Doppl

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Virtually try on outfits from any photo using AI with Doppl. Explore your style & see how looks fit you instantly.0
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What is Doppl?

Doppl is an early experimental app from Google Labs designed to help you explore your personal style like never before. It addresses the challenge of visualizing how different outfits might look on you by letting you virtually try on looks from any image source using generative AI technology.

Key Features:

  • 👤 Personalized Model Setup: Begin by uploading a full-body photo of yourself or selecting one of the pre-made AI models. This establishes your base for trying on different looks, offering a personalized visualization experience.

  • 📸 Try On Outfits from Your Camera Roll: See an outfit you love on social media, a blog, or even a friend? Simply upload an image or screenshot of the outfit from your camera roll. Doppl transforms that inspiration into a virtual try-on, showing you how it could look on your selected model. (Currently supports tops, bottoms, and dresses).

  • 🎬 See Your Looks in Motion: Bring your virtual looks to life by adding video animation. This feature allows you to see how an outfit might move, adding a dynamic dimension to your style exploration.

  • 💾 Save and Share Your Style: Once you've created looks you love, easily save them or share them directly with friends, family, or on social media. Get feedback and showcase your discoveries.

Use Cases:

  • Recreate Inspired Looks: Instantly see how that trending outfit you saw online would look on you by simply taking a screenshot and uploading it to Doppl.

  • Virtually Test Saved Styles: Have a folder of outfit ideas saved on your phone? Use Doppl to quickly try them on virtually before deciding which ones you want to pursue in the real world.

  • Experiment with Bold Fashion: Explore bold colors, patterns, or styles you might hesitate to try in person. Doppl provides a low-pressure way to visualize how different fashion choices could suit you.

Unique Advantages:

Doppl stands out by allowing you to try on outfits from any image source in your camera roll, turning personal style inspiration into a tangible visualization tool, unlike services limited to specific retail inventories. The added animation feature provides a more dynamic view of your virtual looks.

Conclusion:

 Doppl offers a unique, AI-powered way to experiment with fashion, visualize inspiration, and explore your style potential virtually. While still an early experiment, it provides powerful tools for creative style exploration. Explore how Doppl can help you discover your next favorite look.

FAQ:

  • Where is Doppl available? Currently, Doppl is available exclusively within the U.S. for users aged 18 years or older. You can download the app from the Google Play Store or the App Store and log in with your Google account to get started. We are working to expand availability to more countries in the future.

  • Why do I sometimes see mistakes in the generated images? Doppl is an experimental app utilizing generative AI, which means the output may occasionally contain imperfections or mistakes related to body shapes, personal features, or clothing details. We are continuously improving the AI models, and your feedback through the app helps us identify areas for enhancement.

  • What outfit categories are supported for try-on? As of now, Doppl supports trying on tops, bottoms, and dresses. We are actively working to add support for more categories in the future. Items like shoes, lingerie, bathing suits, accessories, costumes, and certain traditional/cultural garments are not currently supported, and sheer or policy-violating outfits will not work.


More information on Doppl

Launched
Pricing Model
Free
Starting Price
Global Rank
2265
Follow
Month Visit
19.8M
Tech used

Top 5 Countries

27.32%
9.75%
6.31%
5.62%
3.56%
United States Brazil Japan Korea, Republic of India

Traffic Sources

2.63%
0.17%
0.06%
8.98%
42.22%
45.94%
social paidReferrals mail referrals search direct
Doppl was manually vetted by our editorial team and was first featured on 2025-06-27.
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