API Reference

Audio

Translations

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Create translation

audio.translations.create(TranslationCreateParams**kwargs) -> TranslationCreateResponse

POST/audio/translations

Translates audio into English.

ParametersExpand Collapse

file: FileTypes

The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.

model: Union[str, AudioModel]

ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.

prompt: Optional[str]

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

response_format: Optional[Literal["json", "text", "srt", 2 more]]

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

temperature: Optional[float]

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.

ReturnsExpand Collapse

TranslationCreateResponse

One of the following:

class Translation: …

class TranslationVerbose: …

Create translation

Python

HTTP

Python

TypeScript

Go

Ruby

Java

CLI Tool

from openai import OpenAI
client = OpenAI()

audio_file = open("speech.mp3", "rb")
transcript = client.audio.translations.create(
  model="whisper-1",
  file=audio_file
)

{
  "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
}

Returns Examples

{
  "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
}