
Virtual Try-On AI is changing how people shop online.
It helps customers see how clothes, accessories, or makeup will look on them—without visiting a store. All they need is a photo or camera. Behind the scenes, advanced AI and AR (Augmented Reality) make it feel real.
It solves a simple but serious problem in online shopping: no try-before-you-buy. That’s why returns go up and sales go down.
In this blog, we will Cover:
Let’s start by understanding the basics.

Virtual Try-On AI (VTO) uses artificial intelligence (AI), often combined with augmented reality (AR), to show how a product—like a dress, glasses, or makeup—would look on a person.
Instead of imagining how something might fit or look, users can:
The AI then creates a realistic preview, aligning the product with the user’s body, skin tone, facial shape, or measurements. It considers movement, lighting, and scale to make the try-on look natural.
There are two main approaches to Virtual Try-On experiences: AI-based and AR-based. Both serve the same goal—help customers visualise how a product will look on them—but they work differently behind the scenes.
This method uses artificial intelligence, especially generative models like GANs (Generative Adversarial Networks), to create a realistic image of a person wearing the product.
Here’s how it works:
Use cases: Fashion, jewellery, cosmetics, eCommerce chatbots.
AR stands for Augmented Reality. This method uses the device’s live camera feed to overlay digital items in real time—like Snapchat or Instagram filters, but far more advanced and accurate.
Here’s how it works:
Use cases: Eyewear, makeup, footwear, accessories, mobile-first eCommerce.
Many brands now use both methods—AI for static previews, AR for real-time try-ons—to create a complete and flexible customer experience.
Online shopping has grown fast, but one problem hasn’t gone away: uncertainty.
- Will this look good on me?
- Will it fit properly?
- Should I risk buying it without trying?
Virtual try-on directly addresses these concerns.
Customers are more likely to complete a purchase when they feel confident about how the product looks on them.
Fit and appearance-related returns are reduced when users can preview how an item fits their body type or face.
When shoppers feel understood, they’re more likely to return and recommend your store.
Shoppers find what fits faster. No need to browse endlessly or rely only on size charts.
It work on both desktops, whatsapp, telegram, phones without even needing to download any app.
Creating your own Virtual Try-On AI doesn’t require a full engineering team or a big budget. Using YourGPT, you can build and deploy AI try-on experience in minutes—no code, no complex setup.
Start by downloading the Virtual Try-On system template.
This file contains all the pre-built AI try-on logic, image upload flows, and try-on experience generation.
Note: To download the template contact our website support team.
Go to your chatbot Dashboard. if you don’t have an account yet, you can create one for free to get started.
From the left sidebar, go to AI Studio—the visual builder where you manage your AI agent flows.
This is where you’ll import and configure the try-on assistant.
Click the Import button in AI Studio and upload the downloaded system template file. After importing it will ask you for your credentials, you need to add your Key.
Once uploaded, you’ll see a ready-to-go try-on assistant that:
Customise the Try-on Experience as you want it work.
Before publishing, test the assistant end-to-end:
Make sure the try-on image loads correctly and that all fallback messages are in place in case something fails.
Once everything is working smoothly:
Your try-on assistant is now live and can help customers visualise products before they buy—directly from chat.
Once your basic Virtual Try-On AI is live, you can go beyond the default setup and build a more engaging, personalised, and conversion-friendly experience.
Here are powerful enhancements you can implement to make your try-on assistant even more effective:
Ask for the photo once, store it (with consent), and reuse it for future sessions. This means users don’t have to upload the same image each time—making the experience feel smoother and more personalised.
Use in-chat product carousels to display outfits or items, with a “Try-On” button built into each card. This allows users to browse and try on products directly within the chat, without navigating away.
Add a “Try-On” button next to every product listing on your website.
When signed-in then only enable the try-on options for the users.
Once the try-on result is displayed, show:
You can use AI-powered recommendation logic or integrate with your existing product engine.
This helps move users from try-on to add-to-cart, increasing order value without being pushy.
Offer users the option to receive their try-on result via email or text. This lets them:
Virtual Try-On solves a very real problem in online shopping: customers can’t try products before they buy. This leads to uncertainty, hesitation, and more returns than necessary.
By letting people see how clothes, makeup, or accessories would actually look on them, it makes shopping easier and decisions more confident. It’s simple—when shoppers feel sure, they’re more likely to buy, and less likely to return what they ordered.
The technology behind it doesn’t need to be complex for the user. With the right setup, it feels fast, personal, and reliable. That’s what builds trust. And in today’s crowded eCommerce space, trust is what turns visits into sales, and first-time buyers into repeat customers.
Join thousands of businesses transforming interactions with YourGPT AI
No credit card required • Full access • Limited time offer

Growth-focused teams move faster when their tools work together instead of competing for attention. Modern development depends on multiple systems to ship code, review changes, monitor services, and access data. Each system serves a purpose, but routine work often means moving between dashboards, scripts, and internal tools. These small transitions shape how consistently a team […]


Most customer service moments begin long before a ticket is created. Something feels off. A payment does not go through. A delivery update stops moving. A user gets stuck at the same step and tries again. Customers usually pause, check, retry, and wait before they decide to ask for help. Proactive customer service works inside […]


AI has become a core part of how modern SaaS products are built and delivered. In 2026, customers expect intelligent assistance to be available throughout their journey, from onboarding and everyday product usage to support and account management. Inside SaaS teams, AI is increasingly used to speed up workflows, reduce repetitive tasks, and improve how […]


Shopify stores often use a chatbot on their website to handle product questions, order updates, and support. But customers also message on WhatsApp expecting the same quick answers. Most of them already use WhatsApp throughout the day, so reaching out there feels natural. A chatbot that works across both channels responds in seconds, guides purchase […]


Most businesses do not struggle to generate leads. They struggle to know which ones are worth acting on. Forms get filled, DMs arrive, emails are opened, and chats happen across multiple tools. Some prospects convert. Most do not. The real problem is that there is no reliable way to tell, early enough, which signals actually […]


Artificial Intelligence has advanced quickly over the past five years, moving from an experiment to a standard component of modern business. AI has become a central part of enterprise strategy. 88% of organizations are now using AI. This figure has increased from 78% the year before. This transformation is reshaping how companies run, communicate, and […]
