Can Perplexity Virtual Try On Beat Google Doppl?

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Online shopping for clothes has always been a gamble. You see a jacket you love, order it, wait for days, and then it arrives looking nothing like you imagined. This problem is now ending thanks to AI virtual try on tools. Two major players have entered the arena: Perplexity and Google. Both promise to show you exactly how clothes will look on your body before you buy them. But which one is actually better for shoppers like you?

Key Points

  • Perplexity virtual try on creates a digital avatar from your photo in under 1 minute, letting you see how individual clothing items will look on your body before buying. Available for Pro and Max subscribers at $20 per month in the US only.
  • Google Doppl is a free standalone app that lets you screenshot any outfit from anywhere online and try it on virtually. It creates animated videos showing fabric movement and poses, making it more flexible but slower than Perplexity.
  • Perplexity wins on speed and convenience with integrated shopping, while Google Doppl wins on flexibility with full outfit support and creative styling features. Choose based on your needs: fast shopping decisions or outfit experimentation.
  • The virtual try on market is growing from $5.8 billion in 2024 to $27.7 billion by 2031. Future tools will use 3D body scanning, personalized AI styling, and video simulations showing you walking in clothes before purchase.

What is Perplexity Virtual Try On?

Perplexity launched its virtual try on feature in late November 2025. This tool changes how you shop online by letting you upload your photo and create a digital avatar. Once your avatar is ready, you can see how real clothing items from online stores will look on your actual body shape.

The process is simple and fast. You open Perplexity and go to the shopping tab. Search for any clothing item like winter jackets or colorful shirts. When you find something interesting, a Try On button appears next to the product. Click it and wait less than a minute. Perplexity then shows you wearing that exact piece. It accounts for how the fabric drapes around your body shape and posture.

Setting up takes just three clicks after you upload your photo. You can choose between uploading just a selfie or a full body shot. The full body option gives more accurate results because Perplexity can match your real body instead of placing your head on a generic body. Right now, this feature is available only in the United States for users who pay $20 per month for Perplexity Pro or Max.

What is Google Doppl?

Perplexity Virtual Try On
image source- google.doppl.

Google Doppl takes a different approach to virtual try on. It is an experimental app under Google Labs that you download separately from Google Play Store or App Store. Doppl is available for anyone aged 18 and older in the United States with a Google account.

What makes Doppl special is its flexibility. You can screenshot any outfit from anywhere on the internet. Whether you spot something on Pinterest, Instagram, or Google Images, just take a screenshot and upload it to Doppl. The app then generates images showing you wearing that outfit.

But Doppl goes beyond static images. It creates short AI videos showing you in animated poses like waving or giving a peace sign. These videos simulate how fabric flows and moves on your body. This gives you a more realistic preview. Google built safety features into Doppl too. It blocks inappropriate uploads and public figure images. Every output has invisible watermarks for authenticity.

The downside is speed. Doppl takes much longer than Perplexity to process your try ons. Google is still testing this technology, so users might see mistakes related to body shape or clothing details. However, Doppl is free to use with monthly generation limits. This makes it available to more people.

Perplexity Virtual Try On vs Google Doppl

FeaturePerplexity Virtual Try OnGoogle Doppl
Processing SpeedUnder 1 minute per try onMuch slower than Perplexity
Clothing SupportIndividual items only (shirts, jackets, pants)Full outfits including tops, bottoms, dresses
Video AnimationNo, static images onlyYes, animated poses with fabric movement
Platform TypeBuilt into Perplexity appSeparate app needs download
Source FlexibilityOnly Perplexity shopping resultsAny outfit from any website via screenshot
Pricing$20 per month (Pro or Max subscription)Free with monthly generation limits
Shopping IntegrationBuy directly from try on resultsNo shopping feature, styling only
AvailabilityUS only, Pro or Max usersUS only, 18 plus with Google account
Body SetupSelfie or full body photo optionsFull body photo upload
AccuracyRealistic draping and fitGood but may have errors sometimes
Best ForQuick shopping decisionsCreative styling and outfit testing
Safety FeaturesStandard Perplexity privacyContent filtering and watermarks

Speed Champion

Perplexity wins the speed battle without question. Each try on takes under one minute. This makes it perfect for shoppers who want instant visual feedback. You stay inside the Perplexity app the whole time without switching between different platforms. This smooth experience feels natural, like browsing and trying on clothes in one easy flow.

Google Doppl requires more patience. You need to screenshot outfits from other places, open the Doppl app, upload the image, and then wait for processing. The extra steps and longer wait time make it less convenient for quick shopping decisions.

Flexibility Winner

Perplexity Virtual Try On
image source- dopple

Google Doppl wins when it comes to flexibility and creative freedom. You can try on complete outfits including tops, bottoms, and full dresses. The screenshot feature means you can test any outfit from any website, social media post, or online image. This freedom lets you play with different style combinations before buying anything.

Perplexity limits you to individual clothing pieces like shirts, jackets, or pants. It cannot handle complete outfits like full suits. Costume pieces also rarely show the try on button. This limit makes Perplexity less useful for people who want to see entire looks together.

Innovation Factor

Google Doppl brings something truly unique with its animated video feature. Short AI videos show you in different poses while wearing the outfit. These videos show how fabric flows when you move. This moving preview gives you a much better sense of how clothing behaves in real life compared to still images.

Perplexity sticks to still images but focuses on accuracy and easy use instead of flashy features. The realistic fabric draping and body shape matching help you make confident buying decisions quickly.

The Future of AI Virtual Try-On Technology

Virtual try on is just getting started. The global market is growing from $5.8 billion in 2024 to a projected $27.7 billion by 2031. This huge growth shows that AI fashion tools will become normal parts of our shopping experience very soon.

Technology improvements will make these tools even better. Better AR and machine learning will create more exact body measurements and fit views. Future versions might use advanced 3D body scanning to capture every detail of your body. This will make virtual try ons almost the same as real life fitting rooms.

Video try ons are the next big step. Research from companies like Alibaba shows development of video virtual try on tools. These tools show realistic versions of you walking and moving while wearing clothes. Imagine watching yourself walk down a street in that new dress before buying it. This technology will remove almost all doubt from online shopping.

AI will also get smarter at understanding your personal style. Future tools will look at your past purchases, browsing habits, and even your social media to suggest outfits that match your unique taste. Combined with virtual try on, you will get personal suggestions that you can test right away on your digital avatar.

The environmental impact matters too. Virtual try on greatly reduces return rates because shoppers can see fit and style before buying. Lower returns mean less waste, fewer carbon emissions from shipping, and better care for our planet. As climate concerns grow, these tools will become essential for eco friendly shopping.

Stores are already seeing huge benefits. Estée Lauder saw conversion rates increase by 2.5 times after adding virtual try on. Another brand saw 200% higher conversions after adding photo based try on for over 320 products. These results prove that virtual try on is not just a fun toy but a serious business tool that changes shopping behavior.

Looking ahead, these technologies will merge with other AI shopping features. You might chat with an AI assistant that suggests outfits, shows you wearing them instantly, checks your calendar to see what events you need clothes for, and completes the purchase automatically. The line between browsing, trying on, and buying will disappear completely.

So Which Tool Should You Use?

The answer depends on what you need right now. Choose Perplexity virtual try on if you want speed, convenience, and easy shopping. It works perfectly for shoppers who browse inside Perplexity and need quick visual confirmation before buying individual items. The $20 monthly cost is worth it if you shop online often and already use Perplexity for other features.

Choose Google Doppl if you want creative freedom and do not mind slower processing. It excels at letting you test complete outfits from any source on the internet. The free access and video animations make it ideal for people who enjoy styling themselves and want to test different looks before buying.

Both tools represent major steps forward in AI fashion technology. Neither is perfect yet, but they show where online shopping is heading. As these platforms improve and compete, shoppers will be the real winners. The days of ordering clothes blindly and hoping they fit are ending. Welcome to the future of shopping where you see yourself in every outfit before spending a single dollar.

Sophia Lin
Sophia Lin
From AI-driven art to remote work trends, Sophia is curious about how technology changes the way we live and interact. She writes with a people first approach, showing not just what’s new in tech, but why it matters in everyday life. Her goal: to make readers feel the human side of innovation.

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