Google Labs’ Doppl is a new AI-powered app that lets you virtually try on outfits from nearly any source. Available now on iOS and Android in the U.S., this standalone mobile tool builds on Google’s earlier virtual try-on features, but it can turn static images into animated previews of you strutting in your chosen threads.
You start by uploading a full-body photo of yourself—no hats, bright lighting, natural pose. Then, grab an image of an outfit, whether it’s a screenshot from Instagram, a thrift store snap, or a friend’s killer look. The app’s AI, trained to understand how clothes drape, stretch, and fold on different body types, overlays the outfit onto your digital doppelgänger. But it doesn’t stop there. Doppl can transform that static image into a short video, showing how the fabric moves as you walk or strike a pose. “With Doppl, you can try out any look,” Google notes in a blog post, “so if you see an outfit you like from a friend, at a local thrift shop, or featured on social media, you can upload a photo of it into Doppl and imagine how it might look on you.”
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Back in May 2025, Google Shopping introduced a feature letting users see billions of clothing items on their own image via a “try it on” button in search results. Doppl, however, breaks free from the constraints of online retail catalogs. It’s not limited to what’s available on Google Shopping; you can pull from Pinterest, a friend’s closet, or even a random photo of a celebrity’s red-carpet ensemble.
The app generates both still images and animated clips, letting you save favorites or share them with friends for a second opinion. The video feature, in particular, sets it apart, offering a glimpse of how a jacket might flow or how pants might fit during movement. Google cautions, though, that “Doppl is in its early days and… fit, appearance and clothing details may not always be accurate.”
Google assures users that Doppl handles data responsibly, with safeguards to protect information, but the app’s data collection could fuel improvements to Google’s broader shopping ecosystem. This dual purpose—fun user experience and data gathering—feels like a classic Google move, balancing innovation with strategic insight. Still, the app includes guardrails, like blocking uploads of revealing outfits or images of public figures, likely to prevent misuse.
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