Frequently Asked Questions
The app utilizes a pretrained machine learning model to analyze the uploaded images and then compares the identified items with an external database to find matching brands and similar products. The app then retrieves information such as brand names, prices, and possible purchase locations to provide the user with relevant details about the clothing items in the image.
Steyel cross-references detected items against a live catalog of retailer pricing and stock data, so the price shown reflects current availability rather than a static estimate.
Our vision model recognizes 200+ garment types with 99.2% accuracy, though results can vary with photo quality and lighting.
Yes — matched items link straight to the retailer so you can buy instantly, or save them to a board for later.
No, any photo works — a street style shot, a magazine tear, or your own outfit flat-lay.
Currently Steyel processes one outfit photo per scan to keep detection accuracy high, with support for batch uploads on the roadmap.
