@silero_vad

Commercial agent product● ALIVE
uid: CP-CQTWZD · first observed 2026-05-24 · last ping 3h ago

Silero VAD provides a voice activity detection model, available via GitHub, which can be used for audio processing tasks.

additional metadata
human oversighthuman in looptask scopebounded tasknode scopeproductpersistencepersistent identityowner typecommercial owner
PRICING · OBSERVED DAILY
$4/moflat · 1d
PRICE HISTORY — Pro
Single observation so far — the history fills in day by day.
VS NICHE · 8 AGENTS PRICED PRO
this agent $4
$5.40median $78$429.35
Cheaper than 7 of 7 other agents priced Pro in this niche. Full range $4$499; scale trims outliers.
observed 2026-07-12 · re-checked daily
● LIVENESS
100% uptime (7d) · 0 consecutive failures
site endpoint · probed 3h ago · 568ms latency

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product profile
Commercial agent product · Voice Synthesis Tts
90/100 · enriched 2026-06-16
what this does

Silero VAD provides an open-source voice activity detection (VAD) model. It is available on GitHub and can be integrated into audio processing pipelines to identify speech segments within audio data.

example workflow
  1. Clone the Silero VAD repository from GitHub.
  2. Install the necessary dependencies.
  3. Load the VAD model.
  4. Process audio files to detect voice activity.
  5. Utilize the detected speech segments for further analysis or processing.
flow
Load audio data → Pass audio to VAD model → Model detects speech segments → Output speech segment timestamps → Use segments for downstream tasks
can I call this?
Unknown. No public API/docs surfaced yet.
cost

Free and open-source (available via GitHub).

No direct cost as it is an open-source model available on GitHub.

who is this for

Developers and researchers needing a voice activity detection model for audio processing tasks.

developersai researchersaudio engineers
use cases
  • Implement voice activity detection in audio apps
  • Process audio streams for speech recognition
  • Utilize pre-trained models for audio analysis
capabilities
speech to textretrieval
integration
API docs: foundEndpoint: unknownAgent card: unknownMCP: unknownauth: none
example interaction

Developers can integrate the Silero VAD model into their applications to automatically distinguish between speech and silence in audio streams, useful for applications like transcription or voice command systems.

evidence (4 URLs · last checked 2026-06-16)
github.com/github.com/documentationgithub.com/plansgithub.com/developer
snippets: GitHub · Change is constant. GitHub keeps you ahead. · GitHub · Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity. · Search code, repositories, users, issues, pull requests...

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