Google AI virtual try-on feature now lets you try on clothes using just a selfie

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Google updated its AI try-on feature to work with selfies instead of full-body photos, using its Gemini 2.5 Flash Image model called Nano Banana. The company also enhanced its Doppl app with a shoppable discovery feed featuring AI-generated videos. These moves signal Google's push to compete in e-commerce as it loses ground to Amazon and social platforms.

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Google AI Transforms Virtual Try-On With Selfie Technology

Google has updated its AI try-on feature to let users try on clothes with a selfie, eliminating the need for full-body photographs. The enhancement, announced last week and now available in the United States, uses Nano Banana, the Gemini 2.5 Flash Image model, to generate a full-body digital representation from just a headshot

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. Users select their usual clothing size, from XS to 4XL+, and the system generates several studio-like images

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. From there, shoppers can choose one image to serve as their default try-on photo for subsequent clothing trials. The AI-powered virtual try-on tool still offers the option to upload full-body photos or select from a range of models with diverse body types

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Doppl App Adds Shoppable Discovery Feed

Google's experimental AI try-on app Doppl received a significant update earlier this month with the introduction of a shoppable discovery feed

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. The feed displays personalized recommendations, allowing users to discover and virtually try on new items. Nearly everything in the feed is shoppable, with direct links to merchants

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. The discovery feed features AI-generated videos of real products and suggests personalized outfits based on user preferences and interaction patterns. Google determines style preferences by analyzing what users share with Doppl and the items they engage with

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. Available on iOS and Android for users 18 and above in the United States, Doppl allows shoppers to upload images of clothing they want to try on, though exceptions include bathing suits, lingerie, shoes, and accessories

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Strategic Push Into E-Commerce Competition

The updates reflect Google's strategic effort to strengthen its position in e-commerce as it continues to lose ground to Amazon and social media platforms like TikTok and Instagram

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. Short-form visual feeds on these platforms have conditioned users to scroll and buy what they see, prompting Google to adopt a similar approach with AI-generated content

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. Google first launched the virtual try-on feature in July for users, allowing them to try on apparel items from its Shopping Graph across Search, Google Shopping, and Google Images

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. A similar feature for models has been available since 2023

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What This Means For Online Shopping Experience

The technology addresses a persistent friction point in online shopping: the inability to visualize how clothes will look on your actual body before purchasing. By converting a simple selfie into an avatar that can model different outfits, Google lowers the barrier to entry for users who may not have suitable full-body photos readily available

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. This matters because it could reduce return rates for merchants while increasing consumer confidence in online apparel purchases. The integration of Flash Image technology with Google's existing Shopping infrastructure creates a seamless path from discovery to purchase. Watch for how conversion rates and return rates shift as more retailers adopt this technology, and whether Google can leverage its AI capabilities to reclaim e-commerce market share from competitors who have established dominance in visual shopping experiences.

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