LocalClaw/TTS/Whisper v3 Turbo
Local ASR model

Whisper v3 Turbo

OpenAI's optimized Whisper v3 with 4 decoder layers instead of 32. 8× faster than Whisper Large v3 with only minor accuracy trade-off. 99 languages supported. New gold standard for fast local transcription.

Apple Silicon ready speech-to-text transcription 99 languages MIT
Compare TTS models Open source page
Quality
9.1/10
Speed
9.5/10
Model size
1.6 GB
Voices
N/A (ASR: outputs text)

Can Whisper v3 Turbo run locally?

Whisper v3 Turbo can run locally for offline speech-to-text. Start with pip install openai-whisper.

MIT license. Still verify upstream usage notes before shipping.

pip install openai-whisper Upstream source
streamingrealtimemultilinguallow-latency

Audio profile

Quality
9.1
Speed
9.5
Local
9.4

Best fit

Whisper v3 Turbo is best for offline transcription, speech indexing and local voice pipelines.

Hardware: cpugpuapple

Model details

Type
Local ASR model
Family
whisper
Latency
ultra-low
Formats
pytorchsafetensorsgguf
Languages
multilingual
Context
809M params, 4 decoder layers, 99 languages

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors, gguf on your machine.
02
Install modelUse the upstream command or repository instructions.
03
Test locallyRun a short private audio prompt before moving into production workflows.
pip install openai-whisper

Good for

  • speech-to-text transcription
  • Apple Silicon ready local workflows
  • streaming, realtime, multilingual

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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