IMG_4665.HEIC
A cap, a navy chore jacket and a white tee, worn together on 17 July.
- navy chore jacket
- white t-shirt
- black baseball cap
Early access — open, no waitlist
Your whole wardrobe, from your camera roll.
Clozit reads the garments straight out of photos you already have — mirror shots, nights out, holidays. It cuts each piece out, renders it as a clean product image, and catalogues it. Then it builds outfits from what you genuinely own.
No photographing garments one at a time. JPEG, PNG and HEIC, straight from your phone.
Real output
26 garments from 12 photos
The problem
Wardrobe apps die at the cataloguing step.
Every other digital wardrobe starts you at the same wall: photograph each garment against a blank background, cut it out, tag it, repeat. It's fine for the first ten pieces. Somewhere around fifteen it becomes a chore you quietly stop doing — and a half-catalogued wardrobe can't style anything, so the app you downloaded for outfits never gets to the outfits.
Ingestion is the whole problem. Clozit solves that one first.
The usual way
- 1Find a blank wall.
- 2Photograph one garment.
- 3Remove the background.
- 4Type in the category, the colour, the fabric.
- 5Repeat sixty times.
- 6Stop at fifteen.
With Clozit
- 1Select a few dozen photos you already took.
- 2Clozit finds every garment across all of them.
- 3Swipe through what it found.
- 4Done in one sitting.
How it works
Upload, review, wear.
Three steps, and only one of them asks anything of you.
- 01
Hand it a pile of photos
Thirty is a good start; a hundred is better. Full-length mirror shots earn their keep — one photo can carry an entire outfit. Old holiday and night-out pictures count just as much. JPEG, PNG and HEIC all work, images are downscaled in the browser before they upload, and duplicates are dropped on arrival.
- 02
Swipe through what it found
Clozit locates each garment in each photo, crops it out and reads its label, category, colours, pattern, material and formality. You get one card per find: right to keep, left to discard, up to correct anything it got wrong — or mark it as a piece you already have and merge the two.
- 03
Wear what you own
Everything you kept is rendered as a clean catalogue shot on white, framed identically, and lands in a wardrobe you can filter. From there Clozit builds outfits — the ones it found in your photos, and new ones assembled from the same pieces.
Watch it work
One photo in. The whole outfit out.
Seven ordinary photos — a beach, a snowfield, a mirror selfie — each run through Clozit exactly once. Pick one and see every garment it pulled out: located in the photo, cropped, read, and re-rendered as a clean catalogue shot.
7 garments found
Olive green coat
coat
Rust turtleneck sweater
sweater
Charcoal trousers
trousers
Plaid scarf
scarf
Leather boots
boots
Brown leather backpack
bag
Knit beanie hat
hat
Unedited pipeline output — the same detection, cropping and rendering the app runs on your photos. The seven source photos are AI-generated, from photoai.com.
The wardrobe
One clean image per garment.
Clozit builds each product shot from every crop it holds of that piece, so something you wear often renders truer than something it saw once. Backgrounds are snapped to the same white and every garment is framed to the same proportion — the grid reads like a catalogue, not a scrapbook.
26 garments
out of 12 ordinary photos
Every image on this page is unedited output from a single run of Clozit. Nothing here is stock photography or a mockup.
Outfits
Outfits you've already worn — and ones you haven't.
When several garments turn up in the same photo, that was an outfit you actually wore. Clozit reconstructs those out of your own history, then uses them as a taste prior for new combinations from the same wardrobe. Suggestions are checked against real rules before you see them — one top and one bottom or a dress, at most one jacket, one pair of shoes, two accessories.
Reconstructed from your photos
Named after the photo they came out of. These pieces were worn together.
IMG_3342.HEIC
Brown quarter-zip, dark navy jeans, white sneakers.
- brown quarter-zip sweater
- dark navy jeans
- white sneakers
IMG_5771.HEIC
Dark brown sweater over dark blue jeans, backpack on.
- dark brown sweater
- dark blue jeans
- black backpack
IMG_2793.jpg
White tee, black shorts, flip flops — all three in one shot.
- white t-shirt
- black shorts
- white and black flip flops
Suggested from what you own
New pairings from the same 26 garments, each with the reason it was put together.
Crisp navy chore jacket and olive trousers
The clean white tee and white sneakers form a crisp neutral base that highlights the subtle utility contrast between the navy chore jacket and olive trousers.
- navy chore jacket
- white t-shirt
- olive green trousers
- white sneakers
Striped knit with dark denim
The striped nautical sweater pairs effortlessly with dark navy jeans and a baseball cap for a classic, casual aesthetic.
- striped sweater
- dark navy jeans
- white sneakers
- black baseball cap
Layered leather vest and cream knit
Combining a cream sweater with a dark leather vest creates rich textural contrast above earthy olive trousers.
- black leather vest
- cream long-sleeve sweater
- olive green trousers
- white sneakers
Dark brown sweater with hooded shell
Rich brown sweater tones paired with deep blue denim and a technical shell make for a grounded, functional cool-weather look.
- black hooded jacket
- dark brown sweater
- dark blue jeans
- white sneakers
Control
Assisted cataloguing, not a black box.
The machine does the tedious part. You keep the final say on every single garment that ends up in your wardrobe.
Keep or discard
Every detection is a card you decide on. Nothing joins your wardrobe without a swipe.
Fix the details
Label, category, colours, pattern, material, formality — all editable before you keep a piece, and after.
Merge duplicates
Same jumper in four photos? Clozit offers the items it might already be, and merges instead of duplicating.
Trace it back
Open any garment to see the crops it was built from and the original photos it turned up in.
Privacy
Your photos stay yours.
Clozit asks for pictures of you, so it owes you a straight answer about what happens to them.
- One purpose
- Your uploads exist to build your wardrobe. They are not sold, shared, or shown to anyone else.
- Smaller before it leaves
- Photos are resized in your browser before upload. Clozit never needs the full-resolution original.
- How the analysis happens
- Photos and garment crops are sent to Google's Gemini API to be read and rendered. Nothing you upload is used to train Clozit.
- Yours to remove
- Delete a garment and it's gone from your wardrobe. Nothing is kept around that you didn't keep.
Early access
Clozit is early. That's the honest pitch.
It's a new project, still finding its edges. Everything on this page is real output from the app as it works today — no mockups, no roadmap items dressed up as features, and no numbers it hasn't earned. There's no waitlist and nothing to sign up for.
Open it, point it at your camera roll, and see what it finds.