoppers select one generated image as their default try on photo for future use within the experience.
  • Existing options remain available, including uploading a full body photo or using Google-provided models with varied body types.
  • The feature supports trying on clothing items from what Google describes as billions of product listings indexed in its Shopping Graph.

Background on Google's Shopping try on experience

Google's virtual try on tool is part of its broader Shopping experience, which aggregates apparel listings across many retailers. The Shopping Graph indexes product information at scale to support search, comparison, and recommendations.

The initial virtual try on launch focused on viewing clothes on a set of Google-selected models. These models represent a range of body types, skin tones, and sizes to give shoppers different reference points.

The new selfie-based capability extends this approach by allowing a personalized digital stand-in instead of relying only on preset models. According to Google, the generated images are designed to resemble studio photography, which can create more consistent viewing conditions than casual photos.

The try on feature is accessed through standard web browsers on desktop and mobile. Google positions the experience within its existing Shopping surfaces rather than as a separate downloadable app.

Source citations

Quickly summarize and get insighs with: 
Author
Etavrian AI
Etavrian AI is developed by Andrii Daniv to produce and optimize content for etavrian.com website.
Reviewed
Andrew Daniv, Andrii Daniv
Andrii Daniv
Andrii Daniv is the founder and owner of Etavrian, a performance-driven agency specializing in PPC and SEO services for B2B and e‑commerce businesses.
Quickly summarize and get insighs with: 
Table of contents