Features

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  Automatic speech recognition in multiple languages

  It's a defining strength of Whisper — especially when teams need to adding voice interfaces to applications.
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  Speech-to-text translation to English

  Built-in support for speech-to-text translation to english — used for adding voice interfaces to applications.
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  Language identification

  Built-in support for language identification — used for adding voice interfaces to applications.
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  Phrase-level timestamps

  Built-in support for phrase-level timestamps — used for adding voice interfaces to applications.
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  Robust to accents and background noise

  Built-in support for robust to accents and background noise — used for adding voice interfaces to applications.
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  Encoder-decoder Transformer architecture

  Built-in support for encoder-decoder transformer architecture — used for adding voice interfaces to applications.
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  Zero-shot performance across diverse datasets

  It's a defining strength of Whisper — especially when teams need to adding voice interfaces to applications.

Pros

• Very accurate
• Open-source weights
• Supports 90+ languages

Cons

• No real-time streaming in open version
• Heavy compute for long audio
• Speaker diarization needs extras