اپنا اسٹائل، اپنی پہچان
Kameez and dupatta drape. Hijab kept on. Embroidery preserved. Skin tone never lightened. We built the model for the clothes people here actually wear — then built three products on top of it.
The same idea, three ways
A shopper
Upload one photo, try on any outfit before spending a rupee.
A brand's product page
One script tag puts that same try-on next to your Add to Cart button.
A brand's catalogue
Unstitched cloth becomes a photograph of a model wearing it, stitched.
Shopping for yourself
Upload one photo and see yourself in bridal shararas, everyday lawn, formal anarkalis — anything. Six poses, your own wardrobe, and your photo never leaves your phone.
Try It FreeIf you sell clothes
Studio turns your fabric into catalogue photos on a Pakistani model, with no shoot. The widget adds a “Try It On” button to your own website.
Upload your unstitched fabric and get catalogue-ready photographs of a Pakistani model wearing it — stitched and draped, in the cut you sell. No studio, no shoot day, no model booking. 5 free looks a day.
Try Studio Free
A “Try It On” button on your product page. Your customer uploads a photo, sees herself in the outfit, and buys with fewer doubts. One script tag — Shopify and WooCommerce ready.
See the WidgetWhy it works for Pakistani clothes
Most virtual try-on was trained on Western catalogues: t-shirts, jeans, dresses on a straight silhouette. It doesn't know what a dupatta does, and it lightens skin. Ours was built the other way round.
Falls over the shoulder with real weight, instead of being flattened onto the kameez.
A head covering is preserved, never quietly removed to make the fit easier.
Complexion is preserved exactly. No lightening — the failure we refuse to ship.
Zari, thread work and printed borders survive the transfer, because that's the product.
Common questions
Aaina Dekho is an AI virtual try-on and on-model photography platform built specifically for Pakistani and South Asian fashion. It runs three products on one engine: a free try-on studio where a shopper uploads one photo and sees herself in any outfit, an embeddable try-on widget that fashion brands add to their product pages with a single script tag, and Aaina Dekho Studio, which turns a photo of unstitched fabric into catalogue-ready images of a model wearing it stitched.
Most virtual try-on models were trained on Western catalogues — t-shirts, jeans and dresses on a straight silhouette — so they do not understand what a dupatta does, and they frequently lighten skin tone. Aaina Dekho was built the other way round, for shalwar kameez, lawn suits, kurtis, shararas and lehengas. It preserves dupatta drape as fabric with real weight, keeps a hijab or head covering in place, holds the wearer's exact complexion, and retains zari, thread work and printed borders.
Yes. These are the garments the model was built for. A dupatta falls over the shoulder with real weight rather than being flattened onto the kameez, and a hijab or head covering is preserved rather than quietly removed to make the fit easier. Aaina Dekho handles everyday lawn suits, kurtis, straight and A-line kameez, angrakhas, palazzos, formal anarkalis, shararas and bridal lehengas.
No. Complexion is preserved exactly, and skin-tone lightening is the single failure Aaina Dekho treats as unshippable. Many general-purpose virtual try-on models lighten South Asian skin tones as a side effect of their training data; Aaina Dekho's prompts and model selection are engineered specifically to prevent it.
Yes. In the try-on studio, tap Upload under Your own outfit and add a photo of the suit. A screenshot of the product page from Khaadi, Sana Safinaz, Gul Ahmed or any other store works. Aaina Dekho puts that outfit on your own photo, dupatta included, and you can turn through six poses. A clear, front-facing product photo that shows the whole suit gives the best result.
All three products are free while Aaina Dekho is in beta. The shopper try-on studio requires no sign-up, no account and no credit card. The try-on widget and Aaina Dekho Studio are free during the beta period, and any brand using them will be given notice before that changes.