As developers, we often see "Virtual Try-On" as a complex mess of AR filters and expensive 3D models. But what if you could achieve photorealistic clothing visualization with just a standard REST API?
That is exactly why I built Torziva.
The Problem: The "Static Image" Bottleneck
E-commerce has a massive conversion problem because static 2D images don't tell the full story. Traditional solutions require users to have specialized hardware or brands to invest in 3D assets.
The Solution: Torziva Sync
The app.torziva.site platform provides a Universal Web Data API and a high-fidelity AI Virtual Try-On engine. It uses diffusion models to realistically drape 2D clothing images onto user-uploaded photos—preserving body proportions and natural poses without the need for 3D modeling.
Technical Highlights:
- Simple Integration: You can add interactive try-on experiences to any web app with a single line of JavaScript.
- Developer-First Dashboard: The app dashboard at app.torziva.site allows you to manage API keys, monitor usage, and configure data sync rules.
- Agnostic Architecture: Built to work seamlessly with Next.js, React, and Node.js, as well as major e-commerce platforms like Shopify and Wix.
- Real-time Data Sync: Beyond just visuals, it can sync product data from existing sites into a structured API format for your custom frontend.
How to Get Started
- Sign up at app.torziva.site to grab your API credentials.
- Integrate the SDK into your project’s
<head>. - Deploy and start reducing return rates by up to 40% while boosting conversion by 2.3x.
I'm building this in public and would love to get your feedback on the API structure and the no-code integration flow.
Check out the project: torziva.site
Dev Dashboard: app.torziva.site
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