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Google Photos can now help you build outfits using items you already own

Confirmed

Technology Desk

In Short: Google Photos is rolling out a new virtual wardrobe tool that uses your past photos to identify and recommend outfits, helping you style your wardrobe without spending hours deciding what to wear.

Your device is low on storage - Google Photos notification (October 2020)
Photo: Alphabet, Inc. (Google). / Wikimedia Commons (Public domain)

The virtual wardrobe feature, which was first spotted under development in April, is now being rolled out to a wider audience. According to Droid Life, the tool will use your past pictures to identify clothing items and create a "virtual wardrobe" of all those items, allowing you to build outfits from them.

Google Photos within Gemini Spark is starting its rollout to Google AI Pro and Ultra subscribers in the US, with the feature expected to arrive over the next few weeks. "This is a huge new connection for Spark because it will allow you to request Google Photos-related tasks that might otherwise take you hours and hours to complete," noted a Droid Life report.

In addition to the virtual wardrobe tool, Gemini Spark now supports Google Photos, enabling the AI agent to handle a variety of photo tasks from a single prompt. Users can search their Google Photos library for specific photos and videos based on the subject, location, date, or event, and even filter out duplicate photos.

To set up the virtual wardrobe tool, users need to ensure Google Photos is toggled ON in the Connected Apps within Spark. The feature is rolling out gradually to eligible subscribers, with more users expected to see it in the coming weeks.

While the primary focus is on outfit recommendations, the virtual wardrobe tool also offers other photo management features, such as creating collages or videos, stylizing pictures, and generating summaries of events. "Google Photos within Gemini Spark is a powerful tool that can help you manage and enhance your photo library in ways you might not have thought possible," said a TechCrunch report.

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