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Create Translation
Use CometAPI POST /v1/audio/translations to translate spoken audio into English text. Supports Whisper model with multiple output formats.
from openai import OpenAI
client = OpenAI(
api_key="<COMETAPI_KEY>",
base_url="https://api.cometapi.com/v1"
)
audio_file = open("audio.mp3", "rb")
translation = client.audio.translations.create(
model="whisper-1",
file=audio_file
)
print(translation.text){
"text": "Hello, welcome to CometAPI."
}Authorizations
Bearer token authentication. Use your CometAPI key.
Body
The audio file to translate. Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm.
The audio translation model to use. Choose a current speech model from the Models page.
Optional text to guide the model's style or continue a previous audio segment. The prompt should be in English.
The output format for the translation.
json, text, srt, verbose_json, vtt Sampling temperature between 0 and 1. Higher values produce more random output; lower values are more focused. When set to 0, the model auto-adjusts temperature using log probability.
0 <= x <= 1Response
The translation result in English.
The translated text in English.
from openai import OpenAI
client = OpenAI(
api_key="<COMETAPI_KEY>",
base_url="https://api.cometapi.com/v1"
)
audio_file = open("audio.mp3", "rb")
translation = client.audio.translations.create(
model="whisper-1",
file=audio_file
)
print(translation.text){
"text": "Hello, welcome to CometAPI."
}