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