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Google Adds AI Shoe Try-On To Enhance Online Shopping Experience

Author Admin Estimated read time 2 min read



Google is enhancing its AI-powered shopping experience by introducing virtual shoe try-ons. Earlier experiments via Google Labs gave users a preview of AI tools that simplify online retail, and by July, virtual try-ons for clothing and accessories were broadly available. Now, Google has extended the feature to footwear, allowing shoppers to visualize and try on shoes from the comfort of their own homes, further blending AI with convenient online shopping.

Google announced on its official The Keyword blog that shoppers can now use its AI-powered “try-on” feature to preview how shoes would look on them before purchase. Users upload a full-length photo, and Google’s system generates a realistic image of how the selected shoes might appear when worn.

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How It Works

The tool functions similarly to Google’s existing apparel try-on feature. Shoppers tap a shoe listing in Google Search, select Try It On, and upload their photo. Within moments, a digital representation of the user wearing the shoes is displayed, which can be saved or shared for feedback.

This update builds on Google’s earlier AI-driven clothing try-ons, which previously displayed garments on diverse model body types. The new feature allows users to visualise both apparel and footwear on a digital version of their own body, making online shopping more personalised and immersive.

Google’s experimental app Doppl, launched in June, uses the same generative AI to show how outfits move and appear, now expanded to include shoes. Additionally, Google is extending its virtual try-on tools to Australia, Canada, and Japan, offering a broader international audience access to this AI-powered shopping experience.

As per the Google blogpost, “Today, we’re expanding access to our apparel try-on tool, launching it in Canada. The feature makes the online shopping experience more personal, allowing you to virtually try apparel on yourself, just by uploading a photo. It’s powered by a custom image generation model for fashion, which understands the human body and nuances of clothing — like how different materials fold, stretch and drape on different bodies.”

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