A Virtual Dressing Room for Your Store Can Run on a Camera, a Photo, or a Video

Virtual dressing rooms for apparel sellers generally take three forms: live augmented reality, still-image try-on, and short try-on video, each serving different product categories and requiring different assets. Google automatically includes eligible brands with shopping feeds and high-quality imagery in its Apparel Try-On feature, while retailers must decide what to add to their own product pages. Live AR uses a shopper’s camera and product-specific 3D models, making it most suitable for rigid items such as eyewear, cosmetics, shoes, and watches, but it may trigger biometric privacy obligations. Still-image systems such as Kling generate a model wearing a garment from product photos and are most useful for basic apparel, though they show appearance rather than guaranteed fit. Atlas Cloud’s Try-on Video workflow creates an on-model video from a garment image, optionally retaining a consistent house model across products through an API, and is positioned for clothing whose movement and drape matter, such as dresses and outerwear. The text advises retailers to distribute clips through product pages and supported marketplace video channels, disclose synthetic performers where required, and test their effect on conversion and return reasons, noting that visual try-on may address “not as pictured” returns while size tools address fit-related returns.

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