Immersive Retail Reimagined: Top 12 Virtual Try-On Tools Elevating the Shopping Journey

Artificial intelligence has certainly changed how we shop, making it far better and more convenient. For instance, customers no longer have to guess how a product would look on them. With the evolution of virtual try on tools, they can easily get a realistic estimate of the product, its appearance, fit, and more online. Here, I will let you know about some of the best virtual AI-powered try-on tools that you can try as well!

What are Virtual Try On Tools?

As the name suggests, virtual try on tools let us try any product, makeup, hair color, and so on – virtually. These tools are based on augmented reality and can be integrated with the output of your device’s camera. Users can either upload their existing photos/videos or use their device’s camera to try any product.

These tools are powered by artificial intelligence that can detect the human face and will add a layer of the product. This is done so smartly that it yields a realistic output. In this way, the user can judge how they would look in a dress, glasses, jewelry, makeup, etc. before buying it.

A virtual try-on is a technology that allows customers to virtually “try on” products like clothing, accessories, makeup, or eyewear using their computer, mobile device, or augmented reality (AR) before making a purchase online.

Here’s how a virtual try-on works

Explanation of AR and Machine Learning in Virtual Try-Ons

Augmented Reality (AR): Augmented Reality (AR) is a technology that superimposes computer-generated images, sounds, or other data onto a user’s view of the real world. In the context of virtual try-ons, AR allows users to see how products, such as clothing, accessories, or makeup, would look on them in real time.

• Face and Body Tracking: AR uses advanced tracking algorithms to map and follow the user’s facial features or body movements. This enables the virtual items to stay in place as the user moves.
• Real-Time Rendering: AR systems render the virtual items in real time, ensuring they appear naturally integrated with the user’s image, considering lighting, shading, and perspective.

Machine Learning: Machine learning is a subset of artificial intelligence that involves training algorithms on large datasets to make predictions or decisions without being explicitly programmed for specific tasks. In virtual try-ons, machine learning enhances the accuracy and realism of the experience.

• Image Recognition: Machine learning algorithms can analyze and recognize various aspects of the user’s body or face, such as skin tone, body shape, and facial features. This analysis helps in tailoring the virtual items to fit and appear as realistic as possible.
• Personalization: Machine learning models can learn user preferences over time and suggest items that suit their style, enhancing the shopping experience.

Overview of Key Technologies and Algorithms Used

1. Computer Vision:
   • Facial Landmark Detection: Algorithms identify and track key points on the face (e.g., eyes, nose, mouth) to ensure virtual items, like glasses or makeup, align correctly.
   • Pose Estimation: Detects the orientation of the body and limbs, allowing clothing and accessories to be rendered accurately as the user moves.
2. 3D Modeling and Rendering:
   • 3D Mesh Generation: Creates a 3D model of the user’s body or face based on captured images. This mesh acts as a framework on which virtual items are placed.
   • Real-Time Shading and Lighting: Ensures virtual items are rendered with realistic shadows and highlights, matching the lighting conditions of the user’s environment.
3. Artificial Neural Networks (ANNs):
   • Convolutional Neural Networks (CNNs): Used for image processing tasks such as detecting facial features and recognizing body parts. CNNs help in segmenting and analyzing the visual input accurately.
   • Generative Adversarial Networks (GANs): Can create highly realistic virtual items by learning from a dataset of real images. GANs consist of two networks—the generator and the discriminator—that work together to improve the realism of generated images.
4. Natural Language Processing (NLP):
   • Voice Commands and Virtual Assistants: Some advanced virtual try-on systems integrate NLP to allow users to interact with the system through voice commands, making the experience more intuitive.
5. Cloud Computing:
   • Data Processing and Storage: Virtual try-on applications often rely on cloud computing to process the large amounts of data required for real-time rendering and machine learning. This allows for scalable and efficient performance.
6. Edge Computing:
   • Low Latency Performance: By processing data closer to the user’s device, edge computing reduces latency, ensuring a smoother and more responsive virtual try-on experience.

The key benefits of virtual try-on technology include:

• Increased confidence in online purchases by allowing realistic product visualization.
• Reduced product returns and customer hesitancy.
• Enhanced customer experience and engagement.
• Ability to try an unlimited number of options from anywhere.
• Up to 90% increase in conversion rates for customers using try-on.

Virtual try-on bridges the gap between online and in-store shopping by providing customers with a more immersive, personalized way to explore and evaluate products before buying, leading to higher sales conversions for retailers.

Real-life Use Cases and Examples of Virtual Try-ons

In the last few years, virtual try on tools have become extremely popular with more and more brands integrating them into their native platforms.

Clothing: This is the most common industry in which AR is already being integrated. Clothing companies like Dior, Marc Jacobs, and Prada already offer virtual try-on features on their websites.

Accessories: Users can also try different accessories like bags, jewelry, shoes, etc. For example, with the Nike Virtual View, users can see how a pair of shoes from Nike will fit them.

Sunglasses: Almost every major sunglass and eyecare brand is offering AR features now. You can explore virtual glasses try on options on websites like Lenskart, Eyeconic, Sunglass Hut, Glasses, etc.

Makeup: Before buying a makeup product, users can check how it would look on their skin before. Maybelline is one of the first leading brands which has integrated the virtual makeup try on experience on its website.

Hair color: Yes – you can even check how a hair color shade would look on you in advance. Global companies like Garnier and L’Oréal Paris have already integrated this on their websites.

Best AI Models to Showcase Your Products

If you want to come up with a visually stunning catalog to showcase your products, then consider trying an AI fashion model tool. With these solutions, you can instantly place your products on AI models and make them more appealing.

Comparison Chart of Virtual Try-On Tools

Feature	iFoto AI Fashion Models	StyleAI AI Fashion Studio	VMake
Description	AI tool for generating virtual fashion models	AI-powered studio for virtual fashion try-ons	Virtual try-on platform for fashion and accessories
AR Integration	Yes	Yes	Yes
Machine Learning Algorithms	Advanced image recognition and rendering	Personalized recommendations and fit analysis	Realistic rendering with body and face tracking
3D Modeling	High-fidelity 3D models of clothing items	Customizable 3D avatars	Detailed 3D rendering of apparel and accessories
User Personalization	Customizable avatars	Tailored suggestions based on user data	Personal avatar creation and customization
Platform Compatibility	Web, iOS, Android	Web, iOS, Android	Web, iOS, Android
Ease of Use	User-friendly interface	Intuitive and easy to navigate	Simple and accessible interface
Real-Time Rendering	Yes	Yes	Yes
Social Media Integration	Yes	Yes	Yes
Pricing	Subscription-based, tiered pricing	Subscription-based, tiered pricing	Subscription-based, tiered pricing
Customer Support	Email, live chat	Email, live chat, phone support	Email, live chat

#1: iFoto AI Fashion Models

AI Fashion Models is a dedicated tool offered by iFoto that lets us turn product or mannequin photos into stunning model shots. The AI-powered platform is super-easy to use, and you can try it for free to create realistic model shots.

• On iFoto, you can select models based on their age, gender, size, ethnicity, etc. to create unique shots.
• With the help of iFoto, you can quickly come up with a diverse catalog on a budget.
• The iFoto Studio also offers other features that can help you change the background of your images or the color of your products.
• There are multiple options to customize AI models so that you can showcase your product in the best way.
• iFoto is available for free and its generated images can be used without any licensing issues.

• Pros:
  • High-quality 3D models and realistic rendering
  • Strong AR integration for immersive experiences
  • Customizable avatars to match user preferences
• Cons: /

#2: StyleAI AI Fashion Studio

StyleAI has also come up with a dedicated fashion studio that you can leverage for your eCommerce store. Using StyleAI, you can generate AI fashion models to showcase your products like a pro.

• On StyleAI, you can customize your fashion model for parameters like ethnicity, hairstyle, size, and so on.
• With its free version, you can generate one image at a time, but you can generate multiple images simultaneously with its pro version.
• It supports realistic output of images in up to 2K HD resolution.
• You can access other features of the Studio to edit your images.

• Pros:
  • Advanced machine learning algorithms for personalized recommendations
  • Comprehensive platform compatibility
  • Excellent customer support with multiple contact options
• Cons:
  • Can be complex for new users without technical knowledge
  • Higher price point compared to other tools

#3: VMake

VMake provides a wide range of creative, eCommerce-driven AI solutions in one place. You can access the web or mobile app of VMake for creating AI fashion models or editing your images.

• With VMake, you can place your products on AI fashion models in a hassle-free way.
• There are multiple options to customize your model’s overall appearance and look.
• Apart from models, you can also come up with visually appealing product placements.
• The VMake studio lets us use AI to enhance an image or remove watermarks.

• Pros:
  • Realistic rendering and detailed 3D models
  • Easy-to-use interface, suitable for all user levels
  • Strong focus on fashion and accessories
• Cons:
  • May lack some advanced features offered by competitors
  • Customer support limited to email and live chat only

Virtual Glasses Try On Platforms

If you are planning to buy new glasses online, then you can explore virtual glasses try on tools. With these platforms, you can virtually check how any pair of eyewear would look on you.

Feature	Glasses	Warby Parker	DeepAR
Description	Virtual try-on tool for eyewear	Virtual try-on for Warby Parker glasses	AR platform for creating virtual try-on experiences
AR Integration	Yes	Yes	Yes
Machine Learning Algorithms	Face detection and fitting algorithms	Advanced face mapping and style recommendations	Facial recognition and real-time AR processing
3D Modeling	Accurate 3D models of glasses	High-quality 3D models	Customizable 3D assets for various products
User Personalization	Basic style recommendations	Personalized eyewear suggestions	Flexible customization options for brands
Platform Compatibility	Web, iOS, Android	Web, iOS, Android	Web, iOS, Android
Ease of Use	Simple interface, easy to use	User-friendly and intuitive	Developer-friendly, requires some technical knowledge
Real-Time Rendering	Yes	Yes	Yes
Social Media Integration	Yes	Yes	Yes
Pricing	Free	Free	Subscription-based, pricing varies by usage
Customer Support	Email support	Email, phone support	Email, live chat support

#1: Glasses

Glasses is one of the most popular online stores from where you can buy stylish sunglasses or optical glasses. The tool also supports an AR feature on which you can virtually try any product.

• You can simply use the camera of your phone or laptop to try glasses on a real-time basis.
• With its Virtual Mirror feature, you can try multiple glasses and compare them as well.
• Glasses also let us come up with collections and save our favorite products.

• Pros:
  • Easy-to-use interface, accessible for all users
  • Accurate 3D models and real-time AR integration
  • Free to use, making it widely accessible
• Cons:
  • Basic style recommendations may not be as personalized
  • Limited to eyewear, lacks broader application features

#2: Warby Parker

Warby Parker has come up with an interactive mobile app, which is filled with AR features. Using the app’s virtual sunglasses try on option, you can try any product on your face online.

• Warby Parker has built its native AR tool that can provide personalized measurements for your products.
• The AI tool can automatically measure your pupillary distance based on the real-time video.
• You can instantly switch between multiple eyewear products and check if they fit you or not.

• Pros:
  • High-quality 3D models with advanced face mapping
  • Personalized style recommendations enhance user experience
  • User-friendly interface designed for easy navigation
• Cons:
  • Limited to Warby Parker products, not applicable to other brands
  • Focuses solely on eyewear, no other product categories

#3: DeepAR

DeepAR provides augmented reality solutions for other businesses that want to include AI features on the platform. The B2B company can help you integrate the virtual sunglasses try on option on your platform easily.

• DeepAR uses its proprietary tech that can integrate the AR feature on any website.
• The virtual feature will let customers try your glasses or any other product virtually.
• Apart from sunglasses, it also provides virtual AR services for makeup, hair color, jewelry etc.

• Pros:
  • Highly customizable, suitable for various virtual try-on experiences
  • Advanced facial recognition and real-time AR processing
  • Compatible with multiple platforms, offering broad application
• Cons:
  • Requires technical knowledge for setup and customization
  • Subscription-based pricing may be a barrier for small businesses

Virtual Hair Color Try On Platforms

Just like glasses, you can also try any hair color shades online. Several global brands have come up with dedicated AR features to try hair colors.

Feature	L’Oréal Paris	Garnier	Matrix
Description	Virtual try-on tool for makeup and hair color	Virtual try-on for hair color and skincare	Professional hair care brand with virtual try-on
AR Integration	Yes	Yes	Yes
Machine Learning Algorithms	Advanced image recognition for makeup and hair	Hair color matching and skin analysis	Hair color and style matching
3D Modeling	High-quality rendering of makeup and hair	Realistic hair color rendering	Detailed 3D rendering of hair styles
User Personalization	Personalized recommendations	Tailored hair and skincare advice	Customizable hair style options
Platform Compatibility	Web, iOS, Android	Web, iOS, Android	Web, iOS, Android
Ease of Use	Intuitive and user-friendly	Simple and accessible	Professional interface with advanced options
Real-Time Rendering	Yes	Yes	Yes
Social Media Integration	Yes	Yes	Yes
Pricing	Free	Free	Free
Customer Support	Email, live chat	Email, live chat	Email, live chat

#1: L’Oréal Paris

L’Oréal Paris is one of the biggest beauty brands out there, which frequently leverages AI tools on its platform. You can just go to its online tool to upload your picture and select a desired hair color from its wide range.

• The AR tool will automatically detect your face and hairstyle to provide an optimal experience.
• You can select hair color shades from L’Oreal that are listed under multiple categories.
• There is an option to get a real-time preview of the look with the device’s camera or you can upload any existing picture.

• Pros:
  • High-quality rendering for both makeup and hair color
  • Advanced image recognition and real-time AR integration
  • Personalized product recommendations enhance user experience
• Cons:
  • Focuses primarily on makeup and hair color, limited to L’Oréal products
  • Can be overwhelming for users new to virtual try-on technology

#2: Garnier

Garnier has also come up with a user-friendly virtual hair color try on solution that you can access online. The AR tool can be accessed by visiting Garnier’s website or via its mobile app.

• The AR tool by Garnier will carefully examine your face, hairstyle, texture, etc. while analyzing the input.
• You can just upload your image and select any preferred hair color that is offered by Garnier.
• There is an option to instantly switch between different shades and share the results with others.

• Pros:
  • Tailored advice for hair color and skincare
  • Simple, user-friendly interface suitable for all users
  • Free access makes it accessible to a wide audience
• Cons:
  • Limited to hair color and skincare, lacks makeup try-on options
  • May not offer as advanced AR integration as competitors

#3: Matrix

Matrix is also known for having one of the widest lines of hair color shades out there. Now, you can try all of them virtually by visiting its virtual hair color try on platform online.

• You can just upload your headshot, let the AR tool analyze it, and select any hair color from its catalog.
• To make things easier for you, Matrix has already listed its entire catalog under different shades.
• You can also make the shade lighter or darker by up to 5-tone to get perfect results.

• Pros:
  • Professional-grade tool with detailed hair style options
  • High-quality 3D rendering and customizable hair styles
  • Suitable for professional use, enhancing salon services
• Cons:
  • Primarily focused on hair care and styling, no makeup or skincare options
  • Interface may be more complex for casual users

Virtual Makeup Try On Platforms

There are also multiple platforms where you can try makeup products online. This is certainly one of the best ways to find the right shade for your skin tone without the hassle of returns.

Feature	MakeupAR	Maybelline	NYX Makeup
Description	Virtual try-on tool for makeup products	Virtual try-on for Maybelline makeup	Virtual try-on for NYX Professional Makeup
AR Integration	Yes	Yes	Yes
Machine Learning Algorithms	Advanced facial recognition and makeup application	Face mapping and shade matching	Facial recognition and personalized recommendations
3D Modeling	High-fidelity 3D models of makeup looks	Realistic rendering of makeup products	Detailed 3D rendering of makeup looks
User Personalization	Customizable makeup looks	Tailored makeup recommendations	Personalized makeup suggestions
Platform Compatibility	Web, iOS, Android	Web, iOS, Android	Web, iOS, Android
Ease of Use	User-friendly interface	Intuitive and easy to navigate	Simple and accessible interface
Real-Time Rendering	Yes	Yes	Yes
Social Media Integration	Yes	Yes	Yes
Pricing	Free	Free	Free
Customer Support	Email, live chat	Email, live chat	Email, live chat

#1: MakeupAR

MakeupAR is a reputed B2B platform that can help you integrate this AR feature into your eCommerce store. There are multiple pricing options that small, medium, or big eCommerce store owners can explore.

• MakeupAR provides dedicated AR solutions for trying blushes, lip balms, eyeliners, lip colors, and so on.
• It runs a true-to-life AR technology to produce perfect results for different skin tones.
• You can integrate MakeupAR into your store and try it for free for up to 30 days.

• Pros:
  • High-fidelity 3D models and advanced facial recognition
  • Real-time AR integration for realistic makeup application
  • Customizable makeup looks to suit individual preferences
• Cons:
  • Limited to makeup, lacks broader product integration
  • May require a learning curve for users unfamiliar with AR technology

#2: Maybelline

Maybelline hosts a highly advanced virtual makeup try on feature on its website. You can either use your camera’s live feed or upload your headshot to access its AR options.

• The AR tool by Maybelline will let you find the perfect blush and foundation based on your skin tone.
• There are options to try an extensive range of products including eyeliners, lip colors, etc.
• You can instantly save the AR image from Maybelline’s website/app and share it with your friends.

• Pros:
  • Realistic rendering and face mapping for accurate makeup application
  • Tailored makeup recommendations enhance user experience
  • Easy-to-navigate interface designed for quick usage
• Cons:
  • Limited to Maybelline products, not applicable to other brands
  • Focuses solely on makeup, no other product categories

#3: NYX Makeup

The virtual try on experience provided by NYX Makeup on its website is definitely worth a try. You can access this AR feature on NYX Makeup’s mobile app and use the camera to get a real-time preview of its products.

• Using the AR feature of NYX Makeup is extremely easy and can be accessed via its app.
• The NYC Makeup app will let you find the perfect products that are best suited for your skin tone.
• You can share the results with others and even save the AR videos offline to replay them.

• Pros:
  • Detailed 3D rendering and personalized makeup suggestions
  • Simple and accessible interface suitable for all users
  • Strong focus on professional makeup looks and techniques
• Cons:
  • Limited to NYX products, which may restrict user choice
  • Primarily focuses on makeup, with no skincare or other beauty products

How to make a virtual try-on?

1. Capture High-Quality Product Images/3D Models
   Start by capturing high-resolution photos or creating detailed 3D models of your products from multiple angles. This will allow customers to view the items realistically from different perspectives during the virtual try-on.
2. Choose an AR Technology Platform
   Select an augmented reality (AR) platform or software development kit (SDK) that will power your virtual try-on experience. Popular options include Apple’s ARKit, Google’s ARCore, and third-party AR commerce platforms like Zakeke.
3. Integrate AR into Your Website/App
   Integrate the chosen AR technology into your e-commerce website or mobile app. This can be done through plugins, APIs or by building a custom integration with the help of developers.
4. Enable Camera Access
   Allow customers to access their device’s camera so the AR software can map the product onto their face/body in real-time for virtual try-on. You can also give the option to upload a photo instead of using the live camera feed.
5. Implement Face/Body Tracking
   Utilize computer vision algorithms for accurate face/body tracking to ensure the virtual product placement looks realistic as the customer moves and changes angles.
6. Allow Customization
   Enable customers to customize the virtual try-on experience by allowing them to change product colors, styles, zoom in/out, rotate, etc. This enhances engagement.
7. Optimize for Performance
   Ensure a smooth virtual try-on experience by optimizing the AR integration for performance, especially on mobile devices. This may involve techniques like model compression and efficient rendering.
8. Test and Refine
   Thoroughly test the virtual try-on flow on different devices and gather user feedback to identify and resolve any issues or areas for improvement.
9. Promote the Feature
   Market your virtual try-on capability through your website, social media, email campaigns, and in-store displays or kiosks to drive customer awareness and adoption.

By following these steps, you can create an immersive, user-friendly virtual try-on experience that enhances your online shopping experience, increases customer confidence, and potentially boosts sales conversions.

Predictions for the Future of Virtual Try-Ons

1. Increased Adoption and Integration:
   • Mainstream Adoption: As virtual try-on technology becomes more advanced and user-friendly, it is expected to be widely adopted by mainstream fashion retailers, beauty brands, and e-commerce platforms.
   • Omnichannel Integration: Virtual try-ons will be integrated seamlessly across various channels, including in-store, online, and mobile shopping experiences, providing a cohesive and convenient customer journey.
2. Enhanced Realism and Accuracy:
   • Improved Image Quality: Future advancements in graphics processing and computer vision will result in even more realistic and high-resolution virtual try-on experiences.
   • Better Fit and Customization: Enhanced algorithms will provide more accurate fit and sizing recommendations, allowing for highly personalized virtual try-ons that closely mimic real-world interactions.
3. Personalized and Interactive Experiences:
   • AI-Driven Personalization: AI will analyze user preferences and behaviors to offer highly tailored recommendations, making the shopping experience more personalized and engaging.
   • Interactive Features: Virtual try-ons will incorporate more interactive elements, such as user-generated content, social sharing options, and gamification, to increase engagement and enjoyment.
4. Broader Product Range:
   • Beyond Fashion and Beauty: Virtual try-on technology will expand beyond clothing and makeup to include a wider range of products, such as eyewear, footwear, accessories, and even furniture.
   • Virtual Fashion Shows: Brands may leverage virtual try-ons to host interactive, virtual fashion shows where users can instantly try on and purchase items as they view them on virtual models.

Emerging Technologies and Innovations

1. Advanced Augmented Reality (AR) and Virtual Reality (VR):
   • Mixed Reality Experiences: The convergence of AR and VR, known as mixed reality, will provide immersive virtual try-on experiences where users can interact with products in a fully virtual environment.
   • Haptic Feedback: Integration of haptic technology will allow users to feel textures and materials virtually, enhancing the sensory aspect of virtual try-ons.
2. 3D Scanning and Modeling:
   • Body Scanning Technology: Advanced 3D body scanning will enable precise measurements and create accurate digital avatars for users, improving the fit and personalization of virtual try-ons.
   • High-Fidelity 3D Models: Improved 3D modeling techniques will produce highly detailed and lifelike virtual representations of products, making virtual try-ons more convincing.
3. Artificial Intelligence (AI) and Machine Learning:
   • Deep Learning Algorithms: Future AI models will utilize deep learning to better understand and predict user preferences, body shapes, and fit requirements, resulting in more accurate and personalized recommendations.
   • Predictive Analytics: AI will leverage big data to predict trends and consumer behavior, allowing retailers to offer timely and relevant virtual try-on options.
4. Blockchain and Digital Identity:
   • Secure Digital Identities: Blockchain technology will be used to create secure, verifiable digital identities for users, ensuring privacy and security during virtual try-on sessions.
   • Virtual Ownership: Blockchain can also facilitate virtual ownership and digital wardrobes, where users can buy, sell, and trade virtual fashion items.
5. Sustainable and Ethical Practices:
   • Reducing Waste: Virtual try-ons will help reduce the environmental impact of fashion by minimizing the need for physical samples and returns, leading to less waste.
   • Ethical Sourcing: AI can assist in ensuring ethical sourcing and manufacturing practices by providing transparency and traceability throughout the supply chain.

Virtual try-on technology enhances the online shopping journey, increases customer satisfaction, boosts sales performance, promotes sustainability, and strengthens brand-customer relationships, making it a valuable asset for businesses across industries.

Final thoughts

With the right virtual try on solution, you can make your online store so much better! It can make the entire shopping experience more immersive for your customers and they can easily find the right product. Not just that – these AR tools can also help you optimize the return rate of products and improve their overall sales. Feel free to explore these tools and give iFoto Studio a try to come up with realistic AI models for your store in seconds!

FAQs

Can I virtually try on clothes?

Yes, you can virtually try on clothes using AI-powered virtual try-on technology. This innovative technology allows you to upload a photo of yourself and virtually “try on” different clothing items using artificial intelligence and augmented reality.Here are some key things to know about virtually trying on clothes with AI:

1. It provides a realistic virtual fitting experience, allowing you to see how different garments would actually look on your body shape and size before purchasing.
2. The AI is able to map clothing items onto your photo, accounting for fit, fabric drape, and movement to simulate how the garment would look in real life.
3. You can virtually “try on” multiple outfits and styles with just a few clicks, enabling you to visualize different looks and find the perfect ensemble.
4. Virtual try-on technology uses computer vision and AI to map the clothing onto your photo realistically, providing an immersive experience.
5. Many fashion brands and retailers are integrating virtual try-on capabilities into their websites and apps to enhance the online shopping experience.

To virtually try on clothes, simply upload a photo of yourself to the virtual try-on platform and follow the prompts to select different garments and styles you want to visualize on your body. The AI will map the clothing onto your photo in a realistic way, allowing you to see how the outfit would look from multiple angles.This innovative technology provides a convenient, immersive way to shop for clothes online and gain confidence in how items will look and fit before purchasing. Virtual try-on is revolutionizing the online shopping experience for fashion.