Virtual try-on promises to close the gap between scrolling through a product page and knowing whether something will actually suit you. Three tools — Aiuta, Veesual and Zyler — each approach that promise differently, and the differences matter depending on what you care about most: seeing yourself specifically, seeing a range of bodies, or getting a size recommendation alongside the visual. This comparison looks at all three honestly, without declaring a single winner.
Key takeaways
- Aiuta lets you upload your own photo and see a garment placed on your actual image, and is already deployed across tens of thousands of products at major retailers.
- Veesual focuses on animating static product images into short videos at scale, giving shoppers a sense of movement and drape rather than a personalised fit view.
- Zyler builds a size recommendation into its try-on flow, so the visual and the sizing guidance arrive together.
- Data privacy is an active legal conversation across the virtual try-on category, and each tool handles your image differently — worth checking before you upload.
- None of the three tools eliminates the need for a thoughtful returns policy, but they each reduce a different kind of uncertainty.
What does each tool actually do?
Before comparing them feature by feature, it helps to understand what each one is built around, because they are solving slightly different versions of the same problem.
Aiuta
Aiuta is an AI-powered virtual try-on platform that fashion retailers embed into their own apps and websites. As a shopper, you either upload a photo of yourself or use an AI-generated model, and the tool places the selected garment onto that image. The result is a composite that shows the item on a body — yours or a generated one — rather than on a flat lay or a single editorial model.
Aiuta works at significant scale: it is deployed across roughly 10,000 products on the ASOS iOS app, which gives a sense of how the technology performs under real retail conditions rather than just in a controlled demo environment.
Best for: shoppers who want to see a garment on their own photo, and who shop at retailers that have already integrated the tool.
Limits: you are dependent on the retailer having chosen Aiuta. The quality of the composite depends on lighting in your photo and the complexity of the garment.
Veesual
Veesual takes a different angle. Rather than placing a garment on your photo, it automatically converts a brand's static product images into short videos, working directly from the product feed with no manual editing required. As a shopper, what you see is the product in motion — how fabric moves, how a hem falls, how a sleeve behaves — rather than a personalised view of the item on your body.
This is a meaningful distinction. Veesual is primarily a tool for brands to enrich their product pages at scale; the benefit to you as a shopper is a richer visual than a single still photograph, not a personalised fitting experience.
Best for: shoppers who want to understand drape, movement and fabric weight before buying, and who find static images insufficient.
Limits: it does not show the garment on your body or generate a size recommendation. It is a visual enrichment tool rather than a personalised try-on.
Zyler
Zyler offers a virtual try-on experience that pairs the visual with sizing guidance. You input your measurements and body shape details, and Zyler generates a virtual model that reflects your proportions, then shows you how a garment fits that model. The size recommendation and the visual arrive together, which is useful if you are caught between two sizes or unsure how a cut will work on your shape.
Best for: shoppers who want a size recommendation alongside the visual, particularly for fit-sensitive categories like tailoring, knitwear and structured dresses.
Limits: the model is generated from your measurements rather than your actual photo, so the result is an approximation rather than a precise reflection of your appearance.
Feature-by-feature comparison
| Aiuta | Veesual | Zyler | |
|---|---|---|---|
| What it is | AI try-on embedded in retailer apps and sites | Automated product video generation from static images | Measurement-based virtual model with size recommendation |
| Best for | Seeing a garment on your own photo | Understanding fabric movement and drape | Getting a size recommendation alongside a visual fit view |
| Your photo used? | Yes, optionally | No | No — measurements only |
| Personalised to your body? | Yes (photo-based) | No | Approximate (measurement-based model) |
| Size guidance included? | Not inherently | No | Yes |
| Where you access it | Inside retailer apps and sites that have integrated Aiuta | On brand product pages that use Veesual | On retailer sites that have integrated Zyler |
| Main limit | Retailer must have adopted it; photo quality matters | No personalisation; no sizing | Model is an approximation, not your actual image |
How does each tool handle body representation?
This is where the three tools diverge most clearly.
Aiuta places the garment on your uploaded photo, which means the body in the image is yours — your skin tone, your proportions, your posture. That is the most direct form of representation possible, and it sidesteps the question of whether a brand's model range reflects your body, because the model is you. The trade-off is that you have to be comfortable uploading a photo to a retailer's platform.
Veesual does not use your body at all. The video it generates shows the garment on the model or mannequin already used in the brand's product photography. If that photography already reflects a range of bodies, Veesual carries that through into video. If it does not, Veesual does not change it.
Zyler generates a virtual model from your measurements, so the proportions should reflect your shape even if the rendered figure is not a photograph of you. This can be reassuring for shoppers who want to see how a waist seam or a trouser break will land on their specific frame, without uploading a personal image.
What about data privacy?
This is a question worth taking seriously. Uploading a photo of yourself to a retail platform is a different kind of data transaction than entering your email address. In the United States, biometric privacy laws — which in some states cover face geometry and body scans — have already generated legal scrutiny of virtual try-on features, as Bloomberg Law has reported. The legal landscape varies by country and continues to develop.
Practically, this means it is worth reading the privacy policy of any retailer whose try-on feature you use, not just the tool provider's own terms. Questions worth asking: is your photo stored after the session, is it used to train the model, and is it shared with third parties? None of the three tools discussed here answers those questions identically, and the retailer's own data practices layer on top of the tool provider's.
Zyler and Veesual do not ask for a photo of you, which removes that particular concern. Aiuta's photo-based approach is the most personalised but also the one that warrants the most attention to the privacy terms of whichever retailer has integrated it.
How accurate is the garment rendering?
Garment accuracy — whether the fabric texture, colour and silhouette in the try-on image match what you will receive — is the hardest thing for any of these tools to guarantee, and it is worth being honest about the limits.
Aiuta's compositing places a product image onto your photo. The result depends on the quality of the product photography the retailer provides, the lighting in your own photo, and how complex the garment is. A plain white shirt will composite more cleanly than a heavily textured knit or a garment with intricate drape.
Veesual's video output is derived from the existing product photography, so the colour and texture accuracy is as good as the original images. What it adds is movement — which genuinely helps with fabrics that behave differently in motion than they appear in a still.
Zyler's rendering is a simulation based on your measurements and the garment's listed specifications. It is useful for understanding fit and silhouette, but the fabric rendering is illustrative rather than photorealistic.
Our experience, and what shoppers who use these tools consistently report, is that virtual try-on is most reliable for silhouette and proportion, and least reliable for precise colour matching and fine texture. It is a useful complement to a good returns policy, not a replacement for it.
Who is each tool for?
Choose Aiuta if you want the most personalised experience — seeing the actual garment on a photo of yourself — and you shop at retailers that have integrated it. It suits shoppers who are comfortable uploading a photo and who want to reduce the uncertainty of buying something that looks very different on a model than it might on them.
Choose Veesual if your main frustration with online shopping is that still images do not tell you how a fabric moves or how a silhouette behaves when you walk. It is less about personalisation and more about richer product information. It also suits shoppers who prefer not to upload any personal image.
Choose Zyler if sizing is your primary concern. If you regularly fall between sizes, or if you are shopping for structured pieces where fit is precise, the combination of a measurement-based model and a size recommendation in one place is genuinely useful. It also suits shoppers who want a body-proportionate view without submitting a photograph.
For a broader look at how AI image tools are changing the way shoppers plan purchases before clicking 'buy', our guide to using AI image tools to plan outfits before buying covers the wider category. And if you want to see how these three sit within a larger field of try-on options, our side-by-side look at four virtual try-on tools for shoppers adds further context.
FAQ
Can I use these virtual try-on tools on any retailer's website? No. Each tool is integrated by individual retailers, so availability depends on which brands have adopted which platform. Aiuta is live on ASOS, for example; other retailers have chosen Zyler or Veesual. Check the retailer's product page for a try-on option.
Do virtual try-on tools store my photo? It depends on the tool and the retailer. Veesual and Zyler do not require a photo. For photo-based tools like Aiuta, the retailer's privacy policy governs how your image is handled — it is worth reading before you upload.
How accurate are virtual try-on results for colour? Colour rendering is the area where these tools are most variable. Screen calibration, product photography lighting and the tool's rendering method all affect what you see. Treat colour in a try-on image as a guide, not a guarantee.
Are virtual try-on tools useful for all clothing categories? They work best for tops, dresses and outerwear where silhouette is the main question. Fit-sensitive categories like tailored trousers and structured jackets benefit most from measurement-based tools like Zyler. Accessories and footwear are a different challenge that these tools address less reliably.
Will virtual try-on replace returns? In our experience, these tools reduce a specific kind of uncertainty — 'will this silhouette suit me?' — but they do not eliminate returns, because fabric feel, precise colour and construction quality still require the physical garment. Think of them as better information, not a perfect substitute for trying something on.
Further reading
- As Virtual Try-On Fashion Technology Grows, So Do Legal Risks — Bloomberg Law