We scan the physical shoe, bag or watch into one accurate 3D master. That single asset becomes your interactive product page, AR at true scale, virtual try-on, packshots and video — scanned from the real thing, not generated from photos.
A live mock-up of a shop product page. Switch the device. Tap a colour. Spin it. This is the exact file your shoppers would get — no app, no plug-in, loads in seconds.
Shown: our master asset in a generic shop layout. Colourways are rendered from one scan — no re-shoot.
Nothing about your shop. The viewer is one line of HTML that drops into Shopify, Magento, Shopware, Salesforce or a custom stack — it loads a 1 MB file, not a plug-in.
Four products we scanned from the physical sample. Each QR opens the live viewer in your phone browser — no app, no account. AR and try-on appear only on a phone or tablet; on a desktop you get the 3D viewer.
Knit upper, foam midsole, printed stripes — captured in one session. On your phone: AR icon top right, Virtual Try-on button under the shoe.
Suede, mesh, rubber rand and lacing hardware — the texture detail a photo flattens and a generated model invents. Same AR and try-on controls.
Jacquard grain, saddle-leather trim, metal hardware and the real proportion of the piece. For bags the question is “how big is it really?” — AR answers it at true scale.
The AR button appears only when the page is opened on a phone or tablet.
Open on this device ↗Ripstop weave, webbing, buckles, leather pulls and the woven label — every fastening a shopper would check in a shop, readable on screen. Capacity and proportion are the purchase question for bags; a true-scale twin answers it.
Foot-tracking try-on — the shoe follows your feet in live video — and on-body try-on for eyewear, watches and jewellery run on specialised tracking layers; the demos above use one of them. Your 3D master is what they need. We deliver the asset, the viewer and AR ourselves and plug in the try-on layer that fits your category and traffic, licensed to you, never resold through us. Where try-on earns its place: sneakers, boots, eyewear, watches, jewellery. Where it doesn't yet: soft garments — there we sell content economics, not try-on.
Today every output below is a separate job for a photographer, a retoucher and a video editor — and again for every colourway. From one scan, they are files rendered from the same master.
Master asset — 3D scan (glTF/GLB + USDZ)Scanned in Prague on the 150-camera rig · about 1 MB · real materials, not paintedPackshot picturesAny angle, any background, every colourway — rendered from the scan, not re-shotProduct & marketing picturesLifestyle, campaign and ad visuals — the product is your scan, the scene is built around itProduct video360° turntable and short clips for product pages, social and marketplacesQR code — AR view on mobile & tabletScan it: the product stands in the room at true size. iPhone and Android, no appLink to virtual try-onThe shoe on the shopper’s feet in live video — on a licensed tracking layer we integrate<model-viewer src="your-product.glb" ios-src="your-product.usdz" ar camera-controls> </model-viewer>
Code for your product pageOne snippet for Shopify, Magento, Shopware or a custom shop — and AI-ready geometry for your toolsWith photography it costs exactly what the first one did — because it is a tenth shoot. With a 3D master, geometry stays and only the material changes. Everything above is re-rendered, not re-produced.
Inputs from your own dashboard. The sliders are capped at what independent and customer-published studies actually measured — not at what a vendor deck says.
Results vary by category, traffic and implementation; a peer-reviewed experiment (Plotkina & Saurel, 2019) found a poor try-on scored worse than good photography, and a 2026 paper in the International Journal of Research in Marketing warns that idealised AR previews can raise returns. That is why the pilot comes before the rollout — and why we scan the real product instead of generating it.
Independent experiments at the top, vendor case studies at the bottom, and the studies against us given the same weight as the ones for us.
Giving shoppers fit information increased conversion and order value, and reduced fulfilment costs from returns and multi-size orders.
Gallino & Moreno, Manufacturing & Service Operations Management, 2018 ↗+6.3 %conversion — GANT, 274 products, 13 markets, 400,000+ users over two seasons, 95 % significance, interactive 3D on the product page. The same vendor reports 50 million interactions and up to 80 % longer time on page across ECCO, Arc'teryx, Samsonite and TUMI (March 2026, sample sizes not stated).
GANT test (Fibbl) ↗ · Fibbl, March 2026 ↗8 %of size-related returns prevented across Zalando in 2025 by its fit and measurement tools; virtual-fitting-room pilots cut returns by up to 40 %, with Zalando's own caveat that pilot results are limited. Fit tools, not 3D viewers — but the clearest European number on returns there is.
Zalando Corporate, June 2026 ↗ · Zalando, October 2024 ↗+60 %more high-quality views for virtual try-on imagery than other product images (Google, 2024). In October 2025 Google extended try-on to footwear; Amazon has offered AR shoe try-on since 2022. Scale signals, not conversion numbers.
Google, May 2024 ↗ · Retail Dive, October 2025 ↗ · Amazon, 2022 ↗−29.4 %returns year-over-year at ZACH Footwear after moving to 3D-first product pages — appearance-driven returns stopped, size-driven ones remained. One brand, no control group.
Vendor case study ↗19.3 %of US online purchases were returned in 2025 — 15.8 % of all retail sales, about 850 billion dollars (NRF). In the same report an analyst reminds readers that “AI is not a magic wand”. We agree: the lever is the product shown accurately, not the technology.
CNBC, April 2026 ↗A poor virtual try-on scored worse than good photography of models with similar features (n = 415, 2019). And a 2026 paper describes a “virtual idealization paradox”: AR previews that look better than the product raise returns through elevated expectations. Both argue for the same thing — scan the real product, test before you roll out.
Plotkina & Saurel, Journal of Retailing and Consumer Services, 2019 ↗ · International Journal of Research in Marketing, 2026 ↗Numbers you will see elsewhere and will not find here: “94 % higher conversion with 3D” is a 2020 merchant-reported Shopify figure; “64 % fewer returns with try-on” is a single try-on vendor’s 2021 claim; “56 % of European retailers plan AR investment” has no European source. We checked.
Hover (or tap) a step to see it.
Photogrammetry of the physical sample in our Prague studio — or on site at your warehouse for full collections.
The running shoe inside the 150-camera rigGeometry and colour computed from calibrated imagery. Measured, not modelled.
Retopology, UV unwrapping and physically based materials, so the asset can be recoloured and reused.
Compressed glTF/GLB and USDZ that load in seconds on a phone. Page speed is part of the deliverable.
One approved source of truth for how the product looks — in every channel, owned by you.
The same shoe, as the finished 3D masterWhat you send: a physical sample. No CAD, no technical drawings, no modelling brief. Accuracy comes from the real product — which is also why colour and material match what your customer receives.
If a supplier promises you any of these four, ask for the methodology.
One product of your choice — ideally the one you find hardest to photograph. You ship it, we scan it, you get a live 3D and AR link. No integration, no commitment.
1–2 WEEKSThree to five products through the full pipeline, live on your product pages, measured for six to eight weeks against a control group. You keep the data either way.
4–6 WEEKSA category or your top sellers, priced per product. Colourway variants at a fraction of the first scan. Viewer, AR and analytics as a monthly service from 190 €; try-on priced per category and traffic. The files stay yours.
SEASONALYes — that is the point. Accuracy comes from the real object. For full collections we scan on site at your warehouse.
No. Try-on shows appearance, not fit. If size-driven returns are your main problem, you need sizing technology, and we will say so.
Not if it is built properly. We deliver compressed files that load in seconds on a phone and lazy-load behind the first image. Page speed is part of the acceptance criteria.
The viewer is a single HTML element. It runs on every major platform without an app. Your developer embeds it in an afternoon; we provide the snippet, run hosting, AR and analytics as a monthly service, and the raw files are yours.
Send the sample, or the material swatch. Geometry is reused; only the material is captured. It costs a fraction of the first scan and days, not weeks.
Good — then we are capacity and accuracy, not a replacement. Many brands model in CAD and scan for the hero pieces where real material matters.
A demo scan in one to two weeks from receiving the sample. Production volumes are planned per season, and on-site capture handles hundreds of SKUs per visit.
We scan it, build the master and send back a live 3D + AR link at our cost. Then you decide whether the difference is worth measuring.