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@volcengine/avatar-web-sdk
Advanced tools
Avatar Web SDK enables conversational digital-avatar interactions in the browser. Your users speak into the microphone, and an AI-driven avatar (rendered via WebRTC) responds in real time with both voice and video.
Avatar Web SDK enables conversational digital-avatar interactions in the browser. Your users speak into the microphone, and an AI-driven avatar (rendered via WebRTC) responds in real time with both voice and video.
Two builds of the SDK are published — pick the one that matches your deployment region. They share the same API; only the underlying RTC module and registry differ.
| Region | Package | RTC dependency |
|---|---|---|
| China | @volcengine/avatar-web-sdk | @volcengine/rtc |
npm install @volcengine/avatar-web-sdk
localhost)import {
AvatarSDK,
AvatarSession,
AvatarSessionConfig,
RenderMode,
} from "@byteplus/avatar-web-sdk"; // pkg-variant
// 1. Initialize the SDK (do this once, treat as a singleton)
const sdk = new AvatarSDK({
appKey: "YOUR_APP_KEY",
secretKey: "YOUR_SECRET_KEY",
stsToken: "OPTIONAL_STS_TOKEN",
environment: "cn",
logEnabled: true,
logLevel: "info",
});
// 2. Prepare a container for the avatar video
const videoContainer = document.getElementById("avatar-video") as HTMLDivElement;
// 3. Create and start a session
const sessionConfig: AvatarSessionConfig = {
avatarImageUrl: "https://your-cdn.example/avatar.jpg",
speaker: "zh_female_qingxin", // TTS voice ID
userPrompt: "You are a friendly assistant.",
speechRate: 0, // -50 to 100, default 0
loudnessRate: 0, // -50 to 100, default 0
enableWebsearch: false,
};
const session: AvatarSession = sdk.createSession(sessionConfig);
session.setAvatarVideoCanvas(videoContainer, RenderMode.FIT);
session.on("start", () => {
console.log("Avatar session started");
});
session.on("end", (error?: Error) => {
if (error) {
console.error("Session ended with error:", error);
} else {
console.log("Session ended normally");
}
});
await session.start();
// 4. Begin capturing microphone audio for voice interaction
await session.startAudioCapture();
// ... user speaks, avatar responds with voice + video ...
// 5. Stop
await session.stopAudioCapture();
await session.end();
// session is now invalid; create a new one for the next interaction
idle ──start()──▶ starting ──▶ started ──end()──▶ ending ──▶ ended
(cannot be reused)
end() returns, discard it and call sdk.createSession(...) again to start a new conversation.start() opens a WebSocket connection and initializes the WebRTC video/audio channel.end() sends a clean shutdown to the server and releases microphone / WebRTC resources.destroy() as a safety net to force-release resources.AvatarSession extends EventEmitter. Subscribe with session.on(eventName, handler):
| Event | Payload | When it fires |
|---|---|---|
start | — | Session is ready for interaction |
end | error?: Error | Session ended (either normally or with error) |
audioCaptureStart | — | Microphone recording began |
audioCaptureStop | — | Microphone recording stopped |
audioCaptureFail | error: Error | Microphone access or recording failed |
audioFrame | frame: AudioFrame | Raw PCM frame from the microphone |
session.on("audioCaptureFail", (error) => {
alert("Microphone access denied: " + error.message);
});
Passed to setAvatarVideoCanvas(container, mode):
RenderMode.HIDDEN — fill the container, cropping if necessary (default)RenderMode.FIT — fit within the container, preserving aspect ratioRenderMode.FILL — stretch to fill the container (may distort)FAQs
Avatar Web SDK enables conversational digital-avatar interactions in the browser. Your users speak into the microphone, and an AI-driven avatar (rendered via WebRTC) responds in real time with both voice and video.
The npm package @volcengine/avatar-web-sdk receives a total of 8 weekly downloads. As such, @volcengine/avatar-web-sdk popularity was classified as not popular.
We found that @volcengine/avatar-web-sdk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 46 open source maintainers collaborating on the project.

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