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Whisper-Large-V3-Turbo

Description​

“Whisper-Large-V3-Turbo” is a multilingual automatic speech recognition model (ASR) developed by OpenAI, optimized for speed and efficiency. It is based on the architecture of the well-known “Whisper-Large-V3” model, but uses a lighter decoder structure to significantly reduce latency with only a minimal loss in accuracy. The model supports over 99 languages and is ideal for transcribing speech inputs.

The following limitations apply to this model on our platform:

  • Maximum file size: 25 MB per upload
  • No explicit context length limit – depends on audio duration and file size
  • Translation is currently not supported (to_language)
  • Supported output formats: text, json
    • Other formats (srt, vtt, verbose_json) are currently not supported

Supported Input Formats​

mp3, ogg, wav, flac

Supported values for parameter language (ISO-639-1 language codes)​

af, ar, az, be, bg, bs, ca, cs, cy, da, de, el, en, es, et, fa, fi, fr, gl, he, hi, hr, hu, hy, id, is, it, ja, kk, kn, ko, lt, lv, mk, mi, mr, ms, ne, nl, no, pl, pt, ro, ru, sk, sl, sr, sv, sw, ta, th, tl, tr, uk, ur, vi, zh

  • temperature=1.0
  • top_p=1.0
  • response_format="json"
  • language like language="de"should always be set explicitly to maximize accuracy. If no value is provided, German ("de") will be assumed by default, which may result in poorer outcomes for inputs in other languages.

Example Output (response_format=json)​

{
  "text": "This is the transcribed text of a speech input.",
  "usage": {
    "type": "duration",
    "seconds": 8
  }
}

Best Practices​

  • Always set the language parameter explicitly, e.g. language="de" for German audio files.
  • Segment long audio files into chunks of < 25 MB.
  • For real-time or near-real-time applications, use response_format="text".
  • For multilingual recordings: transcribe each language separately for better accuracy.

Terms of Use and Licensing​

The general terms of use apply. The model is provided by OpenAI under the MIT License, and reuse of the generated content is subject to no additional restrictions.