Vizbl Rugs

Let customers see any rug in their room before they buy —
with AR Rugs visualization

Vizbl Rugs is an AR solution for rug retailers, home decor brands and furniture stores. It turns the top-down rug photos you already have into true-scale room previews, so customers can see rugs, runners and carpets on their own floor before they buy.

+44%

Add-to-cart after AR viewing

−38%

Returns from size or color mismatch

100%

Catalog coverage, even for unphotographed SKUs

Non-3D

Launch from existing rugs textures

Personal demo

Get a free demo with your actual products

We'll set it up with rugs from your store — so you see exactly what your shoppers will experience. 20 minutes, no pitch deck.
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Built for rugs, runners & carpets

One tap launches the camera.
Rugs are the easiest category to launch with Vizbl — you don't need 3D models, you need exactly what you already have: a clean top-down product photo.
That gap between "looks good in photos" and "looks right in my living room" is where most returns happen. Vizbl closes it — with AR and AR product visualization that puts your product in the customer's environment before they ever place an order.
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Place it at true scale

No 3D modeling required
Rugs are easy to love in a styled photo and hard to judge in a real room. A 5×8 may look generous on the product page and too small under a sofa. An 8×10 may feel perfect in one layout and too dominant in another.
Vizbl opens another way. One tap launches the camera. The rug appears on the floor — accurate to ±5 mm — anchored under the customer's existing furniture. Customers walk around it, look at it from the doorway, check whether it fits the room.
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Auto-generated from your product photo

One tap launches the camera.
No per-SKU 3D modeling. Upload a clean top-down photo of the rug, set the dimensions, and Vizbl generates the AR experience. Pile texture and sheen are inferred at runtime. Scales from a boutique with 10 SKUs to enterprise catalogs with 10,000+
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Auto-generated from your catalog photos

No 3D modeling required
Vizbl works with the product photos you already have. No 3D modeling required per SKU — upload a flat rug image, set the dimensions, and we generate the AR experience automatically. Whether you have 1 SKU or 10,000, the workflow is the same.

Easy integration
with website builders

Got questions?

What industries benefit most from this solution?
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AR works best when the buyer needs to evaluate size, fit, or appearance before committing — and can't do that from photos alone.
That's most obviously true for furniture, home décor, appliances, and fixtures. But industry matters less than product type. A good rule of thumb: if your store deals with any of these, AR is worth looking at:
- High return rates because products don't match expectations in person
- Products that need to fit a space or be worn on the body
- Variants across color, material, or size that customers need to compare
- Items manufactured at scale with consistent 3D geometry
Why do rug retailers need AR more than ordinary product photos?
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Because rugs are bought as part of a room, not as a small rectangle in a product grid. A photo can show pattern and color, but it cannot show whether an 8×10 anchors the seating area, whether the rust colorway warms the room, or whether the pattern feels too busy at full scale.
Can an AR rug visualizer help increase conversion?
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It can support conversion by reducing the uncertainty that blocks purchase. Shopify reports that merchants adding 3D content see a 40% conversion lift on average, and a Rebecca Minkoff case study found shoppers were 44% more likely to add to cart after interacting with a 3D model. For rugs, the same principle applies: the product page becomes more useful when shoppers can see the item in context.
Can Vizbl help reduce rug returns?
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Vizbl helps reduce the expectation gap before the rug ships. Shoppers can check scale, color direction, pattern density and room fit before committing. Broader AR shopping research reported by Retail Dive found that two-thirds of consumers are less likely to return a product after using an AR feature.
What type of rug assets do we need?
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A clean top-down photo, accurate dimensions and variant data are the best starting point. Higher-quality images create a more premium preview, especially for pattern clarity, pile impression, sheen and edge detail.
Do shoppers need to install an app?
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No. Vizbl is designed as a product-page experience. Shoppers can launch the AR rug preview from a button or link without leaving the purchase flow or downloading a separate app.
Does it work on Shopify and custom stores?
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Vizbl can be integrated into Shopify and custom ecommerce setups. The exact implementation depends on your storefront, catalog structure and product-page template.
Does it work on Shopify and custom stores?
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Most of the technical heavy lifting is already handled on our end — you're not building an AR integration from scratch. Here's what the setup actually looks like:
1. Create a Vizbl account.

2. Upload your 3D model and link it to the right product page. No model yet? We can make one.

3. Configure the features you need — color switching, multi-object view, interaction settings.

4. Upgrade to a paid plan if you need advanced functionality.

After that, the only ongoing task is keeping your 3D models current as your product lineup changes.
Do I need technical expertise to use Vizbl?
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No. Vizbl comes with detailed guides that walk you through the setup, and if you get stuck at any point, we'll help you get it live — whether you're on Shopify or a custom site.
Can we start with a small pilot?
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Yes. The best approach is often to start with bestsellers, premium rugs, high-margin products or SKUs where customers hesitate most because of size, color or room fit. Then scale based on real product-page data.
What data can we learn from AR sessions?
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You can track which rugs shoppers try in AR, which sizes and colorways they compare, how often they launch the visualizer, and where AR engagement appears in the path to purchase. This helps teams improve merchandising, product pages and catalog priorities.

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