About Whisper
Whisper transcribes speech in 90+ languages with near-human accuracy. Open-source and free to run locally; also available via OpenAI API. Teams pick it because very accurate and open-source weights.
Things to keep in mind: no real-time streaming in open version.
Whisper is a freemium tool from OpenAI and launched on 2022-09-21. It sits in the Audio and Research space and is best used to Transcribe podcasts, Translate audio between languages.
Pricing
- Self-hosted speech-to-text model
- No API rate limits or usage restrictions
- Full model weights available on GitHub
Features
- •Studio-grade voicesBuilt-in support for studio-grade voices — used for transcribe podcasts.
- •Real-time TTS APIBuilt-in support for real-time tts api — used for transcribe podcasts.
- •Voice cloning from short samplesBuilt-in support for voice cloning from short samples — used for transcribe podcasts.
- •Background-noise reductionBuilt-in support for background-noise reduction — used for transcribe podcasts.
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
AI Models used
The foundation models that power Whisper under the hood.
OpenAI's proprietary speech-to-text model that converts audio in multiple languages into accurate text transcriptions.
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