By using this site, you agree to our Privacy Policy and Terms of Service.
Accept
Absolute GeeksAbsolute Geeks
  • LATEST
    • TECH
    • GAMING
    • AUTOMOTIVE
    • QUICK READS
  • REVIEWS
    • SMARTPHONES
    • HEADPHONES
    • ACCESSORIES
    • LAPTOPS
    • SPEAKERS
    • TABLETS
    • WEARABLES
    • APPS
    • GAMING
    • TV & MOVIES
    • ━
    • ALL REVIEWS
  • PLAY
    • TV & MOVIES REVIEWS
    • THE LATEST
  • DECRYPT
    • GUIDES
    • OPINIONS
  • +
    • TMT LABS
    • WHO WE ARE
    • GET IN TOUCH
Reading: Google Doppl app: how to try on clothes virtually with AI
Share
Absolute GeeksAbsolute Geeks
  • LATEST
    • TECH
    • GAMING
    • AUTOMOTIVE
    • QUICK READS
  • REVIEWS
    • SMARTPHONES
    • HEADPHONES
    • ACCESSORIES
    • LAPTOPS
    • SPEAKERS
    • TABLETS
    • WEARABLES
    • APPS
    • GAMING
    • TV & MOVIES
    • ━
    • ALL REVIEWS
  • PLAY
    • TV & MOVIES REVIEWS
    • THE LATEST
  • DECRYPT
    • GUIDES
    • OPINIONS
  • +
    • TMT LABS
    • WHO WE ARE
    • GET IN TOUCH
Follow US

Google Doppl app: how to try on clothes virtually with AI

GEEK STAFF
GEEK STAFF
June 30, 2025

Google has quietly rolled out Doppl, a standalone app that uses artificial intelligence to let shoppers “try on” clothing before they buy. Building on the experimental AI Mode features in Google Search, Doppl taps a dedicated image-generation model trained on fashion data to map garments onto your own photos. By uploading a full-body picture and snapshots or screenshots of items, you can see how dresses, jackets or trousers will drape, stretch and move on you—without stepping foot in a fitting room.

Behind the scenes, Google’s custom AI understands human poses and fabric behavior. Unlike simple overlay tools, it recreates subtleties like folds, light reflections and the way different materials hang. Doppl even generates short animated clips, helping you judge how a skirt sways during a walk or how a shirt fits when you raise your arms. It’s a level of realism that aims to make virtual try-on feel closer to the real-world experience of shopping in person.

Doppl is now available for iPhone and Android users in the U.S. through Google Labs, and though it’s still in its early stages, the app already supports billions of garments drawn from Google’s Shopping Graph. You can export stills or videos to share with friends for feedback, much like passing around mirror selfies during an in-store fitting. But as with any AI preview, it isn’t foolproof: Google cautions that proportions, color accuracy and fine details may not always match the actual product.

Privacy remains a key question. To power the virtual fitting room, Doppl requires uploading your photo, yet Google has not fully detailed how these images are stored or whether they might inform future ad targeting. Users weighing the convenience of at-home try-on should review Google’s privacy policy and consider how much personal data they’re comfortable sharing.

While a growing number of retail apps offer augmented-reality try-on—mostly limited to single garments or accessories—Doppl represents one of the first efforts to apply generative AI at scale, across full outfits. If you’re curious about how an online purchase will look on your frame, it’s worth giving Doppl a spin. Just remember that until you receive the garment in hand, there’s no substitute for the certainty of a real fitting.

Share
What do you think?
Happy0
Sad0
Love0
Surprise0
Cry0
Angry0
Dead0

LATEST STORIES

Spotify’s Discover Weekly gets genre filters to fine-tune your mix
TECH
From iPhone to MacBook: could the A18 Pro power Apple’s next affordable laptop?
TECH
Honor of Kings collabs with BLEACH: Thousand-Year Blood War
GAMING
Eighteen years ago, Apple rewired the world—and we’ve never looked back
TECH
Absolute GeeksAbsolute Geeks
Follow US
© 2014-2025 Absolute Geeks, a TMT Labs L.L.C-FZ media network - Privacy Policy
Level up with the Geek Newsletter
Tech, entertainment, and smart guides

Zero spam, we promise. Unsubscribe any time.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?