API reference · ElevenLabs

elevenlabs/text-to-dialogue

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

AUDIOAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDelevenlabs/text-to-dialogue

Input Schema

3 parameters · 0 required · 3 optional

Parameter	Type	Required	Description
`inputs`	array	Optional	A list of dialogue inputs, each containing text and a voice ID which will be converted into speech.
`stability`	number	Optional	Determines how stable the voice is and the randomness between each generation. Lower values introduce broader emotional range for the voice. Higher values can result in a monotonous voice with limited emotion. Must be one of 0.0, 0.5, 1.0, else it will be rounded to the nearest value. · Min: 0 · Max: 1
`language_code`	string	Optional	Language code (ISO 639-3) used to enforce a language for the model. · Options: , afr, ara, hye, asm, aze, bel, ben, bos, bul, cat, ceb, nya, hrv, ces, dan, nld, eng, est, fil, fin, fra, glg, kat, deu, ell, guj, hau, heb, hin, hun, isl, ind, gle, ita, jpn, jav, kan, kaz, kir, kor, lav, lin, lit, ltz, mkd, msa, mal, cmn, mar, nep, nor, pus, fas, pol, por, pan, ron, rus, srp, snd, slk, slv, som, spa, swa, swe, tam, tel, tha, tur, ukr, urd, vie, cym afrarahyeasmazebelbenbosbulcatcebnyahrvcesdannldengestfilfinfraglgkatdeuellgujhauhebhinhunislindgleitajpnjavkankazkirkorlavlinlitltzmkdmsamalcmnmarnepnorpusfaspolporpanronrussrpsndslkslvsomspaswaswetamtelthaturukrurdviecym

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "elevenlabs/text-to-dialogue",
    "inputs": [
      {
        "text": "[applause] Thank you all for coming tonight! Today we have a very special guest with us.",
        "voice": "Aria"
      },
      {
        "text": "[gulps] ... [strong canadian accent] [excited] Hello everyone! Thank you all for having me tonight on this special day.",
        "voice": "Charlotte"
      }
    ]
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

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