Digital Wardrobe

Most wardrobe apps are a shop with a closet attached: log what you own, and they’ll suggest what to buy next. And most virtual try-ons show the clothes on a model who looks nothing like you.

Digital Wardrobe bets on the opposite. Photograph your clothes once, and it turns each piece into a clean cutout you can build outfits from, shows you how those outfits look on your own body, and keeps the numbers that argue against buying more.

The Digital Wardrobe landing page: photograph your clothes, compose outfits, see them on you
Your wardrobe, in your pocket

One photo is enough

Lay a few pieces out and take a single photo. Each garment is detected, cropped and cut out on its own, then waits in a review step before it lands in your closet, so nothing is filed without you seeing it. Every piece comes with its category, colours and tags, and you can search, filter and sort by any of them.

The closet in Digital Wardrobe, with every piece cut out and how often it has been worn
The closet, with what you haven't worn in a while

Outfits, without getting changed

  • A canvas for outfits. Drag your pieces onto a board, resize, rotate and layer them, and undo whatever you didn’t mean.
  • Today. A suggestion for the day, put together from your own closet and the weather outside. Don’t like it? Shuffle.
  • A week ahead. Plan outfits for the week, then tick off what you actually wore.

See it on you

Try-on renders an outfit on a photo of you: your real body, unretouched, rather than a model’s. It works for things you don’t own yet, too: paste a link from a shop and see the piece on you before you buy it.

Every proposal goes through a rules engine before you see it, so a suggested look is one that actually works, not just a plausible-looking picture.

Wear what you own

The insights are the point. Cost per wear, the pieces you’ve never worn, how much of your closet you actually use: before you buy something new, the app nudges you to rediscover what’s already there.

Under the hood

It’s a Next.js app on Supabase, with OpenAI for detecting garments and rendering try-ons. Every model call is logged and counted against a monthly budget before it runs, and you can bring your own OpenAI key instead. It installs as a PWA, works offline for browsing your closet, comes in English and French, and has iOS and Android apps on the way.