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šŸ‘— Google’s New AI App Lets You Try on Clothes Without Changing Out of Your Pajamas

Doppl is here—and it might just reinvent how we shop (or avoid shopping).

šŸ“Œ Story Highlights

🧠 Google launches Doppl, an AI-powered virtual try-on app

šŸ§ Users can upload a photo and see a moving, animated version of themselves in new outfits

šŸ“± Available now on Android and iOS—but only in the U.S.

🚧 Still experimental: Doesn’t support shoes, accessories, or perfect fits just yet

šŸ›ļø Could transform the future of e-commerce, fashion retail, and how we experience style

🧾 The Quick Context — Before We Dive In

  • Who? → Google (specifically, Google Labs)

  • What? → Doppl, an AI fashion app that animates your outfits on a virtual you

  • When? → Launched June 26, 2025

  • Where? → Currently U.S.-only, available on both Android and iOS

  • Why? → To make trying on clothes more convenient, digital, and personalized

🧵 Let Me Tell You a Story…

Picture this:

You’re lying on your couch, snacking on popcorn, doomscrolling through your feed when—bam—you spot a jacket you need in your life.

But trying it on? 🫠 That means getting up, facing dressing room lighting, maybe even talking to a human.

Not anymore.

Enter: Google’s Doppl — an AI-powered fashion try-on app that lets you see yourself in clothes without ever standing up.

With just a single photo, Doppl animates you (yes, literally you!) in the outfit of your choosing. Tops, dresses, pants—it even moves so you can see the fit in action.

It’s like if your mirror had a digital twin... and that twin had flawless taste.

šŸš€ How Doppl Works — and What It Can Do

šŸ§ā€ā™‚ļø It All Starts With a Photo

Upload a pic of yourself—standing, posing, awkward selfie, whatever works.

šŸŽ„ Watch Yourself Strut

Doppl animates your image wearing different outfits, letting you see the motion, not just a static fit.

šŸ›ļø Mix, Match & Save

  • Try on tops, bottoms, dresses

  • Save favorite looks

  • Upload clothing pics from social media or your local mall and test those, too

  • Share with friends (for opinions, praise, or roastings—your call)

🧪 Still in the Lab: What Doppl Doesn't Do Yet

āš ļø As experimental tech goes, Doppl isn’t flawless (yet). Here’s what to keep in mind:

  • No try-ons for shoes, accessories, lingerie, or swimwear

  • If you upload a partial outfit, the AI may auto-generate other pieces to fill in gaps

  • Some animations may feel off (AI-generated pants that are... not it)

šŸ‘€ Visual accuracy is improving, but expect the occasional digital wardrobe malfunction.

šŸŒŽ The Bigger Picture: AI + Fashion = Future

This isn’t just about trying on jeans.

Google is playing in the space where AI meets personal style, and Doppl is a bold step toward digitizing the retail experience.

And they’re not alone—apps like Glance AI and AI stylists are already racing to reimagine how we discover, shop, and express fashion online.

Why does it matter?

Because this shift could mean:

  • Fewer returns for online orders

  • More personalized shopping experiences

  • Greater inclusivity in fit, form, and function

  • Less time spent changing in awkward fitting rooms with broken locks (you know the ones)

🧠 ā€œWhy it matters to you and what actions you can takeā€

Here’s your playbook to stay ahead of the AI-fashion curve:

āœ… Download Doppl (U.S. only for now) on Android or iOS

āœ… Try uploading a clear, full-body photo and see how your digital twin rocks outfits

āœ… Experiment with pieces from Instagram or Pinterest to test before buying

āœ… Track fit consistency — and report any bugs to help the AI learn faster

āœ… Use it as a virtual stylist—save outfit combos for future purchases

āœ… If you're a brand or designer, explore how Doppl-like tech can power virtual catalogs and digital showrooms

āœ… Stay tuned: As Google refines Doppl, new categories (shoes, accessories) may open up

🧵 ā€œStyle is a way to say who you are without having to speak.ā€ —

 Rachel Zoe

TAWAI envisions a future where AI-driven leadership is not only intelligent but deeply ethical and human-centered. To bring this vision to life, TAWAI has launched the Young Global Leaders Lab (YGL Lab) — a program designed to empower the next generation of changemakers with the tools, mindset, and mentorship needed to navigate and shape a rapidly evolving, AI-influenced world.

This journey begins by identifying curious, mission-driven young minds across the globe and immersing them in a unique, project-based learning environment. Through cross-cultural collaboration, real-world problem solving, and guidance from AI experts and global leaders, TAWAI is turning potential into action — and ideals into impact.

The YGL Lab isn’t just a program. It’s the foundation of a long-term movement toward responsible, inclusive, and visionary leadership for the AI era.

šŸ› ļø Top 5 Tools in the AI Fashion Try-On Space

  1. Doppl by Google (Experimental)

  • What it does: Lets users upload a photo and see animated try-ons of outfits using AI.

  • Platform: Android & iOS (U.S. only)

  • Best for: Trying on digital outfits, creating lookbooks, and experimenting with personal style.

  • What it does: Offers virtual try-on technology for online shoppers using real model imagery and AI.

  • Platform: Integrated into Walmart’s shopping experience.

  • Best for: Realistic try-ons across multiple body types and personalized shopping.

  • What it does: AI visual recognition tool for fashion; lets users find clothing based on uploaded photos.

  • Platform: B2B AI solution used by fashion e-commerce platforms.

  • Best for: Style search and product recommendation based on images.

  • What it does: Full-suite AI tool for retailers offering virtual styling, visual search, and AI-generated models.

  • Platform: Web + API integrations for e-commerce.

  • Best for: Brands and online stores seeking personalization and automation in fashion retail.

  • What it does: Augmented reality try-on filters for clothing, shoes, and accessories.

  • Platform: Snapchat + SDK integration for brands.

  • Best for: Social media-driven try-ons and immersive product experiences.

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