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Genlook Virtual try-on API
Add AI virtual try-on to any app in two API calls
Genlook is an AI virtual try-on engine behind a simple REST API and TypeScript SDK. Two HTTP calls 1. upload a photo, 2. run the try-on and your users see themselves wearing any product. It works with plain 2D product images. Drop it into any store, app, or custom flow, with an MCP server for AI agents too.
Hey Product Hunt 👋
I'm Thibault, the founder of Genlook.
Six months ago I launched Genlook as a Shopify app, a try-on button on the product page where shoppers upload a selfie and instantly see themselves wearing the product. Merchants liked what it did to conversion and returns… but the same message kept hitting my inbox: "Can I get this as an API?"
It came from WooCommerce stores, mobile apps, custom storefronts, and lately, people building AI shopping agents.
So I pulled the engine out of the Shopify app and shipped it on its own. Genlook Virtual Try-On API.
The whole integration is two HTTP calls: upload the customer photo, run the try-on. It works with the flat 2D product images you already have. And since everyone's building agents now, an MCP server too, so Claude or Cursor can run a try-on as a tool.
About Genlook Virtual try-on API on Product Hunt
“Add AI virtual try-on to any app in two API calls”
Genlook Virtual try-on API was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #102 on the daily leaderboard. Genlook is an AI virtual try-on engine behind a simple REST API and TypeScript SDK. Two HTTP calls 1. upload a photo, 2. run the try-on and your users see themselves wearing any product. It works with plain 2D product images. Drop it into any store, app, or custom flow, with an MCP server for AI agents too.
On the analytics side, Genlook Virtual try-on API competes within API, Photography, GitHub and E-Commerce — topics that collectively have 324.4k followers on Product Hunt. The dashboard above tracks how Genlook Virtual try-on API performed against the three products that launched closest to it on the same day.
Who hunted Genlook Virtual try-on API?
Genlook Virtual try-on API was hunted by Thibault Mathian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Genlook Virtual try-on API including community comment highlights and product details, visit the product overview.
Thibault Mathian