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Google’s Impressive AI Outfit Try-On App Doppl Launches

Google’s Impressive AI Outfit Try-On App Doppl Launches
Google’s Impressive AI Outfit Try-On App Doppl Launches

Key Points

  • Google launches Doppl, an AI outfit try-on app
  • Upload your photo and try on clothes from any image
  • Generates images and AI videos of you wearing outfits
  • Available in the U.S. on both iOS and Android

Google has just released Doppl, a brand-new app that allows you to try on clothes virtually using artificial intelligence. Built as a Google Labs experiment, Doppl is available on both iOS and Android in the U.S., giving users a creative and personalized way to explore style from anywhere.

The AI outfit try-on app works by having users upload a full-body image of themselves. Then, using photos or screenshots of outfits — whether from a thrift store, social media, or even your own photo gallery — Doppl digitally renders the clothes onto your body.

You’re not just getting a static image. Doppl goes a step further and turns your look into a short AI-generated video so you can see how an outfit moves with your body. Want to know how a coat flares when you walk? Or how a dress sways? Doppl gives you a more lifelike preview.

All of your virtual outfits can be saved and shared. It’s like having a digital wardrobe that lets you try on anything, anytime, without stepping into a fitting room.

If this sounds futuristic, it’s part of a bigger trend across tech. From Salesforce launching AgentForce 3 to HarmonyOS 6 bringing AI agents to phones, AI is becoming the interface for personalized user experiences.

Style meets personalization with Google’s Doppl

While Google has played with virtual try-on tools before — like showing clothes on a diverse range of models via Google Shopping — Doppl is the first step toward deeply personal experiences. The key difference? It’s you wearing the clothes, not a model.

This kind of personalization is a game-changer in online shopping. For many users, it’s hard to judge how an item will look on their body just by looking at a model. Doppl fills that gap, helping users make better decisions, reducing potential returns, and boosting confidence in style choices.

Google also highlights that this app may help improve its future AI and AR features. Each interaction with Doppl teaches the model more about fit, fabric movement, and visual style preferences. So while users get a fun and helpful tool, Google gains valuable insights to advance its tech stack.

It’s also worth noting that Doppl is still experimental. Google warns that outfit fit and appearance may not always be 100% accurate, and the AI may miss fine clothing details. But that’s part of the learning process. As more users engage with it, the app is expected to improve quickly.

For now, the AI outfit try-on app is only available in the U.S., with no timeline announced for international expansion. But the idea behind Doppl — combining fashion, AI, and user-generated content — points to a much larger trend in tech-enabled personal shopping experiences.

In a broader AI race, giants like Meta hiring top OpenAI researchers and OpenAI securing defense contracts show how fiercely competitive this space has become. Google’s Doppl is its latest move to keep users within its growing AI ecosystem.

Why Doppl could reshape fashion and e-commerce

Doppl isn’t just a fun app — it could be a major shift in how people shop. Virtual try-ons are growing fast, especially in the post-pandemic world where more shoppers prefer buying clothes online. But until now, a big problem has remained: uncertainty about fit and look.

That’s where Doppl steps in. By letting users preview outfits on their own bodies, the app bridges the gap between digital shopping and real-world confidence.

For brands, this could also mean fewer returns, better customer satisfaction, and even new opportunities for personalized fashion marketing. Imagine a clothing brand letting you try its new collection directly on your Doppl avatar before it hits stores.

The app also taps into social sharing. Users can save and share their AI outfits, opening new doors for influencer marketing, social commerce, and style feedback from friends or communities.

From a technical standpoint, it’s a brilliant way for Google to gather rich data on clothing preferences, sizing patterns, and visual feedback — all crucial for improving not only Doppl but Google’s wider AI and AR tools.

In the ever-evolving AI landscape, innovations like Doppl are keeping Google in the game — just as NVIDIA became the world’s most valuable company by leading the AI hardware race.

So while Doppl may look like a playful experiment today, it’s laying the foundation for the future of AI-driven shopping. The more it evolves, the closer we get to a world where your next outfit is just one upload away.

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Aishwarya Patole
Aishwarya is an experienced AI and tech content specialist with 5+ years of experience in turning intricate tech concepts into engaging, relatable stories. With expertise in AI applications, blockchain, and SaaS, she creates data-driven articles, explainer pieces, and trend reports that drive impact.

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