Instance Constructors

1.  new CreateTranscriptionRequest(file: File, model: CreateTranscriptionRequest.Model, language: Optional[String] = Optional.Absent, prompt: Optional[String] = Optional.Absent, responseFormat: Optional[CreateTranscriptionRequest.ResponseFormat] = Optional.Absent, temperature: Optional[Double] = Optional.Absent, timestampGranularities[]: Optional[Chunk[TimestampGranularities[]Item]] = Optional.Absent)
   file

   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

   ID of the model to use. Only whisper-1 is currently available.

   language

   The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.

   prompt

   An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.

   responseFormat

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

   temperature

   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](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.

   timestampGranularities[]

   The timestamp granularities to populate for this transcription. Any of these options: word, or segment. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.