Web

Get started with ONNX Runtime Web

Contents

Install

Use the following command in shell to install ONNX Runtime Web:

# install latest release version
npm install onnxruntime-web

# install nightly build dev version
npm install onnxruntime-web@dev

Import

Use the following JavaScript code to import ONNX Runtime Web:

// use ES6 style import syntax (recommended)
import * as ort from 'onnxruntime-web';

// or use CommonJS style import syntax
const ort = require('onnxruntime-web');

If you want to use ONNX Runtime Web with WebGPU support (experimental feature), you need to import as below:

// use ES6 style import syntax (recommended)
import * as ort from 'onnxruntime-web/webgpu';

// or use CommonJS style import syntax
const ort = require('onnxruntime-web/webgpu');

If you want to use ONNX Runtime Web with WebNN support (experimental feature), you need to import as below:

// use ES6 style import syntax (recommended)
import * as ort from 'onnxruntime-web/experimental';

// or use CommonJS style import syntax
const ort = require('onnxruntime-web/experimental');

For a complete table for importing, see Conditional Importing.

Documentation

See ONNX Runtime JavaScript API{:target=“_blank”} for API reference. Please also check the following links for API usage examples:

• Tensor - a demonstration of basic usage of Tensor.

• Tensor <—> Image conversion - a demonstration of conversions from Image elements to and from Tensor.

• InferenceSession - a demonstration of basic usage of InferenceSession.

• SessionOptions - a demonstration of how to configure creation of an InferenceSession instance.

• ort.env flags - a demonstration of how to configure a set of global flags.

• See also: TypeScript declarations for Inference Session, Tensor, and Environment Flags for reference.

See Tutorial: Web for tutorials.

See Training on web demo for training using onnxruntime-web.

Examples

The following examples describe how to use ONNX Runtime Web in your web applications for model inferencing:

• Quick Start (using bundler)
• Quick Start (using script tag)

The following are E2E examples that uses ONNX Runtime Web in web applications:

• Classify images with ONNX Runtime Web - a simple web application using Next.js for image classifying.
• ONNX Runtime Web demos for image recognition, handwriting analysis, real-time emotion detection, object detection, and so on.
• OpenAI Whisper - demonstrates how to run whisper tiny.en in your browser using onnxruntime-web and the browser’s audio interfaces.
• Facebook Segment-Anything - demonstrates how to run segment-anything in your browser using onnxruntime-web with webgpu.

The following are video tutorials that use ONNX Runtime Web in web applications:

• ONNX Runtime Web for In Browser Inference
• Inference in Javascript with ONNX Runtime Web

Supported Versions

EPs/Browsers	Chrome/Edge (Windows)	Chrome/Edge (Android)	Chrome/Edge (macOS)	Chrome/Edge (iOS)	Safari (macOS)	Safari (iOS)	Firefox (Windows)	Node.js
WebAssembly (CPU)	✔️	✔️	✔️	✔️	✔️	✔️	✔️	✔️[1]
WebGPU	✔️[2]	✔️[3]	✔️	❌	❌	❌	❌	❌
WebGL	✔️[4]	✔️[4]	✔️[4]	✔️[4]	✔️[4]	✔️[4]	✔️[4]	❌
WebNN	✔️[5]	❌	❌	❌	❌	❌	❌	❌

• [1]: Node.js only support single-threaded wasm EP.
• [2]: WebGPU requires Chromium v113 or later on Windows. Float16 support requires Chrome v121 or later, and Edge v122 or later.
• [3]: WebGPU requires Chromium v121 or later on Windows.
• [4]: WebGL support is in maintenance mode. It is recommended to use WebGPU for better performance.
• [5]: Requires to launch browser with commandline flag --enable-features=WebMachineLearningNeuralNetwork.