🚀 Get Started

Integrate AI models with WebAssembly in just a few steps. Build, compile, and deploy secure, high-performance AI experiences.

1

Install WasmAI CLI

Install the WasmAI command-line interface to compile and package AI models as WebAssembly modules.

npm install -g @wasm-ai/cli
2

Convert AI Model to Wasm

Use the CLI to convert your trained model (PyTorch, TensorFlow, ONNX) into a WebAssembly module.

wasm-ai convert model.onnx --platform browser -o model.wasm
3

Implement in Your Project

Load the WebAssembly module in your JavaScript/TypeScript code and run AI inference directly in the browser.

const Module = wasmAI.init('./model.wasm');
const result = await Module.runInference(input);
4

Deploy Securely

WasmAI modules are sandboxed by default. Host them on any platform and run inference safely in user browsers.

🔒 Security Docs 💡 View Live Example

Need More Help?

Check out the full documentation, join the community, or explore ready-to-use templates in the CLI.

🔍 Full Documentation 👥 Join the Community