GraphCanon updated 3w · GitHub synced 3w
Decision brief
vad provides a straightforward API for detecting speech start and end points in browser-based applications using the Web Audio API.
Good fit when
- When you need to work within web applications that require real-time voice activity detection via simple script tags without deep integration complexity.
- If your project focuses on TypeScript development and leverages ORT (ONNX Runtime) for computational efficiency in the browser.
Avoid when
- In scenarios where full offline support is required, as vad depends on CDN-hosted resources for its operation.
- For applications that require extremely low latency, since it incorporates a speech detection logic based on larger frameworks like ONNX Runtime which could introduce additional overhead.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (2,024) are secondary evidence.
- npm downloads (30d)
- 44·npm downloads API·3w
Maintenance and security
Full trust report- Maintenance
- Slowing (181d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- 29 low (29 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install vadSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A voice activity detection tool that provides a simple API to detect speech start and end in web applications.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Jul 30, 2026
- Languages
- typescript, javascript, python
Source: github.language+package.json+pyproject.toml · Jul 30, 2026
Categories
Tags
README
Quick Start
To use the VAD via a script tag in the browser, include the following script tags:
<script src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/ort.wasm.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@ricky0123/vad-web@0.0.29/dist/bundle.min.js"></script>
<script>
async function main() {
const myvad = await vad.MicVAD.new({
onSpeechStart: () => {
console.log("Speech start detected")
},
onSpeechEnd: (audio) => {
// do something with `audio` (Float32Array of audio samples at sample rate 16000)...
},
onnxWASMBasePath:
"https://cdn.jsdelivr.net/npm/onnxruntime-web@1.22.0/dist/",
baseAssetPath:
"https://cdn.jsdelivr.net/npm/@ricky0123/vad-web@0.0.29/dist/",
})
myvad.start()
}
main()
</script>
Documentation for bundling the voice activity detector for the browser or using it in node or React projects can be found on vad.ricky0123.com.
For agents
This page has a .md twin and JSON over the API.