Clothing Catalogue Tool Coming to Google Photos Lets Users Mix, Match and Preview Outfits Virtually

An AI-driven wardrobe feature has been added to Google Photos, automatically cataloguing clothing items from users' photo libraries into a browsable digital closet. Users can filter garments by category, assemble outfits on digital moodboards, and preview looks via virtual try-on. Developed with Motorola, the feature rolls out on Android from summer 2026, with iOS to follow.

Long Story, Cut Short
  • Google Photos will use AI to scan users' photo libraries and organise clothing items into a dedicated, browsable digital wardrobe collection.
  • Users can mix and match garments to build outfits, save them to occasion-specific moodboards, and share combinations with friends directly from the app.
  • A virtual try-on tool lets users preview selected outfit combinations on themselves before getting dressed, with Android rollout beginning in June 2026.
The idea of knowing what you own before deciding what to wear has found a digital expression, as artificial intelligence begins reshaping how people engage with their existing wardrobes.
Digital Closet The idea of knowing what you own before deciding what to wear has found a digital expression, as artificial intelligence begins reshaping how people engage with their existing wardrobes. AI-Generated / Reve

An AI-powered wardrobe tool has been introduced in Google Photos, scanning users' existing photo libraries and extracting clothing items into a structured digital closet. The feature enables category browsing, outfit assembly, and virtual try-on previews, and has been launched in partnership with Motorola to help users style their wardrobe and stay inspired, with rollout beginning on Android in June 2026 before expanding to iOS.

  • Clothing items detected across a user's photo library are automatically grouped by category, including tops, bottoms and jewellery, making past wardrobe items browsable and searchable.
  • Users can combine individual pieces into outfits, save them to occasion-specific digital moodboards, and share them with others directly from the Google Photos app.
  • The virtual try-on function allows users to select garments and generate a preview of how a chosen outfit will appear on them before wearing it.
  • Initial rollout is limited to Android users in select regions, with specific eligibility requirements applying to all users.
  • The announcement was made on the Google Blog on 29 April, by Tommy Meaney, Senior Product Manager, Google Photos.

THE ANNOUNCEMENT: The Google Photos Wardrobe feature has been announced jointly by Google and Motorola, tied to the launch of the new Motorola razr family, with Android rollout beginning in June 2026. Motorola, which uses Google Photos as its default gallery app, is the first mobile partner to support the feature. The partnership reflects a long-standing collaboration between the two companies on Android-native photo experiences designed to extend Google Photos beyond storage into lifestyle utility.

  • Motorola has simultaneously introduced a personalised content feed called Daily Drops, which refreshes twice daily and integrates Google Photos Memories alongside calendar overviews and weather updates.
  • Daily Drops marks the first time Google Photos Memories has been embedded in a personalised content feed on a mobile device, according to Motorola.
  • The Wardrobe feature will be available on a range of Android devices, including Motorola handsets, in select regions over the coming months.
  • Google Photos generates clean snapshot images of detected clothing items and accessories from a user's photo library, producing an organised view of the user's closet.

HOW IT WORKS: The Wardrobe feature organises detected clothing into browsable categories, enabling users to filter by item type and rediscover pieces buried in their existing photo libraries. Beyond organisation, the tool introduces interactive styling capabilities, allowing users to assemble new outfit combinations from catalogued items and visualise them before wearing. The feature is designed to function entirely from clothing already photographed, requiring no new content to be created.

  • Users can filter catalogued items by category, including tops, bottoms and jewellery, scrolling through past wardrobe items that may still be buried in their closet.
  • Individual clothing pieces can be combined into complete outfits and saved to digital moodboards organised by occasion, such as summer weddings, travel, or work.
  • Users can create separate moodboards for different occasions, such as a summer wedding, a trip to Italy, or work outfits, keeping looks organised by context.
  • The virtual try-on capability extends Google's existing AI try-on technology, previously available in Google Shopping, Circle to Search, and the discontinued Doppl app.
  • Once an outfit is assembled, users activate the Try It On option to generate a digital preview of how the chosen combination will appear on them before getting dressed.

ROLLOUT AND UNKNOWNS: The Wardrobe feature is confirmed for Android rollout from June 2026, limited initially to users in select regions, with iOS availability to follow later in the year. Eligibility requirements apply: users must be at least 16 years old and must have the face grouping setting enabled within the Google Photos app. Several aspects of the feature remain unconfirmed ahead of the broader release.

  • Neither Google nor Motorola has stated whether the Wardrobe feature will be available free of charge or will require a paid subscription.
  • It remains unclear whether Wardrobe's AI processing operates on-device or in the cloud, and Google has not disclosed which AI models are used.
  • Google has not addressed whether wardrobe data will be used to train its AI models, leaving the privacy implications of the feature unresolved ahead of launch.
  • Motorola's Daily Drops feed has already begun rolling out on select Motorola devices in select countries and will arrive on the new razr family shortly after its launch.
 
 
Dated posted: 4 May 2026 Last modified: 4 May 2026