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This guide shows you the fastest path from zero to your first project in Origami AI. You can start immediately using the hosted app — no sign-up, no installation — or run the full studio locally on your own machine with a few terminal commands. Either way, you’ll be creating AI-narrated videos, short-form content, and more within minutes.

Steps to Get Started

1

Open the hosted app

The quickest way to start is the live hosted version — no account or installation required:👉 https://origami.techmitten.com/Open that URL in Chrome or Edge 113+ and you’re ready to go. Skip ahead to step 3.
2

(Optional) Self-host locally

Prefer to run Origami AI on your own machine? Make sure you have Node.js ≥ 20.19.0 and a WebGPU-capable browser installed, then run:
Open http://localhost:3006 in your browser once the server starts.
3

Wait for the first-run model download

On your first visit, Origami AI automatically downloads the AI models it needs (the default text model and the Kokoro.js TTS engine). This may take a few minutes depending on your connection speed.Once downloaded, the models are cached in your browser’s storage — subsequent launches are instant, even offline. You can monitor download progress in the status bar at the bottom of the app.
4

Choose a tool and build something

Use the navigation sidebar to pick your first project type:

Available Scripts

If you’re running Origami AI locally, these npm commands cover your full development and deployment workflow:

Run with Docker

If you’d rather use Docker for a self-contained environment with better resource isolation — especially useful for heavy video rendering — a single command gets you running:
The app will be available at http://localhost:3000 once the container starts.
For the best WebGPU experience and full access to every Origami AI feature, use Chrome or Edge 113+. These browsers have the most complete and stable WebGPU implementation. Firefox Nightly (with the dom.webgpu.enabled flag) and Safari 18+ on macOS Sonoma are also supported but may have minor limitations with certain GPU-accelerated effects.