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Google Doppl App Uses AI to Let You Try On Clothes Without Changing

The Article Tells the Story of:

  • New Google Doppl, an AI app that lets you try on outfits using your own photo.
  • You can upload any outfit image—like a thrift find or a social media screenshot—and see it on your virtual self.
  • Doppl turns static images into videos to show how clothes move on your body.
  • The app is U.S.-only and experimental, but it could change how we shop and style.

At Squredtech.co, we’re tracking Google’s latest move into fashion-tech: the launch of Doppl, a new AI-powered app that lets users see how different outfits would look on their own body. The app is now available in the U.S. for both iOS and Android users.

Doppl brings a personal virtual try-on experience to your phone by creating a digital version of your body using a full-body photo. With that image, you can test out outfits by uploading photos or screenshots of clothing from anywhere — whether it’s a look you saw on Instagram, something from a thrift store, or even a friend’s outfit.

How the Google Doppl App Works

Google Doppl starts with a simple upload. You take a full-body photo of yourself and upload it to the app. This photo becomes your virtual model.

Next, you upload an image of any outfit you want to try. Doppl overlays that outfit onto your virtual body and generates an image showing how you might look wearing it. Doppl can also turn that image into a short AI-generated video so you can see how the outfit moves as you do.

You can save multiple looks, create a virtual outfit archive, and share your favorite styles with others. This makes Doppl more than a one-time feature — it’s an ongoing tool for people who like to explore different fashion choices.

Google says Doppl builds on its virtual try-on features previously available in Google Shopping. However, this is the first time the company is offering the feature in a stand-alone app with direct interaction using your own body.

What Makes Google Doppl Different

Previous virtual try-on tools from Google only showed clothing on preset models of different body types. Doppl is different because it shows outfits on your own photo, giving a much more personalized result. According to Google, this gives users better control over their fashion choices and style planning.

Doppl also adds something new: movement. Static images can feel flat, but by turning virtual try-ons into short videos, Doppl gives users a better idea of how clothing looks in motion — how it falls, shifts, or fits from different angles.

This interactivity could change how users shop and plan their wardrobe. Instead of trying on multiple outfits in-store or ordering and returning items online, users can now test looks digitally.

Experimental Status and Limitations

Google confirmed Doppl is an experimental app released under Google Labs. That means it’s still in development, and it might not always give accurate results. In some cases, clothing fit and texture might not match how things look in real life.

Still, at Squredtech.co, we see this experiment as an important step in AI-driven personalization. It’s also a signal that Google is looking for new ways to gather user feedback, test AI visuals, and apply virtual fashion tools at scale.

The app is currently only available in the United States, and Google hasn’t confirmed any plans for international release. Given the early feedback and experimental nature, Doppl may remain U.S.-only for the near future.

Why Doppl Matters to Fashion and Tech

Google Doppl shows how AI can make fashion more interactive and personal. By letting users try on outfits using their own photos, Google shifts the focus from generic models to individual bodies.

This also opens up possibilities for smaller brands and online retailers. If integrated with retail platforms, Doppl could give customers better pre-buy visuals, reducing returns and improving shopping satisfaction.

While other tech companies have explored virtual fashion, Google’s Doppl is one of the first apps to make the try-on experience entirely user-driven with AI-generated motion. That could lead to wider applications, including avatar creation, VR fashion previews, and AI-assisted wardrobe planning.

Final Thoughts from Squredtech.co

At Squredtech.co, we’re watching Doppl closely. While the app is still in testing, the idea of AI-powered virtual fitting is here to stay. If Doppl proves successful, it could change how people choose clothes, how brands display products, and how users shop online.

We recommend early adopters give it a try — especially if you enjoy mixing tech and fashion. Just keep in mind that results may vary, and Doppl is still improving.

If Google continues building Doppl’s features, this could become one of the most personal uses of AI in mobile apps to date.

Stay Updated: MobileArtificial Intelligence

Wasiq Tariq
Wasiq Tariq
Wasiq Tariq, a passionate tech enthusiast and avid gamer, immerses himself in the world of technology. With a vast collection of gadgets at his disposal, he explores the latest innovations and shares his insights with the world, driven by a mission to democratize knowledge and empower others in their technological endeavors.
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