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POST
/
v1
/
audio
/
transcriptions
Python (OpenAI SDK)
from openai import OpenAI

client = OpenAI(
    api_key="<COMETAPI_KEY>",
    base_url="https://api.cometapi.com/v1"
)

audio_file = open("audio.mp3", "rb")
transcription = client.audio.transcriptions.create(
    model="whisper-1",
    file=audio_file
)
print(transcription.text)
{
  "text": "Hello, welcome to CometAPI."
}

Documentation Index

Fetch the complete documentation index at: https://apidoc.cometapi.com/llms.txt

Use this file to discover all available pages before exploring further.

Autorisierungen

​
Authorization
string
header
erforderlich

Bearer token authentication. Use your CometAPI key.

Body

multipart/form-data
​
file
file
erforderlich

The audio file to transcribe. Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm.

​
model
string
Standard:whisper-1
erforderlich

The speech-to-text model to use. Choose a current speech model from the Models page.

​
language
string

The language of the input audio in ISO-639-1 format (e.g., en, zh, ja). Supplying the language improves accuracy and latency.

​
prompt
string

Optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.

​
response_format
enum<string>
Standard:json

The output format for the transcription.

Verfügbare Optionen:
json,
text,
srt,
verbose_json,
vtt
​
temperature
number
Standard:0

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.

Erforderlicher Bereich: 0 <= x <= 1

Antwort

200 - application/json

The transcription result.

​
text
string
erforderlich

The transcribed text.