LookCheck is an AI virtual try-on and sizing tool for Shopify, WooCommerce, and Salla stores. Let shoppers preview outfits on their own body, cut returns, and…
Category
AI
Pricing
Usage-based (per try-on/credit) plus a one-time setup fee, after a free trial (up to 25 try-ons); no fixed public pricing disclosed — contact Rendream for a quote
LookCheck is an AI-powered virtual try-on and sizing product built by Rendream for online fashion and apparel retailers. Shoppers upload a front/side photo and height, and LookCheck's AI generates a photorealistic preview of how a specific garment will look on their own body, including complex patterns and materials like satin and knit. A companion AI sizing engine estimates fit with an average error of less than 1 inch, and a mix-and-match engine lets shoppers combine tops, bottoms, and accessories into complete outfit previews. LookCheck installs as a native app on Shopify, a plugin for WooCommerce/WordPress, and an integration for Salla, and also offers a developer API for BigCommerce and custom stacks. Processing runs entirely on Rendream's cloud infrastructure rather than the merchant's own servers, and the company states customer photos are used to generate the render and extract measurements without being stored. Beyond standard virtual try-on, LookCheck supports 'unstitched fabric' visualization for bespoke tailors, letting shoppers see how raw fabric will look as a finished garment on their body, and offers an omnichannel AI Smart Mirror for physical retail locations. The company holds ISO 27001:2022 certification and publishes case studies citing double-digit reductions in returns and increases in conversion for DTC apparel, MENA fashion (Salla), and bespoke tailoring merchants.
Key Features
AI Virtual Try-On — Shoppers upload a front and side photo plus their height, and LookCheck's AI generates a photorealistic preview of the selected garment on their own body, including complex patterns and materials like satin and knit.
AI Sizing — Delivers fit and size recommendations claimed to be accurate to within an average error of less than 1 inch, aimed at reducing size-related returns.
Mix-and-Match Outfit Builder — Lets shoppers combine tops, bottoms, and accessories to preview complete outfits on their own body before purchase.
Unstitched Fabric Visualization — Shows shoppers how raw, unstitched fabric will look as a finished garment on their own body — built for bespoke tailors and traditional apparel merchants.
Cloud-Based Processing — Runs entirely on Rendream's own GPU cloud, so rendering doesn't add server load to the merchant's Shopify, WooCommerce, or WordPress hosting environment.
Shopify, WooCommerce, Salla & API Integrations — Installs as a native Shopify app, a WooCommerce/WordPress plugin, and a Salla integration, plus a developer API for BigCommerce and custom/headless stacks.
Omnichannel AI Smart Mirror — Extends the virtual try-on experience to physical retail locations through an AI-powered smart mirror.
Pros & Cons
Pros
Native integrations for Shopify, WooCommerce/WordPress, and Salla, plus a developer API for other stacks
AI sizing claims sub-inch accuracy, which can directly reduce size-related returns
Handles harder visualization cases like unstitched fabric and complex materials (satin, knit), not just simple garment overlays
Cloud-based processing avoids adding load to the merchant's own hosting/server environment
Published case studies with specific before/after metrics (conversion, AOV, return rate) across multiple verticals
Cons
No public, self-serve pricing page — plans and rates require going through signup/trial or contacting the company
Billing appears usage-based (per try-on) with a one-time setup fee, which can be harder to budget for than flat-rate SaaS pricing
Case-study results (e.g. return-rate and conversion gains) are self-reported by Rendream rather than independently verified
Requires shoppers to upload a personal photo, which may create adoption friction for privacy-conscious customers despite the no-storage claim