Translates audio into English.

POST /audio/translations
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

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

    Any of:

    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.

  • response_format string

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

    Values are json, text, srt, verbose_json, or vtt. Default value is json.

  • temperature number

    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 \
 --request POST 'https://api.openai.com/v1/audio/translations' \
 --header "Authorization: Bearer $ACCESS_TOKEN" \
 --header "Content-Type: multipart/form-data" \
 --form "file=@file" \
 --form "model=whisper-1" \
 --form "prompt=string" \
 --form "response_format=json" \
 --form "temperature=0"
Response examples (200)
{
  "text": "string"
}
{
  "language": "string",
  "duration": 42.0,
  "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
    }
  ]
}