Google Photos wants to remember what you wore so you don’t have to

Source: Android Authority

TL;DR

• Google is working on a digital closet, called Wardrobe, in the Photos app.
• It could save your outfits from images and let you view them separately.
• The feature might also let you try out these outfits virtually, similar to Google Shopping’s Try‑On feature.

Background

Google has been heavily promoting its AI‑powered Try‑On feature, which lets you visualize how certain outfits would look on you. Although it has been limited to Shopping, Google may extend the feature to the Photos app.

Wardrobe Feature (in testing)

Google is currently testing a new feature, referred to as Wardrobe, in the Photos app. Strings found in version 7.71.0.895417930 of the Google Photos app hint at its functionality.

Wardrobe
See your wardrobe
A digital closet, made from your photos

Based on these strings, the feature would act as a “digital closet,” deriving looks from existing images—whether they are photos of people (including yourself) or images saved from the internet. The Wardrobe option is expected to appear under the Collections tab in the Photos app.

Managing Outfits

Additional strings suggest users will be able to organize and customize their outfit collections.

Organize your outfits
Manage preferences for the Outfits collection

Users will likely have options to:

• Choose which photos are included in the wardrobe.
• Turn the feature on or off if they find it unnecessary.

Potential Capabilities

• Outfit Assembly: An onboarding animation shows separate clothing pieces being combined, implying that Photos may let you mix and match items from different photos.
• Virtual Try‑On: References to the Try‑On feature within Google Photos suggest future integration, allowing you to virtually try on saved outfits.

Availability

As with other experimental features, it is uncertain when—or if—Wardrobe will become a fully functional, publicly available option. We will update when more information emerges.

⚠️ An APK teardown can predict upcoming features based on work‑in‑progress code, but there is no guarantee that predicted features will reach a public release.