A closet you can search.
Aadornly reads each garment from a photograph and records the details a stylist actually uses. There is no manual tagging step, no import spreadsheet, no rebuilding your closet in an app.
From photograph to structured record
A photograph is only useful if the closet can be queried later. Aadornly extracts the fields a stylist reasons over: garment category, colour family and saturation, fabric family (denim, wool, silk, cotton), silhouette, and dressiness on a five-step scale from athleisure to black-tie.
- Photograph on a hanger, laid flat on a bed, or in a group of five to ten items
- Batch upload up to 40 photographs at a time
- Correct anything the model gets wrong with one tap on the item
Colour, done properly
Colour is where automatic tagging usually gets thin. Aadornly reads each item on two axes: the true colour family (not just the dominant pixel), and a secondary saturation reading so a dusty rose does not get grouped with a hot pink. This is what makes combination discovery accurate later on.
Private by default
Photographs are yours, visible only to your account. They are stored in encrypted object storage, never used to train models across accounts, and never shared or sold to advertisers or brands.
Tops, bottoms, dresses, outerwear, footwear, and accessories - with sub-types like blazer, overshirt, chelsea boot, or silk scarf resolved automatically.
Every detected field can be corrected in a single tap. Corrections improve suggestions for your closet, not for anyone else.
A typical wardrobe of 60 to 120 items is fully digitised in one afternoon of light photography, no cleanup weekend required.
Occasion pieces, seasonal items, and rarely worn heirlooms all stay in the catalogue and get pulled in when the moment fits.