Adding virtual try-on to your store means choosing between two different features that share one name. Shopper-facing try-on lets a customer upload a photo of themselves and see your garment on their own body. Brand-side try-on puts your garment on a generated model to produce the images on your product page. The first is a privacy compliance project. The second ships this week.
Almost every store owner who asks for “the Zara thing” wants the second one and does not know it yet.
This guide separates the two, states what each actually costs you in legal exposure, and gives you the checklist for the harder path if you decide you need it.
TL;DR
Two features, one name. Shopper-facing try-on takes the customer’s photo. Brand-side try-on takes only your garment photo and a generated model. Only one of them collects a face.
Shopper-facing try-on has a live litigation record. Virtual try-on tools have drawn class actions under Illinois biometric law against Estée Lauder, Louis Vuitton, Christian Dior, Pandora and Wella, and the Seventh Circuit revived one against Gunnar Optiks on 10 July 2026 (courtlistener.com, accessed August 2026).
Illinois damages are $1,000 per negligent violation and $5,000 per reckless or intentional one (740 ILCS 14/20). A 2024 amendment caps repeat collections from the same person as a single violation (faegredrinker.com, accessed August 2026).
EU AI Act Article 50 labelling went live on 2 August 2026. If you publish AI-generated imagery of people to EU shoppers, disclosure obligations now apply (digital-strategy.ec.europa.eu, accessed August 2026).
Brand-side try-on has none of that surface, because no shopper photo is ever collected. In DesignerBox it sits on Premium at $75 a month.
The two things both called virtual try-on
The label covers two features with almost nothing in common except the output looking similar.
| Shopper-facing try-on | Brand-side try-on | |
|---|---|---|
| Who uploads the photo | Your customer | You |
| What the photo is of | A real person’s face and body | Your garment, flat or on a hanger |
| Where it runs | Your app or storefront, live | Your production process, before publish |
| Biometric data collected | Yes, in most implementations | No |
| Consent flow required | Yes, written and specific | No |
| Who sees the output | One shopper, once | Every shopper, on the PDP |
| Time to ship | Weeks, plus counsel | An afternoon |
The business case people quote for try-on is usually about the second one. Better on-model imagery, every SKU, every colourway, no reshoot when merchandising adds a variant. You get that without ever touching a customer’s face.
If what you want is the interactive shopper feature specifically, keep reading. The compliance section is not optional.
What Zara actually shipped
Worth stating precisely, because the secondary coverage of this feature is loose.
Inditex’s FY2025 results describe Zara Try-On as “an AI-based virtual fitting system that allows customers to create a synthetic avatar from their own photos and generate images of that avatar wearing real products.” The filing says it is “currently deployed in 43 markets with over 7 million sessions” since mid-December, “operates exclusively on Zara.com,” and “is being rolled out to the other concepts” (inditex.com, accessed August 2026).
That is the whole verified record. Three things circulating about this feature are not in it:
- Return-rate reduction. Inditex’s FY2025 results publish no returns figure tied to Try-On. Articles citing a double-digit drop are not sourcing it to Inditex. Treat it as unverified.
- A 24% click-through lift at H&M. This number appears across vendor blogs with no primary source behind it. We could not verify it, so we are not repeating it as fact.
- Which vendor built it. Inditex does not name one. Neither should anyone else.
Note also the shape of what Zara built. The customer supplies their own photos, an avatar is generated, and the avatar wears the product. The customer’s likeness is the input. That is the design decision that carries the legal weight, and it is the one you are copying if you copy this feature. Catalogue try-on inverts it, and where the model in a catalogue shot comes from sets a different set of duties.
The legal surface shopper-facing try-on opens
This section is general information, not legal advice. Get counsel before you launch a feature that collects customer photos.
Illinois BIPA is the live one
The Illinois Biometric Information Privacy Act (740 ILCS 14) covers “scans of hand or facial geometry.” It requires three things before collection: written notice, written consent, and a published retention and destruction schedule. It is the only US biometric statute with a private right of action, which is why it drives the litigation.
Virtual try-on has been a named target. Class actions have been filed over try-on tools operated by Estée Lauder, Louis Vuitton, Christian Dior, Pandora and Wella (natlawreview.com, accessed August 2026). On 10 July 2026 the Seventh Circuit vacated the dismissal of Clements v. Gunnar Optiks and sent it back, narrowing the healthcare exemption that eyewear sellers had been relying on (courtlistener.com, accessed August 2026). Eyewear brands that want the fit signal without the consent burden usually get there with brand-side eyewear photography instead, generating worn frames on their own models rather than scanning the shopper.
Damages under section 20 are $1,000 for each negligent violation and $5,000 for each reckless or intentional violation, plus fees and costs. The 2024 amendment, Public Act 103-769, matters to the size of the number: repeated collections from the same person now count as one violation rather than one per scan, and an electronic signature counts as written consent (faegredrinker.com, accessed August 2026).
Texas and Washington are not the same law
Texas CUBI covers records of face geometry, is enforced only by the Attorney General with no private right of action, and carries civil penalties up to $25,000 per violation. It also requires destruction within a reasonable time and no later than one year after the collection purpose expires (texasattorneygeneral.gov, accessed August 2026).
Washington’s My Health My Data Act treats health-linked biometric data as protected consumer health data and does carry a private right of action. Check whether your implementation falls inside it before assuming Washington behaves like Texas.
The EU adds a second layer
Under GDPR, biometric data processed to uniquely identify a person is special category data under Article 9 and needs an Article 9 condition, which in a retail context usually means explicit consent. Separately, EU AI Act Article 50 transparency obligations became applicable on 2 August 2026. Deployers generating deepfake imagery must disclose that the content is artificially generated, in a clear and distinguishable way, at first exposure (digital-strategy.ec.europa.eu, accessed August 2026).
That obligation reaches further than the shopper feature. It is worth reading against any AI-generated person you publish, which is covered in more depth in our guide to putting clothes on a model with AI.
The version with no biometric surface
Brand-side try-on solves the imagery problem and leaves the whole section above untouched, because the only photograph entering the system is one you own.
You upload the garment. You pick or generate a model. You produce the on-model shot, the colourway variants, and the detail crops, then publish them as PDP images the same way you publish any other product photo. No customer uploads anything. No face is collected. There is no consent flow to build, no retention schedule to publish, and no private right of action to sit under.
You still carry two obligations, and they are much lighter:
- Disclose AI-generated imagery where the rules require it. The EU AI Act timing above applies to what you publish, not only to what shoppers generate.
- Hold the product honest. The garment in the image has to be the garment in the box. That is a consumer protection question in every market, and it is also the fastest way to earn returns rather than reduce them.
In DesignerBox this runs through virtual try-on and Outfit to Image, inside Model Studio. Try-on clothes requires the Premium plan at $75 a month, and the commercial licence you need to publish output on a live PDP starts at Pro. Basic at $15 does not include either.
What DesignerBox does not do: it is not an embeddable storefront widget. There is no drop-in component that lets your customers upload their own photos on your PDP. It is a production tool for the imagery you publish. If you need the shopper-facing interactive feature, you need a different category of vendor, and you need the compliance work below.
Which one your store needs
| If this is your problem | Build this |
|---|---|
| Half your SKUs have a flat lay and nothing on a body | Brand-side |
| Merchandising added a colourway after the shoot | Brand-side |
| You have one model and eleven products that need her | Brand-side |
| Your PDP converts badly and the gallery is thin | Brand-side |
| You want a differentiating interactive feature in your app | Shopper-facing |
| You sell fit-sensitive categories and have counsel budget | Shopper-facing |
| Someone told you it cuts returns | Neither, yet. Verify the claim against your own data first |
Sizing is the honest limit on both. Neither approach reads measurements off a photo or knows your garment’s spec, so neither one answers “will this fit.” What they answer is how the colour sits, how the pattern reads, and what the silhouette looks like, which is a different and smaller question than fit. We cover where the research on virtual try-on fit accuracy currently stands separately.
For the imagery path, PDP images that convert covers the shot order, and consistent AI fashion images covers holding one model across a drop.
If you build the shopper-facing version
Run this before launch, with counsel.
- Map every jurisdiction your storefront serves, not the ones you target
- Determine whether your implementation collects a biometric identifier as each statute defines it, in writing, from your vendor
- Build separate written notice and written consent, presented before capture, not buried in the privacy policy
- Publish a retention and destruction schedule with a stated deadline
- Confirm what your vendor retains, for how long, and whether they train on it
- Contract for it: data processing terms, deletion on request, indemnity
- Add the EU AI Act disclosure at first exposure, visible without extra clicks
- Give shoppers a working deletion path and test it
- Decide whether you need Illinois at all. Geofencing it is a real option and a common one
The last line is not a joke. Several retailers exclude Illinois from try-on features specifically. That is a product decision available to you before you spend the compliance budget.
What each path costs
Brand-side is priced like software. DesignerBox Premium is $75 a month with 2,500 credits, and an image operation costs 5 credits. Plan detail is on the pricing page, and our comparison of AI fashion model generators puts fashion-specific vendors side by side on the same basis.
Shopper-facing is priced like a project. The API call is the small line. Counsel, consent flow engineering, retention infrastructure, vendor contracting and ongoing review are the real budget, and they recur. Any vendor telling you the whole thing ships in an afternoon is quoting you the integration and leaving out the compliance.
Both are cheaper than a studio day at $2,000 to $5,000 per shoot. Only one of them can also generate a class action.
FAQ
Does virtual try-on reduce returns?
There is no verified public figure for this. Inditex’s FY2025 results report 7 million Zara Try-On sessions across 43 markets and publish no returns data tied to the feature (inditex.com, accessed August 2026). Vendor blogs citing double-digit reductions are not sourcing them to a retailer’s own reporting. What ASOS, Zalando and Google each did publish, with the scope attached, is set out in does virtual try-on reduce returns. Measure it on your own returns data before you budget against it.
Is virtual try-on legal?
Yes, when it is built with the required disclosures and consent. The risk is not the technology, it is collecting facial geometry without written notice, written consent and a published retention schedule where the law requires them. Brand-side try-on avoids the question by never collecting a customer photo. This is general information, not legal advice.
Does DesignerBox offer a try-on widget for my Shopify store?
No. DesignerBox is a production tool for the imagery you publish, not an embeddable component your shoppers interact with. You generate on-model shots, try-on visuals and variants, then upload them as product images. Try-on clothes requires Premium at $75 a month.
What plan do I need, and can I use the output commercially?
Try-on clothes requires Premium at $75 a month with 2,500 credits. The commercial licence, which you need to publish output on a live PDP or run it as a paid ad, starts on Pro at $35 a month. Free and Basic do not include try-on.
Do I have to label AI-generated product images?
In the EU, AI Act Article 50 transparency obligations became applicable on 2 August 2026 and require deepfake content to be disclosed clearly at first exposure (digital-strategy.ec.europa.eu, accessed August 2026). Rules differ by market and by advertising platform. Check the requirement for each market you sell in rather than applying one policy everywhere.
Can virtual try-on tell my customer their size?
No. Neither shopper-facing nor brand-side try-on extracts measurements from a photograph or reads your garment’s spec sheet. They answer how a colour, pattern and silhouette look. Sizing is a separate problem and needs size charts, fit data or a dedicated sizing tool. Our guide to virtual try-on fit accuracy covers what fit-aware research changes and what it does not.
Sources
- Zara Try-On session count, market count, launch timing, Zara.com deployment and rollout to other Inditex brands: Inditex FY2025 Results (accessed August 2026)
- Virtual try-on BIPA class actions against Estée Lauder, Louis Vuitton, Christian Dior, Pandora and Wella, and the notice, consent and retention requirements: National Law Review (accessed August 2026)
- Clements v. Gunnar Optiks, Seventh Circuit opinion of 10 July 2026 vacating dismissal: CourtListener (accessed August 2026)
- BIPA statutory damages of $1,000 and $5,000, and the 2024 amendment on per-person accrual and electronic consent: Faegre Drinker (accessed August 2026)
- Texas CUBI scope, Attorney General enforcement, $25,000 per violation and the one-year destruction rule: Texas Attorney General (accessed August 2026)
- EU AI Act Article 50 transparency obligations and the 2 August 2026 application date: European Commission (accessed August 2026)
- DesignerBox pricing, credit allocations and feature gating for try-on and the commercial licence: verified against live product configuration, August 2026
Claims about return-rate reductions and click-through lifts attributed to virtual try-on were checked and could not be traced to a primary source, so they are not stated as fact in this article. Legal information here is general and is not legal advice. Requirements vary by jurisdiction and change; consult counsel before launching a feature that collects customer photographs.
