Google has extended its "virtual wardrobe" feature, which is based on AI, to iOS and the Android platform, and has fully opened it up to users in the United States, Brazil, and India. This feature identifies the clothing that users have worn from their past photos, organizing it into a browsable digital wardrobe for easy subsequent filtering and styling.

Support for expanding the market to three regions

This feature was first announced earlier this year, and it was stated at that time that it would be gradually rolled out during the summer. Android users were the first to get access to it in June, and now iOS users have also been included, which means that both of the major mobile platforms in the supported regions have been covered.

From a product positioning perspective, Google aims to transform the scattered outfit photos that are currently in albums into a manageable clothing catalog. Users do not need to manually enter each item one by one; the system will generate corresponding entries based on the clothing depicted in the photos.

Clothing can be filtered by category.

Within the app, users can view identified items by category such as tops, bottoms, accessories, etc., and combine different items to try out new styling ideas. The core approach of Google is to use AI to extract and classify the clothing in the images, and then generate a copy of their personal wardrobe.

This means that Google Photos is moving beyond traditional photo storage and organization tools to develop lifestyle applications based on image understanding. For users, the value of such features lies not only in archiving but also in transforming old photos into information that can be reused.

Synchronize and update image editing tools

In addition to the virtual wardrobe, Google has also updated the Markup tool. The new version includes a brush for obscuring sensitive information such as license plates, offers more precise control over line thickness, and adds a variety of text font options.

On the Android side, a new set of photo filters named “Moods” has been added, which support adding different styles to images, such as 35mm film and 1990s digital camera styles. Overall, this update continues the direction initiated by Google to integrate AI capabilities into the image organization and editing process.