Create translation

POST /audio/translations

Translates audio into English.

multipart/form-data

Body Required

  • file string(binary) Required

    The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.

  • model string Required

    Any of:

    ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.

    ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.

    Value is whisper-1.

  • prompt string

    An optional text to guide the model's style or continue a previous audio segment. The prompt should be in English.

  • The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.

    Default value is json.

  • The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.

    Default value is 0.

Responses

  • 200 application/json

    OK

    One of:
POST /audio/translations
curl \
 -X POST https://api.openai.com/v1/audio/translations \
 -H "Authorization: Bearer $ACCESS_TOKEN" \
 -H "Content-Type: multipart/form-data" \
 -F "file=@file" \
 -F "model=whisper-1" \
 -F "prompt=string" \
 -F "response_format=json" \
 -F "temperature=0"
Response examples (200)
{
  "text": "string"
}
{
  "language": "string",
  "duration": "string",
  "text": "string",
  "segments": [
    {
      "id": 42,
      "seek": 42,
      "start": 42.0,
      "end": 42.0,
      "text": "string",
      "tokens": [
        42
      ],
      "temperature": 42.0,
      "avg_logprob": 42.0,
      "compression_ratio": 42.0,
      "no_speech_prob": 42.0
    }
  ]
}