POST
/
audio
/
translations
curl https://api.portkey.ai/v1/audio/translations \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F file="@/path/to/file/german.m4a" \
  -F model="whisper-1"
{
  "text": "<string>"
}

Authorizations

​
x-portkey-api-key
string
header
required
​
x-portkey-virtual-key
string
header
required

Body

multipart/form-data
​
file
file
required

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

​
model
required

ID of the model to use. The options are gpt-4o-transcribe, gpt-4o-mini-transcribe, and whisper-1.

Example:

"whisper-1"

​
prompt
string

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

​
response_format
string
default:json

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

​
temperature
number
default:0

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.

Response

200 - application/json

OK

​
text
string
required