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Google’s AI Try-On Gets a Selfie Upgrade

Google AI Virtual Try-On Google AI Shopping Meta SpaceX AI Synthetic Research TechCrunch Digital Fashion
December 11, 2025
Source: TechCrunch AI

This summary and analysis were generated by AI from the original article at TechCrunch AI and may contain errors (how Viqus works). Read the source for full details.

Viqus Verdict Logo Viqus Verdict Logo 8
Digital Dressing Room
Media Hype 7/10
Real Impact 8/10

Article Summary

Google has announced a major update to its AI try-on feature, shifting from requiring full-body photos to leveraging just a selfie. This update utilizes Google’s Gemini 2.5 Flash Image model to generate a realistic full-body digital representation of the user, simplifying the virtual try-on experience. Users select their usual clothing size, and the AI then produces several images for them to choose from. The existing functionality of using a full-body photo or selecting from a range of diverse models remains available. This enhancement builds upon the company’s existing investment in the virtual AI try-on space through its Doppl app, which now includes a shoppable discovery feed featuring AI-generated videos and personalized outfit recommendations. Google’s move reflects a broader trend of leveraging generative AI to enhance e-commerce and retail experiences, potentially impacting how consumers interact with clothing brands and retailers.

Key Points

  • Google is now allowing users to virtually try on clothes using only a selfie.
  • The new feature uses Google’s Gemini 2.5 Flash Image model to generate a full-body digital representation of the user.
  • The update includes a shoppable discovery feed within the Doppl app, showcasing AI-generated videos and personalized outfit recommendations.

Why It Matters

This update is significant because it democratizes access to the AI try-on technology. Previously, the requirement for full-body photos created a barrier for many users. By enabling try-ons with just a selfie, Google is making the experience more convenient and appealing, potentially driving increased engagement and sales within its Shopping ecosystem. For professionals in e-commerce, retail tech, and AI development, this highlights the growing importance of generative AI in transforming consumer experiences.

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