Speech-to-Text (STT)
POST /v1/audio/transcriptions
Request Parameters
| Parameter | Type | Required | Description |
|---|
file | file | Yes | Audio file (multipart/form-data) |
model | string | Yes | Model name: whisper-1, gpt-4o-transcribe |
language | string | No | Audio language (ISO-639-1 format), e.g. zh, en, ja |
response_format | string | No | Output format: json (default), text, srt, verbose_json, vtt |
temperature | number | No | Sampling temperature, 0-1 |
prompt | string | No | Prompt to help the model understand context |
mp3, mp4, mpeg, mpga, m4a, wav, webm
Request Examples
curl -X POST https://crazyrouter.com/v1/audio/transcriptions \
-H "Authorization: Bearer YOUR_API_KEY" \
-F file=@audio.mp3 \
-F model=whisper-1 \
-F language=en \
-F response_format=json
Response Examples
{
"text": "Hello, welcome to the Crazyrouter API. Today we'll introduce the speech-to-text feature."
}
{
"task": "transcribe",
"language": "english",
"duration": 5.2,
"text": "Hello, welcome to the Crazyrouter API.",
"segments": [
{
"id": 0,
"start": 0.0,
"end": 2.5,
"text": "Hello, welcome to the Crazyrouter API."
}
]
}
1
00:00:00,000 --> 00:00:02,500
Hello, welcome to the Crazyrouter API.
Audio Translation
POST /v1/audio/translations
with open("chinese_audio.mp3", "rb") as audio_file:
translation = client.audio.translations.create(
model="whisper-1",
file=audio_file
)
print(translation.text) # Outputs English translation
Specifying the language parameter can improve transcription accuracy. Audio file size limit is 25MB.
