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Silero VAD

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

View on GitHub Official site
Speech To Text MIT Easy setup 9,640 stars

Overview

Description

Silero VAD reliably detects when a person is speaking in any audio stream or recording — a critical building block for voice bots, call center automation, and voice-enabled products. It works across 6,000+ languages and runs efficiently on standard CPUs with no cloud dependency, no API keys, and no recurring fees. The bottom line: add accurate voice activity detection to your product in minutes with zero vendor lock-in.

Technical scorecard

License

MIT

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

No

GUI / no-code available

No

Telemetry

None

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

None

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/snakers4/silero-vad

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA)
LanguagesPython

Works Well With