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    Google Photos Introduces AI ‘Wardrobe’ Feature Inspired by Clueless

    Google Photos Introduces AI ‘Wardrobe’ Feature Inspired by Clueless

    The upcoming feature will use AI to turn users’ photo libraries into a digital closet, enabling outfit creation and curation, organisation and virtual try-ons.

    Google Photos Introduces AI ‘Wardrobe’ Feature Inspired by Clueless
    Prachi Pradhan··Updated OCTOBER 19, 2026, 8:27 PM
    5 min

    Google is planning to introduce an AI-powered ‘Wardrobe’ feature to Google Photos, aiming to transform users’ photo libraries into a personalised digital closet.

    The feature uses AI to scan images, and identify clothing and accessories worn by users. It then creates a structured wardrobe within the app where items can be sorted into categories such as tops, bottoms, and jewellery.

    From there, users can mix and match pieces to create new outfits directly within the platform. These combinations can be saved and organised into mood boards for different occasions, or shared with others.

    The feature also includes a virtual try-on capability, allowing users to preview how selected outfits might look in reality. The concept draws inspiration from the iconic digital wardrobe seen in the film ‘Clueless’, where the main character could browse and plan outfits using a computerised closet.

    The company says AI will automatically generate a wardrobe from existing photos, though results may depend on the quality and type of images in a user’s library. Well-lit, full-body images are expected to deliver better accuracy.

    While the feature is not live yet, it is expected to roll out first on Android later this summer, followed by iOS, where it will be available under the ‘Collections’ section.

    With this move, Google enters a space already occupied by fashion-focused apps such as digital wardrobe planners and styling tools. The company is positioning AI as a way to make outfit planning more accessible, allowing users to organise and experiment with their clothing without needing separate platforms.

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