Step 1
Upload one clear selfie
A front-facing photo with natural light gives the system a stable starting point. The goal is speed: one image, not a complicated onboarding flow.
How It Works
A faster way to picture boutique fashion on yourself.
Ayeena is designed for visual decision-making. It takes a shopper selfie and a boutique's existing product photo, then creates a try-on preview that helps answer the question most product pages leave unresolved: how will this look on me?
Step 2
Pick a real catalog look
Choose the outfit from a boutique's actual product photography, so the preview stays grounded in the real listing rather than a generic generated garment.
Step 3
Review your personal preview
Ayeena blends your face into the boutique image and returns a try-on preview you can compare with the original product shot.
What Ayeena is doing
Personalizing the viewing experience, not replacing product truth.
The boutique image remains the anchor. Ayeena is not trying to invent a new garment from scratch. It is trying to help shoppers interpret an existing catalog image through a more personal lens, which is especially useful when styling and identity drive the purchase.
Boutique flow
A low-friction setup for sellers.
- Use existing product photos as the source image.
- Place a try-on entry point on product detail pages or inside a curated shopping experience.
- Generate a personal preview for the shopper without forcing a boutique to reinvent its catalog workflow.
Ethnic wear•Occasion dressing•Boutique commerce
The strongest use case is where visual confidence matters most.
Ayeena is especially relevant for sarees, lehengas, kurtas, and boutique-led shopping journeys where shoppers are comparing details, styling, and identity cues rather than only basic commodity attributes. That is where a more personal preview can move the decision forward.