In 1995, Cher Horowitz’s touchscreen closet in *Clueless* felt like a fantasy—a rotating carousel of outfits, a “Dress Me” button, and a virtual self to model the results. Nearly three decades later, Google Photos has turned that silver-screen gimmick into a practical tool for anyone with a camera roll full of selfies. The new Wardrobe feature, announced by senior product manager Tommy Meaney, scans your photo library, identifies garments—from silk camisoles to leather boots—and organizes them into categories: tops, bottoms, dresses, accessories. You can mix a vintage lace bralette with high-waisted trousers, tap “Try it on,” and watch a digital avatar preview the combo. No purchases required; it’s your own archive, searchable and remixable.
This isn’t the first time technology has intersected with lingerie and fashion history. In the 1920s, the introduction of the brassiere was accompanied by fitting guides and illustrated catalogs that allowed women to “try on” styles at home. Google’s feature echoes that spirit of personal curation, but with AI doing the heavy lifting. The system works best with well-lit, full-body shots—think of a crisp photograph of a corseted silhouette or a minimalist slip dress. Blurry party snaps may trip it up, but Google promises refinements in pattern recognition and body modeling over time.
The rollout begins on Android this summer, with iOS to follow. Privacy concerns linger: Google extracts clothing data and builds body scans, though it insists this data stays within the feature and is not used for ad targeting. As *Forbes* noted, your photo library is evolving from a memory keeper into a shopping database—a quantified style history. For the lingerie enthusiast, it means finally rediscovering that hand-embroidered chemise buried in last year’s beach vacation shots. The closet, once a physical armoire of drawers and hangers, now lives in the cloud. Cher would approve.
Originally reported by Webpronews