Top Virtual Try-On Apps Compared: 2025 Edition

Virtual try-on (VTO) apps have changed how we shop online in 2025. From clothes to eyewear, these tools let you see how products look on you before buying. Here's a quick breakdown of the top apps:

• tryonclothes.ai: Perfect for fashion lovers, it uses AI to suggest outfits and lets you mix and match items in a digital wardrobe. Plans start at $9.99/month.
• Aiuta: Offers personalized styling with AI, virtual wardrobes, and outfit scoring. Free to use, but paid upgrades remove limits.
• GlamAR: Best for businesses, it supports clothes, makeup, and jewelry with lifelike 3D visuals. Requires integration.
• Warby Parker Virtual Try-On: Specializes in eyewear, using AR to suggest frames based on your face shape. Free.
• PICTOFiT: Creates precise 3D outfit previews and avatars for online shoppers. Great for brands, but limited to iOS and web.

Quick Comparison

VTO apps are boosting conversion rates (up to 94%) and reducing returns (by 64%). Consumers increasingly prefer AR-enabled shopping, making these tools essential for brands and shoppers alike.

Fashion Tech Talks: Virtual Fitting App Comparison Review

::: @iframe https://www.youtube.com/embed/iLfl2W5AE-Q :::

1. tryonclothes.ai

tryonclothes.ai offers a powerful AI-driven solution for creating realistic outfit visualizations. Its VTO-UNet Diffusion Transformer (VTO-UDiT) technology allows the platform to showcase how garments drape, fold, and stretch across various body types with impressive accuracy.

One standout feature is its inclusive sizing range, accommodating models from XXS to 4XL. This is particularly important since 42% of online shoppers feel underrepresented by traditional model images [4]. Beyond basic fit simulations, the platform excels at rendering intricate details like pleats and prints, thanks to its advanced training methods [5].

These pricing plans combine affordability with advanced features, making the platform accessible to a wide range of users. Shoppers engage actively with the tool, viewing an average of four different model representations per product [5]. Additionally, virtual try-on images boost search visibility, receiving 60% more high-quality views [5].

The platform also includes a digital wardrobe feature that allows users to:

• Upload their existing clothing items
• Experiment with unlimited outfit combinations
• Get AI-powered style suggestions
• Save and organize looks for various occasions

This combination of features makes tryonclothes.ai a practical and interactive tool for online shoppers looking for a personalized and engaging experience.

2. Aiuta – AI Stylist

Aiuta, with a 4.4-star rating from 40.5K reviews on Google Play and over 1 million downloads [7], delivers AI-driven styling tools designed to simplify outfit planning.

The app allows users to virtually try on single or multiple items by uploading photos, transforming mannequin images into lifelike visualizations [8]. This makes it easier to visualize outfits before making decisions.

Here’s a quick look at some of Aiuta’s standout features:

Aiuta goes beyond basic styling by addressing common fashion dilemmas. For instance, 47% of people spend up to eight hours a month choosing work outfits [9]. The app’s AI Stylist tackles this by scoring outfits based on factors like:

• How well items work together
• Whether they align with current trends
• Suitability for the user’s body type and appearance

The app’s impact is clear: it boasts a widget-to-virtual try-on conversion rate of 54% and has generated over 31 million images [6]. By blending personalized styling with wardrobe management, Aiuta stands out in the fashion tech space.

One downside is the introduction of monthly limits on custom try-ons, which now require a paid upgrade [10]. Even so, Aiuta remains highly rated, holding a 4.6-star score on the App Store [10].

3. GlamAR

GlamAR stands out as a leading virtual try-on platform in 2025, offering advanced AR capabilities and broad support for various products. Its neural networks create incredibly lifelike renderings for items like makeup, eyewear, and accessories.

Here’s how GlamAR impacts key business metrics:

These numbers highlight GlamAR’s ability to deliver engaging and effective virtual try-on experiences. Its SDK works seamlessly across platforms, including iOS, Android, Web, Unity, and React. With just 2-3 lines of code, businesses can integrate and publish interactive 3D models effortlessly [12].

"The technology is super precise, as it reflects every detail of the item when transferring it on the buyer." - Pavel Shaburov, Glam Labs CEO [3]

Supported Categories

The platform supports a wide range of product categories, such as:

• Makeup applications
• Eyewear fitting
• Shoe visualization
• Cap and accessory placement
• Watch and jewelry previews

Features

GlamAR offers a variety of features to enhance the shopping experience:

• 360-degree product views
• Zoomable and rotatable 3D images
• Interactive product configurators
• Cross-channel brand integration

Additionally, GlamAR provides ongoing support and maintenance after integration [11]. According to Artillery Intelligence, its immersive AR tools not only increase add-to-cart rates but also lower cart abandonment [11].

With its seamless integration, realistic visuals, and extensive product compatibility, GlamAR continues to redefine the virtual try-on experience.

sbb-itb-0a9285c

4. Warby Parker Virtual Try-On

Warby Parker's virtual try-on feature, powered by Apple's ARKit, allows shoppers to see how frames look on their faces with precise placement. This innovation has reshaped how people shop for eyewear online.

Core Technology Features

The platform uses cutting-edge computer vision to analyze facial features and provide tailored recommendations. Here's what it offers:

These tools make the shopping process smoother and more intuitive.

Shopping Experience

"Shopping for glasses is challenging for most people. It's one of the only products you wear on your face, and slight differences in sizing or shape can have a dramatic effect on whether a frame fits well or not." [13]

The app enhances the buying journey by offering real-time AR frame previews, saving favorite styles, tracking orders, scanning contact lens boxes, and even scheduling eye exams.

Market Impact

Projections indicate that spending on AR and virtual reality will hit $20.4 billion by 2025, with online retail accounting for $558 million of that total [15]. Warby Parker's app not only simplifies eyewear shopping but also manages prescriptions and order tracking.

Additionally, through its purchase-linked donation program, Warby Parker has provided 15 million pairs of glasses to those in need [14].

5. PICTOFiT Virtual Try-On

PICTOFiT combines lifelike visuals with precise fit suggestions, offering shoppers a chance to instantly see how garments look and fit through AI-generated 3D models.

Technology and Features

Performance Metrics

Retailers using PICTOFiT have reported impressive results. Time spent on their websites increased by 441%[17], with shoppers browsing nine times more products compared to traditional methods[16]. Additionally, the platform has contributed to a 5% rise in average order value[17].

These results highlight how PICTOFiT enhances the shopping experience, making it a standout solution in the market.

Industry Recognition

Matthew Drinkwater, Head of Innovation Agency at LCF, praised the platform, stating:

"The PICTOFiT platform consistently created high-quality virtual garments from physical samples in a matter of minutes. It is the state of the art and it will be a game changer for brands and retailers that use it."

• Matthew Drinkwater, Head of Innovation Agency, LCF[16]

HUGO BOSS also shared their positive experience with PICTOFiT:

"PICTOFiT virtual try-on and fitting is fantastic for e-commerce and retail because it allows customers to see how a garment fits on them without having to physically try it on. Not only is this convenient for the online shoppers, but it also reduces the time and effort required by store employees."

• Christopher Barth, Vice President of CRM, HUGO BOSS[16]

Business Impact

The platform has delivered real results for its clients, driving revenue gains of over 70 million euros and increasing shopper spending by six times. By generating 3D models from just five measurements, PICTOFiT tackles sizing challenges in online fashion retail head-on. Its use of computer vision and machine learning ensures a realistic and seamless virtual try-on experience, setting a new standard for online shopping.

App Strengths and Limitations

A review of top virtual try-on (VTO) apps in 2025 highlights how their technical and operational decisions influence shopper satisfaction and engagement.

Comparative Analysis Table

Platform-Specific Insights

Accessibility remains a hurdle for many virtual try-on platforms. Jinder Kang from Netguru points out:

"A poorly orchestrated try-on could actually discourage a consumer instead of helping them make a purchase decision. What I've seen a lot of recently is people trying to utilize these new channels, but not really putting in the know-how and the expertise and the experience design side of things." [18]

This observation underscores the importance of thoughtful design and execution in VTO technology.

Impact on Consumer Behavior

Virtual try-on tools have reshaped online shopping. Brands using AR experiences report a 94% increase in conversion rates [2]. This technology helps bridge the gap between digital and physical shopping, making it easier for customers to visualize products.

Technical Considerations

Despite their benefits, VTO solutions face several challenges:

• Hardware Requirements: Balancing advanced features with compatibility across devices
• Accuracy vs. Speed: Ensuring precise results without slowing performance
• Data Security: Protecting customer data while maintaining transparency
• Integration Complexity: Seamlessly connecting with existing systems

Lilian Rincon, Google's senior director of consumer shopping products, highlights the stakes:

"Our research shows that 55% of online apparel shoppers have returned an item because it looked different on them than expected, and 42% say they don't feel represented by images of models while shopping for clothes." [19]

These challenges emphasize the need for thoughtful implementation to maximize VTO's potential.

Real-World Performance

The results speak for themselves:

• GlamAR achieved a 64% reduction in return rates
• MirrAR boosted online conversions by 160%
• LEVAR saw a 40% increase in conversion rates [1]

These metrics showcase how effective VTO technology can be when executed well.

Final Assessment

Virtual try-on technology continues to make strides in 2025, with each platform catering to specific needs. After reviewing the strengths and limitations of various apps, here’s a breakdown of the top choices for shoppers and brands.

Market Growth and Innovation

The virtual try-on market is on a steep growth trajectory, expected to hit $12.17 billion by 2025 with a 26.9% compound annual growth rate (CAGR) [21]. This growth is fueled by high engagement rates with augmented reality (AR) tools.

Consumer Impact and Future Outlook

Consumer habits are shifting in response to these advancements. Recent data reveals that 61% of shoppers prefer retailers offering AR experiences, while 40% are willing to pay more for products they can try virtually [2]. This growing demand is pushing brands to innovate continuously.

"has revolutionized our e-commerce photoshoots. We've cut our production time in half while maintaining high-quality visuals." - Sarah Chen (@sarahfashion) [20]

Looking ahead, key developments shaping the future of virtual try-on technology include:

• AI-driven personalization for tailored recommendations
• Improved 3D fabric rendering for more realistic visuals
• Greater compatibility across platforms
• Integration of voice commands [21]

A standout example is Walmart's "Be Your Own Model" feature. By using machine learning and advanced fabric draping algorithms, Walmart is setting a new standard for realistic, user-friendly virtual shopping experiences. This highlights the industry's push toward more advanced and accessible solutions.