Google Launches “Doppl” – An AI-Powered Virtual Try-On App

In News: Google Launches “Doppl” – An AI-Powered Virtual Try-On App

Date: June 26, 2025

Launched by: Google (under Google Labs)

Platform: Experimental AI-based consumer application


Context

Tech giant Google has launched “Doppl”, an AI-powered clothing try-on app that allows users to digitally change outfits and visualize how clothes look on them — without visiting a store or physical fitting room.

This represents a major leap in AI-driven fashion technology, combining computer vision, generative AI, and virtual modeling.


About Doppl

Developer: Google Labs (R&D & experimental innovation wing of Google)

Nature: AI-based Virtual Dressing & Fashion Visualization App


 Key Features

  1. 👕 AI-Powered Virtual Try-On:
    • Users can upload their photo to digitally try clothes using AI-generated outfits.
  2. 🧍 Animated Outfit Visualization:
    • Converts static images into AI-animated visuals to show how clothes move in real life.
  3. 🛍️ Shopping Integration:
    • Linked to Google Shopping, allowing users to browse and virtually try apparel before purchase.
  4. 🔬 Advanced AI Modelling:
    • Uses generative adversarial networks (GANs) and pose estimation for realistic dressing simulations.
  5. 🌈 User Customization:
    • Supports different body types, styles, and textures for personalized outfit previews.
  6. 🔒 Privacy Focus:
    • Operates under Google’s Responsible AI and Data Ethics framework to ensure safe user image handling.

Objectives

  • Enhance digital shopping experience.
  • Integrate AI personalization into e-commerce.
  • Reduce product returns through better fit visualization.
  • Bridge the gap between fashion and technology innovation.

Tech Significance

  • Builds on Google’s earlier “Virtual Try-On” feature for Google Shopping.
  • Represents a new trend in AI x FashionTech integration.
  • Marks Google’s expansion into immersive retail and AI-based consumer applications.

Wider Impact

  • May transform online retail, reducing dependence on physical stores.
  • Encourages AI-driven creativity in fashion and design.
  • Raises questions on data privacy, AI ethics, and digital body representation.
  • Opens new employment areas in AI fashion modelling, e-commerce UX, and digital styling.

    Updated - 27 Jun 2025, 03:10 PM | Mint