OpenAI Whisper API: other

Whisper API Reference

Endpoint

POST https://api.muapi.ai/api/v1/openai-whisper

Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
audio_url	string	Yes	URL of the audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav, webm. File must be under 25 MB.
language	string	No	Optional ISO-639-1 language code of the input audio (e.g. 'en', 'es', 'hi'). Leave empty for automatic detection.
prompt	string	No	Optional context to guide the model's style or to spell out unusual words and proper nouns. Should match the audio language.
response_format	string	No	Output format. 'json' / 'text' return plain transcripts, 'srt' / 'vtt' return timestamped subtitles, 'verbose_json' includes per-segment metadata.Options: json, text, srt, verbose_json, vttDefault: "json"
temperature	number	No	Sampling temperature between 0 and 1. Higher values make output more random; lower values make it more deterministic.Default: 0

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/openai-whisper \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"audio_url":"https://example.com/your-audio_url"}' | jq -r .request_id)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python example

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/openai-whisper", headers=headers, json={"audio_url":"https://example.com/your-audio_url"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.