Early access, no waitlist

Your whole wardrobe, from your camera roll.

Clozit finds the garments in photos you already have: mirror shots, nights out, holidays. It cuts each piece out, turns it into a clean product image, and adds it to your wardrobe. Then it builds outfits from what you actually own, and shows you wearing them.

No photographing garments one at a time. JPEG, PNG and HEIC, straight from your phone.

Source photo: Forest walk
One photo in
Olive green coatRust turtleneck sweaterCharcoal trousersPlaid scarfLeather bootsBrown leather backpackKnit beanie hat

all labelled and tagged, automatically

Real output

7 garments out

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. A half-catalogued wardrobe can't style anything, so the app you downloaded for outfits never gets to the outfits.

Getting your clothes in is the whole problem. Clozit solves that one first.

The usual way

  1. 1Find a blank wall.
  2. 2Photograph one garment.
  3. 3Remove the background.
  4. 4Type in the category, the colour, the fabric.
  5. 5Repeat sixty times.
  6. 6Stop at fifteen.

With Clozit

  1. 1Select a few dozen photos you already took.
  2. 2Clozit finds every garment across all of them.
  3. 3Swipe through what it found.
  4. 4Done in one sitting.

Watch it work

One photo in. The whole outfit out.

Seven ordinary photos, from a beach to a snowfield to a mirror selfie, each run through Clozit exactly once. Pick one and see every garment it pulled out, each turned into a clean catalogue shot.

Source photo: Forest walk
Forest walk

7 garments found

Olive green coat

Olive green coat

coat

Rust turtleneck sweater

Rust turtleneck sweater

sweater

Charcoal trousers

Charcoal trousers

trousers

Plaid scarf

Plaid scarf

scarf

Leather boots

Leather boots

boots

Brown leather backpack

Brown leather backpack

bag

Knit beanie hat

Knit beanie hat

hat

Straight from the app, unedited: exactly what would happen to your photos. The seven source photos are AI-generated, from photoai.com.

How it works

Upload, review, wear.

Three steps, and only one of them asks anything of you.

  1. Hand it a pile of photos

    Thirty is a good start, and a hundred is better. Full-length mirror shots are worth the most: one photo can hold a whole outfit. Old holiday and night-out pictures count just as much. JPEG, PNG and HEIC all work, photos are shrunk in your browser before they upload, and duplicates are dropped on arrival.

  2. Swipe through what it found

    Clozit finds each garment in each photo, crops it out and fills in its label, category, colours, pattern, material and formality. You get one card per find: right to keep, left to discard. Anything it got wrong you can fix on the spot, and if it's a piece you already have, you merge the two.

  3. Wear what you own

    Everything you keep gets a clean catalogue shot on white, framed the same way, and lands in a wardrobe you can filter. From there Clozit builds outfits: the ones it found in your photos, and new ones composed the way a stylist would from the same pieces. Add one photo of you and you can try any of them on.

The wardrobe

One clean image per garment.

Every piece gets the same treatment: a white background and the same framing, so the grid reads like a catalogue, not a scrapbook. Here is everything Clozit pulled from the photos above, side by side as two wardrobes.

13 garments from 4 photos

Olive green coat
Olive green coat
Rust turtleneck sweater
Rust turtleneck sweater
Charcoal trousers
Charcoal trousers
Plaid scarf
Plaid scarf
Leather boots
Leather boots
Brown leather backpack
Brown leather backpack
Knit beanie hat
Knit beanie hat
Black long-sleeve crop top
Black long-sleeve crop top
Charcoal mini skirt
Charcoal mini skirt
White sneakers
White sneakers
Black athletic tennis dress
Black athletic tennis dress
White sneakers
White sneakers
Black lace trim slip dress
Black lace trim slip dress

Every garment image on this page is unedited output from Clozit. Nothing here is stock photography or a mockup.

Outfits

Outfits you've worn. Outfits you haven't. Yet.

Pieces that turn up in the same photo were an outfit you actually wore, and Clozit remembers it. New looks are composed the way a stylist works, not a random shuffle, and the outfits you've already worn teach it your taste. Every suggestion also has to pass hard dress rules before you ever see it. And it doesn't just list the result. It shows you wearing it.

  • Colour families, matched undertones
  • Proportion, balanced by fit and length
  • One statement piece per look
  • Texture against texture
  • Dressed for the season
  • Your taste, learned from what you wore
Source photo: Street corner
Worn. One photo, one outfit.

“Street corner”

Black long-sleeve crop topCharcoal mini skirtWhite sneakers

3 pieces kept

Charcoal mini skirt

Charcoal mini skirt

from “Street corner”

Rust turtleneck sweater

Rust turtleneck sweater

from “Forest walk”

Olive green coat

Olive green coat

from “Forest walk”

Leather boots

Leather boots

from “Forest walk”

Try-on photograph of the same person wearing the new outfit
Never worn. Styled by Clozit.

Same person, same wardrobe, stylist logic at work. Her skirt from “Street corner”, rebuilt for autumn around warm rust and olive from a different photo, one statement knit, leather against wool. Then shown on her with a real try-on. Every image is unedited Clozit output.

Virtual try-on

See it on you before you put it on.

Add one photo of yourself and every outfit in Clozit gets a try-on button. Same face, same build, your actual clothes, one tap. No more guessing whether the coat works over that tee.

The model photo: Smart casual
One photo of you
White t-shirt
White t-shirt
Black trousers
Black trousers
Cream long coat
Cream long coat
Grey lace-up boots
Grey lace-up boots

Any outfit in your wardrobe

Try-on photograph: the same person wearing all four garments
You, wearing it

A real try-on from the men's wardrobe above: his own tee and trousers under the coat and boots from “Snow day”. Pieces from two different photos, on one person, before anything left the hanger.

Wishlist

Try it on before you buy it.

Eyeing something in a shop? Bring it into Clozit first and find out whether it earns a place in your wardrobe, before it costs you anything.

  1. Paste a link or drop a screenshot

    Clozit fetches the product photo straight from the shop page. Blocked shop? A screenshot works every time.

  2. It joins the catalogue

    The piece gets the same clean product shot as everything you own, tagged as wishlist so it never lies about being yours.

  3. Styled and tried on, before you pay

    Clozit builds outfits around it from your real wardrobe, and you can see it on you. Buy it, tap once, and it becomes a normal piece.

yourshop.com/products/slip-dress

Fetch
Try-on photograph: the wishlist dress worn with her own sneakers
Not bought yet
Black lace trim slip dress
Black lace trim slip dresswishlist
White sneakers
White sneakersalready hers

Control

Assisted cataloguing, not a black box.

Clozit 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.
No tracking
No analytics, no ad pixels, no third-party trackers. Your wardrobe lives on one server in Germany and stays there.
How the analysis happens
Photos and garment crops are sent to Google's Gemini API, which reads them and creates the product shots. 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.