Create transcription

POST /audio/transcriptions

Transcribes audio into the input language.

multipart/form-data

Body Required

  • file string(binary) Required

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

  • model string Required

    Any of:
    string-1 string string-2 string

    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.

  • language string

    The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.

  • prompt string

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

  • response_format string

    The format of the transcript 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.

  • timestamp_granularities[] array[string]

    The timestamp granularities to populate for this transcription. response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported: word, or segment. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.

    Values are word or segment. Default value is ["segment"].

  • Additional properties are NOT allowed

Responses

  • 200 application/json

    OK

    One of:
    CreateTranscriptionResponseJson object CreateTranscriptionResponseVerboseJson object
POST /audio/transcriptions 
curl \
 -X POST https://api.openai.com/v1/audio/transcriptions \
 -H "Authorization: Bearer $ACCESS_TOKEN" \
 -H "Content-Type: multipart/form-data" \
 -F "file=@file" \
 -F "model=whisper-1" \
 -F "language=string" \
 -F "prompt=string" \
 -F "response_format=json" \
 -F "temperature=0" \
 -F "timestamp_granularities[][]=segment"
Response examples (200) 
{
  "text": "string"
}
{
  "language": "string",
  "duration": "string",
  "text": "string",
  "words": [
    {
      "word": "string",
      "start": 42.0,
      "end": 42.0
    }
  ],
  "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
    }
  ]
}