Create Translation

Translate audio into English.

Translates audio files in any supported language to English text using OpenAI’s Whisper model. Supports the same audio formats as transcription. Maximum file size is 25 MB.

Args: file: Audio file to translate (required) model: Model ID to use (e.g., “openai/whisper-1”) prompt: Optional text to guide the model’s style response_format: Format of the output (json, text, srt, verbose_json, vtt) temperature: Sampling temperature between 0 and 1

Returns: Translation object with the English translation

POST

audio

translations

Typescript

const client = new Dedalus();

const result = await client.audio.translations.create({ ...params });

{
  "language": "<string>",
  "duration": 123,
  "text": "<string>",
  "segments": [
    {
      "id": 123,
      "seek": 123,
      "start": 123,
      "end": 123,
      "text": "<string>",
      "tokens": [
        123
      ],
      "temperature": 123,
      "avg_logprob": 123,
      "compression_ratio": 123,
      "no_speech_prob": 123
    }
  ]
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

multipart/form-data

file

required

model

string

required

prompt

string | null

response_format

string | null

temperature

number | null

Response

Successful Response

CreateTranslationResponseVerboseJson
CreateTranslationResponseJson

Fields: # noqa: D415.

language (required): str
duration (required): float
text (required): str
segments (optional): list[TranscriptionSegment]

language

string

required

The language of the output translation (always english).

duration

number

required

The duration of the input audio.

text

string

required

The translated text.

segments

TranscriptionSegment · object[]

Segments of the translated text and their corresponding details.

Show child attributes

Last modified on May 29, 2026

Create Transcription

Create Image

⌘I

Typescript

const client = new Dedalus();

const result = await client.audio.translations.create({ ...params });

{
  "language": "<string>",
  "duration": 123,
  "text": "<string>",
  "segments": [
    {
      "id": 123,
      "seek": 123,
      "start": 123,
      "end": 123,
      "text": "<string>",
      "tokens": [
        123
      ],
      "temperature": 123,
      "avg_logprob": 123,
      "compression_ratio": 123,
      "no_speech_prob": 123
    }
  ]
}