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🌕 Lucero

Transcribes audio into the input language.

POST
/audio/transcriptions

Authorizations

Request Body required

object
file
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.

string format: binary
model
required
Any of:
string
language

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

string
prompt

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

string
response_format

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

string
default: json
Allowed values: json text srt verbose_json 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 to automatically increase the temperature until certain thresholds are hit.

number
timestamp_granularities[]

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.

Array<string>
default: segment
Allowed values: word segment

Responses

200

OK

One of:

Represents a transcription response returned by model, based on the provided input.

object
text
required

The transcribed text.

string