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Try On Clothes Virtually With Google’s New AI Feature

▼ Summary

– Google launched a new AI feature allowing users to virtually try on clothes by uploading a photo of themselves, available now in the U.S.
– The virtual try-on feature works across Google’s Shopping Graph, including Search, Google Shopping, and product results on Google Images.
– Google also introduced updated price alerts, letting users set preferred prices, sizes, and colors for products in the U.S.
– An upcoming feature will use generative imagery to provide shoppable outfit and room design inspiration, launching this fall.
– Google’s new try-on feature differs from past versions by letting users see clothes on their own virtual bodies, not just models.

Google’s latest AI innovation lets shoppers visualize clothing on their own bodies before buying, revolutionizing the online shopping experience. The newly launched virtual try-on feature represents a significant upgrade from previous versions that only displayed garments on professional models. Now available across Google’s shopping platforms in the U.S., this technology allows consumers to upload personal photos and see realistic simulations of how apparel would fit their unique body shape.

The process couldn’t be simpler. When browsing clothing items in Search, Google Shopping, or product image results, users just need to tap the “try it on” option and upload a full-body photo. The system then generates a customized preview showing how the selected garment would appear on their figure. Shoppers can save their favorite looks and share them with friends for second opinions, a feature that bridges the gap between solo online shopping and traditional in-store experiences with fitting rooms.

This development builds on Google’s existing investments in virtual try-on technology, including their experimental Doppl app that takes personalization even further. While both tools use similar generative AI foundations, Doppl offers additional capabilities like creating short videos that show how outfits move with the wearer. These innovations address one of online retail’s biggest challenges, helping customers feel confident about fit and style before making purchases.

Beyond virtual fitting rooms, Google is enhancing its shopping ecosystem with smarter price tracking. Shoppers can now set personalized price alerts that monitor the web for specific products in preferred colors and sizes, notifying them when items hit their target price point. This eliminates the need for constant manual price checking and helps consumers snag deals on coveted items.

Looking ahead, Google plans to introduce outfit and interior design inspiration tools this fall. These features will leverage the company’s vast product database and vision matching technology to suggest complete looks for various occasions or room decor ideas. Whether someone needs styling advice for a garden party dress or bedroom redesign concepts, the system will generate visual options paired with purchasable product matches.

As e-commerce continues evolving, these AI-powered tools demonstrate how technology can replicate, and sometimes enhance, the benefits of physical shopping experiences. By combining realistic visualization with intelligent price monitoring and styling assistance, Google is creating a more intuitive and satisfying digital shopping journey.

(Source: TechCrunch)

Topics

googles virtual try- feature 95% ai online shopping 90% google shopping graph 85% personalized shopping experience 85% price alerts shopping 80% e-commerce innovations 80% generative imagery shopping inspiration 75% doppl app 70%