MyProductAI

The story

MyProductAI came out of a simple observation about Indian D2C fashion: a studio photoshoot is slow and expensive, and most small sellers can't afford one for every drop. So we built a tool that turns a single garment photo into catalog-ready product shots, virtual try-ons and video — from ₹5 an image.

The pricing is the point: ₹5 an image is deliberately low enough that a small seller doesn't have to think twice about using it.

It is built for Indian clothes specifically, and that is not a detail. Sarees, lehengas and heavy ethnic wear drape in ways generic try-on models get visibly wrong, and jewellery lives or dies on detail a general model smooths away. Getting those right is the work, and it is why sellers here stay.

It's also becoming a family. Try-on, in-room surface placement and a wardrobe manager all fold into the same engine rather than sprawling out as separate brands fighting for attention.

It also travels, and this is now the larger half of it. The same engine ships inside a seller's own Shopify storefront, so a shopper taps a garment and sees it on a model without ever hearing our name — and API partners build on the engine directly instead of coming through our front door. More work now runs as partner jobs than we have registered users, which is the whole difference between a tool people visit and infrastructure people build on.

The easiest route in is now the one with nothing to learn at all: a seller sends a garment photo on WhatsApp and gets the finished images back in the same chat. No signup, no dashboard, no new tool. That is where the newest sellers arrive, and the web app has quietly become the smaller door.

We keep the surface deliberately simple — one photo in, sellable images out — because the whole value is skipping the studio, not learning another tool.