ID of the model to use. Only whisper-1
(which is powered by our open source
Whisper V2 model) is currently available.
Optional
languageThe language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.
Optional
promptAn optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
Optional
response_The format of the transcript output, in one of these options: json
, text
,
srt
, verbose_json
, or vtt
.
Optional
temperatureThe 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.
Optional
timestamp_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.
The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.