Describe it, and it's in
Describe the cut, the colour, and the fabric in as much detail as you like. Say it out loud, type it, or paste a whole list. Each line in the list hangs as its own piece.
Voice · text · photos · receipts
Know what you own. Wear more of it.
Add garments using voice, text, receipts or everyday photos. We’re preparing a tester build for batches of up to 100 garments. A single photo can include up to nine pieces. Each garment becomes a clean render in your private closet, ready for outfit planning. No perfect photos required, and nothing is shared unless you choose.
Product · working iOS MVP
Closetarium Technologies Inc. builds privacy-first wardrobe software for iPhone users. The app is for people who want to wear and style the clothes they already own but find cataloguing a real wardrobe too slow, especially when they have a full closet, imperfect photos, or no time to enter every piece one by one.
No matter how a piece arrives, it hangs the same way: as a clean, dimensional render that reflects how the garment looks when worn. There is no model, mannequin, or flat clip-art stand-in. Each render comes from Closetarium’s illustrated catalogue or is created by AI from your photo. The quick snapshot was only ever raw material.
Describe the cut, the colour, and the fabric in as much detail as you like. Say it out loud, type it, or paste a whole list. Each line in the list hangs as its own piece.
Use one photo, a camera-roll batch, pieces laid side by side, or a picture of yourself wearing the outfit. Just keep each piece visible. Before AI sees the photo, your phone removes its location and camera details and crops out the head of each person it detects, helping keep faces out of view. Detection is automatic and can occasionally miss someone. The result is a clean garment render without you or the original background.
Point the camera at a receipt, and your phone reads the item lines. The receipt is never uploaded. Confirm each item, and it’s hung in your closet.
You decide how far it travels
Where every closet starts.
Share a closet with people you actually know. You pick which pieces they see.
Open a public closet and share your outfits and inspiration. Only what you opt in to show will ever be public.
And when you want more
Put pieces together on a clean canvas, save the looks you love, and let Closetarium suggest pairings from what's already hanging. Rediscover what you forgot you owned.
Discover items that complement what you already own. Shopping links may earn Closetarium a commission. Any affiliate links will always be clearly disclosed and kept outside your closet.
Further out: pick a garment you own and see real outfits from across Closetarium built around the same piece or a similar one. Then shop for pieces that complete the look, from budget-friendly options to premium ones.
Company
Closetarium Technologies Inc. is a consumer software company, not a consultancy, agency, personal blog, or development shop.
Founder & President · product and company lead
Julie has been curious about computers since childhood. Her father taught computing, and as a teenager she learned by taking computers apart and building web pages in HTML. As a mom, she creates apps and programs that simplify everyday tasks at home, including budgeting, scheduling, and organizing. Closetarium grew from one of those projects—an effort to create the simple, private digital closet she wanted through AI-assisted development, without ads or pressure to shop. Inspired by her daughter, she is now developing consent-based sharing that lets invited friends answer outfit questions or respond to polls.
View Julie Tosh on LinkedInWider access coming