audio to text
POST
https://api.elkapi.com/v1/audio/transcriptions
Request Body Parameters
file (text): The audio file object (not a filename) to transcribe, in the following formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.model (text): The model ID to use. Currently, only whisper-1 (provided by our open-source Whisper V2 model) is available.prompt (text): Optional text to guide the model's style or to continue the previous audio clip. The prompt should match the audio language.response_format (text): The output format, available as json, text, srt, verbose_json, or vtt.temperature (text): The sampling temperature, between 0 and 1. Higher values ββ(e.g., 0.8) produce more random output, while lower values ββ(e.g., 0.2) produce more focused, deterministic output. If set to 0, the model will automatically increase the temperature using log-probability until a certain threshold is reached.language (text): The language of the input audio. Providing the input language in ISO-639-1 format will improve accuracy and latency.Request
Header Params
Body Params multipart/form-data
Responses
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.elkapi.com/v1/audio/transcriptions' \
--header 'Authorization: Bearer {{api-key}}' \
--form 'file=@""' \
--form 'model="whisper-1"' \
--form 'prompt="eiusmod nulla"' \
--form 'response_format="json"' \
--form 'temperature="0"' \
--form 'language=""'Response Response Example
{
"text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
}