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True Fit
OptiDress gives fashion brands a virtual fitting room with native size recommendations, so shoppers buy with confidence and return less.

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Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
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Website, pricing, platforms and company facts side by side.
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| Website | optidress.fr | docs.cloud.google.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from France · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


OptiDress is a virtual fitting room for online fashion brands. Store visitors create their 3D digital twin from their physical characteristics, height, weight, body shape, and optional measurements, with no photo upload required. They see garments worn on their own body and receive a size...
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OptiDress - The Only Virtual Fitting Room for Fashion Brands
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As answered by people managing OptiDress.fr and CloudShell.
OptiDress.fr's answer
Three reasons, in order of what they change for a store.
No photo means no lost shoppers. A share of visitors will not photograph themselves at the point of purchase, and every photo-based tool loses them silently.
Fit and appearance in one product. Sizing isn't a second tool to buy and connect it runs on the same profile, per product, with a fit description.
Nothing to build. The OptiDress team handles installation and configuration in under 24 hours, across Shopify, WooCommerce, Magento, PrestaShop, BigCommerce, Wix, Squarespace, Webflow, Shopware, Salesforce and custom builds. No theme rebuild, no new product photography, no development work.
Pricing scales with monthly store traffic rather than render counts, with no commitment which keeps it accessible to independent brands rather than enterprise budgets.
OptiDress.fr's answer
OptiDress was founded in 2026 in Paris by Arthur Renard and Raphaël Zafran.
The starting point was a gap in how virtual try-on had been built. Tools either showed garments on generic models, useful for presentation, useless for fit, or generated an image from a photo the shopper uploaded, which excludes everyone unwilling to photograph themselves and still can't say which size to order. Sizing was sold as a separate product, by separate vendors.
The choice was to build from declared body data instead of images: one profile that drives both what the shopper sees and the size they should order, with no photo at any stage. And to make it accessible to independent brands, not just retailers who can absorb an enterprise contract.
OptiDress.fr's answer
OptiDress is the only virtual fitting room where neither the avatar nor the try-on requires a photo. Shoppers enter their height, weight, body shape and optional measurements, a 3D digital twin is generated from that data alone. Because the system holds real body data rather than an image, the same profile also powers a per-product size recommendation with a fit description, calculated against each garment's real measurements, cut and fabric. Most tools answer how a garment looks; a photo carries no measurements, so they can't tell shoppers which size to order. The avatar is saved on the store for 30 days, so returning shoppers don't start over.
OptiDress.fr's answer
Independent fashion brands and e-commerce retailers selling apparel online, primarily on Shopify. Typically direct-to-consumer brands where the founder or e-commerce lead makes the decision, companies feeling the cost of size-related returns and abandoned carts, but without the budget or team for an enterprise deployment. Currently focused on Western Europe, the UK and the US.
OptiDress.fr's answer
Web-based SaaS. Front-end widget embedded on merchant product pages, back-end services handling avatar generation and size computation. AI-powered garment rendering. Integrations through native apps and plugins across major e-commerce platforms, plus API access for custom builds. EU-hosted.
OptiDress.fr's answer
OptiDress currently works with a selected group of independent fashion brands in Europe. Customer names are not published at this stage.
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