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Silero VAD vs Whisper

Silero VAD and Whisper are both Audio Generation tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeSilero VADWhisper
Product statusStatus not recordedStatus not recorded
VendorSilero TeamOpenAI
Rating★ 4.6★ 4.7
PricingFreeFree
PlatformsLibrary, Python, ONNXSelf-hosted, CLI, Python
Key featuresSpeech interval timestamps, 8 kHz and 16 kHz input, PyTorch/ONNX and streaming examplesMultilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes
Headquarters——
Launched——
Open sourceNoYes

Key differences

  • Whisper carries the higher editorial score (4.7★ vs 4.6★).
  • Both Silero VAD and Whisper use a Free model.
  • Whisper is open source (its code is public), while Silero VAD is proprietary.
  • Silero VAD runs on Library, Python, ONNX; Whisper runs on Self-hosted, CLI, Python.

Silero VAD and Whisper at a glance

Silero VAD

Silero Team

Silero VAD is a downloadable voice-activity detector that marks speech intervals, with PyTorch and ONNX deployment options.

Rating
4.6★
Pricing
Free

Editorial verdict

Use it as a configurable speech-detection component and evaluate its thresholds in your full audio pipeline.

Strengths

  • Downloadable detector and deployment examples
  • No built-in registration or key required by the repository

Key features

  • Speech interval timestamps
  • 8 kHz and 16 kHz input
  • PyTorch/ONNX and streaming examples

Best for

  • ASR speech pre-segmentation
  • Voice-interface input gating
  • Speech/non-speech dataset preparation
Read the full Silero VAD review →

Whisper

OpenAI

Whisper is OpenAI's downloadable speech-recognition code and models for multilingual transcription and translation into English, with local deployment options.

Rating
4.7★
Pricing
Free

Editorial verdict

Consider Whisper when you can operate and evaluate an ASR pipeline, and review the transcript against the recording.

Strengths

  • Downloadable code and official weights
  • Model sizes and task limits are documented

Key features

  • Multilingual transcription and language detection
  • English translation with supported models
  • CLI/Python and selectable model sizes

Best for

  • Reviewable subtitle drafts
  • Local transcription pipelines
  • Speech-to-English translation with suitable models
Read the full Whisper review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • Silero VAD also lists: Speech interval timestamps, 8 kHz and 16 kHz input, PyTorch/ONNX and streaming examples
  • Whisper also lists: Multilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes

Frequently asked questions

Is Silero VAD or Whisper better?

By editorial score, Whisper scores higher (4.7★ vs 4.6★). Both are capable Audio Generation tools, so review the feature comparison for your use case.

Which is cheaper, Silero VAD or Whisper?

Both Silero VAD and Whisper use a Free pricing model.

Are Silero VAD and Whisper open source?

Whisper is open source, while Silero VAD is proprietary.

What platforms do Silero VAD and Whisper support?

Silero VAD supports Library, Python, ONNX; Whisper supports Self-hosted, CLI, Python.

What are the main features of Silero VAD and Whisper?

Silero VAD: Speech interval timestamps, 8 kHz and 16 kHz input, PyTorch/ONNX and streaming examples. Whisper: Multilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes.

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