Create transcript
Headers
Query parameters
When enable_logging is set to false zero retention mode will be used for the request. This will mean history features are unavailable for this request, including request stitching. Zero retention mode may only be used by enterprise customers.
Request
The ID of the model to use for transcription, currently only ‘scribe_v1’ and ‘scribe_v1_experimental’ are available.
The file to transcribe. All major audio and video formats are supported. Exactly one of the file or cloud_storage_url parameters must be provided. The file size must be less than 1GB.
An ISO-639-1 or ISO-639-3 language_code corresponding to the language of the audio file. Can sometimes improve transcription performance if known beforehand. Defaults to null, in this case the language is predicted automatically.
Whether to tag audio events like (laughter), (footsteps), etc. in the transcription.
The granularity of the timestamps in the transcription. ‘word’ provides word-level timestamps and ‘character’ provides character-level timestamps per word.
The format of input audio. Options are ‘pcm_s16le_16’ or ‘other’ For pcm_s16le_16
, the input audio must be 16-bit PCM at a 16kHz sample rate, single channel (mono), and little-endian byte order. Latency will be lower than with passing an encoded waveform.
The valid AWS S3, Cloudflare R2 or Google Cloud Storage URL of the file to transcribe. Exactly one of the file or cloud_storage_url parameters must be provided. The file must be a valid publicly accessible cloud storage URL. The file size must be less than 2GB. URL can be pre-signed.
Whether to send the transcription result to configured speech-to-text webhooks. If set the request will return early without the transcription, which will be delivered later via webhook.
Response
The detected language code (e.g. ‘eng’ for English).
The confidence score of the language detection (0 to 1).