# Elevenlabs API

> Pārvērš teksta un balss ID pāru sarakstu vairāku runātāju dialoga audio celiņā

Izveido runātu dialogu no obligāta `inputs` saraksta, kur katrs ieraksts apvieno tekstu ar balss ID. Balss uzvedību var pielāgot ar `stability` (0 līdz 1) un `use_speaker_boost`. Valodu var noteikt ar `language_code`, kā arī izmantot līdz 3 izrunas vārdnīcu lokatorus. Atkārtojamībai tiek pieņemts `seed`, kas tiek atgriezts kopā ar audio.

- Model id: `elevenlabs/text-to-dialogue/eleven-v3`
- Made by: ElevenLabs
- Category: Text to Speech
- Output: audio
- Estimated price per run: $0.10 / run (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.ru/v1/run/elevenlabs/text-to-dialogue/eleven-v3`
- Quote: `POST https://api.doitong.ru/v1/quote/elevenlabs/text-to-dialogue/eleven-v3`
- Docs page: https://doitong.com/lv/developers/models/elevenlabs/text-to-dialogue/eleven-v3

## Pricing

Price: **$0.10 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.10 = 100 API credits (1 request × 100 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/elevenlabs/text-to-dialogue/eleven-v3` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `inputs` |  | array of object {text, voice} | yes |  |  | Dialoga ieraksti, kas sintezējami kā runa; katrs sasaista tekstu ar balss ID. |
| `inputs[].text` |  | string | yes |  |  | Teksts, kurā ir dialogs. |
| `inputs[].voice` |  | string | yes |  |  | Ģenerēšanai atlasītais balss nosaukums vai ID. |
| `stability` |  | number \| null | no |  | 0 – 1 | Balss stabilitāte un variācija starp ģenerēšanas reizēm; pieļaujamas tikai 0.0, 0.5 vai 1.0. Ārpus šīs kopas esošās ievades tiek noapaļotas līdz tuvākajai pieļaujamajai vērtībai. Augstāki iestatījumi var ierobežot emocijas un radīt monotonu skanējumu, savukārt zemāki paplašina balss emocionālo diapazonu. |
| `use_speaker_boost` |  | boolean \| null | no |  |  | Runātāja līdzības uzlabošana, kas nedaudz lielākas skaitļošanas slodzes dēļ palielina aizkavi. Iespējošana padara balsi līdzīgāku sākotnējam runātājam. |
| `pronunciation_dictionary_locators` |  | array of object {pronunciation_dictionary_id, version_id} | no | `[]` |  | Norādiet līdz 3 izrunas vārdnīcu lokatoriem secībā, kādā tiem jāietekmē teksts. Katrs lokators identificē vārdnīcu pēc id un version_id. |
| `pronunciation_dictionary_locators[].pronunciation_dictionary_id` |  | string \| null | no |  |  | Izrunas vārdnīcas identifikators. |
| `pronunciation_dictionary_locators[].version_id` |  | string \| null | no |  |  | Atlasiet konkrētu izrunas vārdnīcas versiju pēc tās ID vai atstājiet nenorādītu, lai izmantotu jaunāko versiju. |
| `seed` |  | integer \| null | no |  |  | Sēkla, kas kontrolē nejaušību atkārtojamu rezultātu iegūšanai. |
| `language_code` |  | string \| null | no |  |  | Norādiet nepieciešamo modeļa valodu ar ISO 639-1 kodu; ja modelis šo kodu neatbalsta, pieprasījums neizdodas ar kļūdu. |

## Example input

Required parameters only:

```json
{
  "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"
    }
  ]
}
```

A fuller example:

```json
{
  "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"
    }
  ]
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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"
      }
    ]
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/elevenlabs/text-to-dialogue/eleven-v3?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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"
      }
    ]
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "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",
        },
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/elevenlabs/text-to-dialogue/eleven-v3", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "elevenlabs/text-to-dialogue/eleven-v3",
      "input": {
        "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"
          }
        ]
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "elevenlabs/text-to-dialogue/eleven-v3",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 100,
    "usd": "0.10",
    "charged": 100,
    "refunded": 0
  },
  "input": {
    "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"
      }
    ]
  },
  "output": {
    "audio": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_name": "0-output.mp3",
      "file_size": 1843200
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "audio",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_size": 1843200,
      "duration": 12,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `audio` | object {url, content_type, file_name, file_size} | Ģenerētais audio fails. |
| `seed` | integer | Sēkla, kas kontrolē nejaušību atkārtojamu rezultātu iegūšanai. |

## Related models

- [Eleven v4 Text to Speech](https://doitong.com/developers/models/elevenlabs/tts/eleven-v4.md) (`elevenlabs/tts/eleven-v4`): $0.08 / 1000 characters
- [MiniMax Speech 2.8 HD](https://doitong.com/developers/models/minimax/speech-2.8-hd.md) (`minimax/speech-2.8-hd`): $0.10 / 1000 characters
- [Eleven v4 Turbo](https://doitong.com/developers/models/elevenlabs/tts/eleven-v4-turbo.md) (`elevenlabs/tts/eleven-v4-turbo`): $0.04 / 1000 characters
- [Elevenlabs Tts Eleven V3](https://doitong.com/developers/models/elevenlabs/tts/eleven-v3.md) (`elevenlabs/tts/eleven-v3`): $0.10 / 1000 characters
- [ElevenLabs TTS Multilingual v2](https://doitong.com/developers/models/elevenlabs/tts/multilingual-v2.md) (`elevenlabs/tts/multilingual-v2`): $0.10 / 1000 characters
- [ElevenLabs TTS Turbo v2.5](https://doitong.com/developers/models/elevenlabs/tts/turbo-v2.5.md) (`elevenlabs/tts/turbo-v2.5`): $0.05 / 1000 characters
- [Async Text to Speech Pro V1.0](https://doitong.com/developers/models/async/tts-pro/v1.0.md) (`async/tts-pro/v1.0`): $0.01 / 1000 characters
- [Bytedance Seed Speech Text to Speech](https://doitong.com/developers/models/bytedance/seed-speech/tts/v2.md) (`bytedance/seed-speech/tts/v2`): $0.03 / 1000 characters

## Links

- HTML page: https://doitong.com/developers/models/elevenlabs/text-to-dialogue/eleven-v3
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=elevenlabs/text-to-dialogue/eleven-v3
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/elevenlabs/text-to-dialogue/eleven-v3