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Create translation

$ openai audio:translations create
POST/audio/translations

Translates audio into English.

ParametersExpand Collapse
--file: file path

The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. The request must include enough format metadata for the file to be identified. We recommend an extension-bearing filename and an appropriate content type.

--model: string or 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 string

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

--response-format: optional "json" or "text" or "srt" or 2 more

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

--temperature: optional number

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
AudioTranslationNewResponse: Translation { text } or TranslationVerbose { duration, language, text, segments }
translation: object { text }
translation_verbose: object { duration, language, text, segments }

Create translation

openai audio:translations create \
  --api-key 'My API Key' \
  --file 'Example data' \
  --model whisper-1
{
  "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?"
}