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VOICE & AUDIO

Whisper Large v3

Whisper Large v3 is a 1.54B-parameter speech-to-text model from OpenAI, suited to speech-to-text transcription.

Specifications

Provider
OpenAI
Type
Speech-to-text model
Category
Voice & audio
Parameters
1.54B
License
apache-2.0
API endpoint
/v1/audio/transcriptions
Model ID
whisper-large-v3

About Whisper Large v3

Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting.

  • transformers
  • pytorch
  • jax
  • safetensors
  • whisper
  • automatic-speech-recognition
  • audio
  • hf-asr-leaderboard

Hugging Face · 3,489,398 downloads · 6,803 likes

Whisper Large v3 API example

Speech to text through the OpenAI-compatible Denizen Blu One API. Point any OpenAI SDK at api.denizenblu.com/v1, set model to whisper-large-v3 and send the request.

curl https://api.denizenblu.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $DENIZEN_API_KEY" \
  -F "model=whisper-large-v3" \
  -F "file=@meeting.mp3"

Need keys, streaming or error codes? See the API docs, or try it first in the playground.

Included in every plan

Whisper Large v3 is part of the flat-rate catalog, so you never pay per token to use it. Plans differ by usage limits, concurrency and support, not by whether this model is available.

  • Explorer$11 a year
  • Creator$31 a year
  • Professional$51 a year
  • Ultimate$101 a year
  • EnterpriseContact sales

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