Compare Doppl vs. Spequlo in 2026

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Description

Doppl is an innovative experimental application developed by Google Labs that allows users to experiment with various styles by either uploading a full-body photograph or choosing from an AI-generated model. This app enables virtual fittings of different clothing items, including tops, bottoms, and dresses sourced from users' saved images on social media or camera roll screenshots, while also incorporating dynamic video animations to enhance the user experience. It provides a step-by-step setup process and offers recommendations for achieving optimal photo quality to ensure accurate style representation, emphasizing the need for high-resolution, full-body, form-fitting images captured in bright, uniform lighting. Additionally, the app includes helpful suggestions for capturing the best outfit photos. The outputs generated may include subtle digital watermarks and can sometimes feature inaccuracies regarding fit, body shape, or garment specifics, without guaranteeing size availability or fit recommendations. Users have the capability to download or share both static and animated styles, as well as manage their Looks gallery by deleting items and providing feedback through the in-app menu. In cases where outfit images are either incomplete or not supported, Doppl creatively fills in the missing pieces or defaults to a basic look, allowing for a seamless user experience. Overall, this app opens up new avenues for personal expression and fashion exploration.

Description

Spequlo serves as an innovative virtual try-on solution specifically designed for fashion retailers. By allowing customers to upload a single full-body image, the platform showcases various garments on the user’s body directly on the product page, enabling them to assess fit, color, and silhouette prior to making a purchase. Brands can seamlessly integrate this technology using a simple script tag or the Shopify application, relying on existing product images without the need for 3D models or reshoots. The platform is compatible with Shopify, WooCommerce, BigCommerce, Magento, as well as custom online stores. Additionally, Spequlo enhances the shopping experience by analyzing the brand's size chart to provide localized fit recommendations and tracks each virtual fitting against actual purchase data, allowing brands to evaluate effectiveness through a random session holdout rather than conventional before-and-after assessments. Developed in Toronto, this tool is particularly beneficial in the womenswear market where fit is a critical factor, catering to categories like dresses, occasion wear, fitted tops, and structured knitwear. Furthermore, Spequlo offers a complimentary iOS app for consumers, enabling them to curate a personal wardrobe and virtually try on items from any retailer. This dual approach enriches both the shopping experience and the retailers' understanding of customer preferences.