Google’s Doppl App: See How Outfits Look on You Instantly
▼ Summary
– Google launched Doppl, an experimental AI app for virtually trying on outfits using a digital version of yourself, available on iOS and Android in the U.S.
– Users upload a full-body photo and can visualize outfits from photos, screenshots, or social media, with AI generating images or videos of them wearing the clothes.
– The app allows saving favorite looks, browsing past try-ons, and sharing results with others.
– Doppl expands on Google Shopping’s virtual try-on features, offering a standalone app for easier access and style exploration while potentially collecting user data for future improvements.
– Google acknowledges Doppl is experimental and may have inaccuracies in fit or appearance, with no confirmed plans for expansion to other regions.
Google’s new Doppl app lets users instantly visualize how clothing items would look on their own body using AI-powered virtual try-on technology. Currently available for iOS and Android devices in the U.S., this experimental tool transforms personal style exploration by allowing people to test outfits before making purchases or trying new looks.
The process begins by uploading a full-body photo to create a digital avatar. Users can then snap pictures of clothing they encounter in stores, borrow from friends, or spot online – even screenshots from social media work. Doppl’s advanced algorithms generate realistic images showing how each garment would appear when worn, going beyond static previews by producing short AI-generated videos that demonstrate movement and fit.
Beyond simple visualization, the app includes organizational features for saving preferred outfits and reviewing past virtual try-ons. Sharing capabilities let users solicit opinions from friends before committing to new wardrobe additions. This standalone application expands upon Google Shopping’s existing virtual fitting room technology, but with a crucial difference – instead of viewing clothes on professional models, people see garments adapted to their unique body shape and proportions.
Google positions Doppl as both a practical shopping tool and creative style platform, acknowledging its experimental nature through disclaimers about occasional inaccuracies in fit representation. The development reflects growing consumer demand for augmented reality solutions in fashion retail, where buyers increasingly expect to preview purchases digitally. While currently limited to the U.S. market, the technology demonstrates Google’s continued investment in AI applications for everyday consumer needs.
Industry observers note such innovations could significantly reduce return rates for online apparel purchases while providing valuable data about consumer preferences. The app’s success may hinge on its ability to accurately simulate diverse fabrics, cuts, and body types – challenges that have historically plagued virtual fitting technologies. As with many experimental launches, Google hasn’t confirmed international expansion plans or potential integration with its broader e-commerce ecosystem.
(Source: TechCrunch)
