Add clothes you own
Take a photo of an item and put it in a category. Add items over time to build a photo wardrobe.
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Velvet Hanger
Keep track of clothes and outfits
A mobile app to organise your clothes, plan outfits and keep a record of what you wear.
Closet
6 piecesTap pieces to make an outfit
Interactive example · sample data
Velvet Hanger combines a photo wardrobe with a record of outfits you wear. Use it to keep clothing photos together and revisit outfits later.
Available on iPhone · iPhoneFrom individual pieces to a whole outfit.
Actual app screens with a sample wardrobe. Open either image to see the details.
Save the full outfit
Record the combination of clothes you wore, along with its context, so you can find it again.
Look back at outfits
Browse your wear history when you want an idea from clothes you already own.
How we built it.
A useful digital wardrobe needs to remember more than an item photo. Velvet Hanger connects clothes, saved plans and the outfits someone actually wore.
Planning and wearing are different records
A planned outfit is not automatically a wear log. Plans can hold a date, garments and a note; an actual log records what was worn. Keeping those records separate lets someone change a future outfit without rewriting their clothing history. If a save fails, the draft stays available so the person can try again.
Dates that follow real life
Wear logs keep the time, the local calendar date and the time zone. Wear counts and last-worn dates are derived from the logs instead of being maintained as separate counters. This keeps the wardrobe history tied to actual entries and avoids treating a date change during travel as a different outfit.
An iPhone app with private media
The app uses Expo, React Native and TypeScript, with a Node.js service and MongoDB. Clothing photos sit in private S3 storage; the server checks ownership before issuing a short-lived media link. A small Swift module handles Apple Vision cutouts.
Built with
- TypeScript
- Expo
- React Native
- Swift
- Apple Vision
- Node.js
- Express
- MongoDB
- Amazon S3
- CloudFront