Indian-fashion context
The workflow explicitly describes saree borders, embroidery, motifs, drape, and matching visible elements.
Create an AI saree try-on preview from a person photograph and saree product reference, or integrate saree try-on into an Indian fashion store.

AI virtual try-on can create a saree appearance preview when the person and product images are clear and the saree reference shows its visible colour, pattern, border, drape details, and matching elements. TryRobe treats a saree as a complete wearable look by default and aims to preserve the person's identity and original scene.
Sarees are visually complex: borders, pallu details, pleats, blouse pairing, embroidery, print continuity, and drape can all affect generation. A clean catalog reference and visible full-body or relevant three-quarter person photo usually provide better context than a cropped or heavily occluded image.
The workflow explicitly describes saree borders, embroidery, motifs, drape, and matching visible elements.
Try a saree privately or integrate the Business API into an Indian fashion ecommerce experience.
Use the preview together with real product photography, fabric details, blouse information, and measurements.
It aims to create a plausible visual preview, but exact draping, pleat count, border placement, and fabric physics can differ from the real garment.
Yes. Verified Business accounts can submit saree workflows through the secure TryRobe API.
TryRobe supports visible wearable fashion categories, including complete ethnic outfits and upper-wear garments, subject to image quality and generation limitations.
Start with one complimentary standard generation or create a Business workspace for API access.