ElevenLabs Text to Dialogue V3 API: AI Audio Generation

ElevenLabs Text to Dialogue V3 API Reference

Endpoint

POST https://api.muapi.ai/api/v1/elevenlabs-text-to-dialogue-v3

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
dialogue	array	Yes	List of speaker turns.
stability	number	No	Determines voice stability and randomness (0 to 1, default 0.5).Default: 0.5
language_code	string	No	Target language for dialogue. Leave empty for automatic language detection.Options: af, ar, hy, as, az, be, bn, bs, bg, ca, ceb, ny, hr, cs, da, nl, en, et, fil, fi, fr, gl, ka, de, el, gu, ha, he, hi, hu, is, id, ga, it, ja, jv, kn, kk, ky, ko, lv, ln, lt, lb, mk, ms, ml, zh, mr, ne, no, ps, fa, pl, pt, pa, ro, ru, sr, sd, sk, sl, so, es, sw, sv, ta, te, th, tr, uk, ur, vi, cyDefault: null

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/elevenlabs-text-to-dialogue-v3 \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dialogue":[]}' | 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}/elevenlabs-text-to-dialogue-v3", headers=headers, json={"dialogue":[]})
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.