# Elevenlabs API

> متن اور وائس ID کے جوڑوں کی فہرست کو متعدد اسپیکروں والے ڈائیلاگ آڈیو ٹریک میں تبدیل کرتا ہے

`inputs` سے بول چالا تیار کرتا ہے؛ یہ لازمی فہرست ہے جس کی ہر اندراج میں متن اور وائس ID کا جوڑا ہوتا ہے۔ آواز کے رویے کو `stability` (0 تا 1) اور `use_speaker_boost` سے بہتر بنایا جا سکتا ہے۔ `language_code` کے ذریعے زبان نافذ کریں اور زیادہ سے زیادہ 3 تلفظی لغت لوکیٹرز لگائیں۔ قابل تکرار نتائج کے لیے `seed` قبول کیا جاتا ہے اور آڈیو کے ساتھ واپس کیا جاتا ہے۔

- 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/ur/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 |  |  | speech کے طور پر synthesize کیے جانے والے dialogue entries، ہر ایک میں text اور voice ID شامل ہے۔ |
| `inputs[].text` |  | string | yes |  |  | dialogue پر مشتمل متن۔ |
| `inputs[].voice` |  | string | yes |  |  | تخلیق کے لیے منتخب کردہ voice name یا ID۔ |
| `stability` |  | number \| null | no |  | 0 – 1 | مختلف بار آواز تیار کرنے پر اس کا استحکام اور تغیر، جو صرف 0.0، 0.5 یا 1.0 ہو سکتا ہے؛ اس مجموعے سے باہر کے ان پٹ کو قریب ترین قابل قبول قدر پر راؤنڈ کر دیا جاتا ہے۔ زیادہ سیٹنگز جذبات کو محدود اور آواز کو یکساں کر سکتی ہیں، جبکہ کم سیٹنگز آواز کے جذباتی تنوع کو بڑھاتی ہیں۔ |
| `use_speaker_boost` |  | boolean \| null | no |  |  | speaker similarity کی بہتری، جو computational load میں معمولی اضافے کے باعث latency بڑھاتی ہے۔ اسے فعال کرنے سے آواز اصل speaker سے زیادہ مشابہ ہو جاتی ہے۔ |
| `pronunciation_dictionary_locators` |  | array of object {pronunciation_dictionary_id, version_id} | no | `[]` |  | زیادہ سے زیادہ 3 pronunciation dictionary locators اس ترتیب سے فراہم کریں جس میں وہ متن پر اثر انداز ہوں۔ ہر locator id اور version_id کے ذریعے ایک dictionary کی شناخت کرتا ہے۔ |
| `pronunciation_dictionary_locators[].pronunciation_dictionary_id` |  | string \| null | no |  |  | pronunciation dictionary کا identifier۔ |
| `pronunciation_dictionary_locators[].version_id` |  | string \| null | no |  |  | ID کے ذریعے مخصوص pronunciation dictionary version منتخب کریں، یا اسے خالی چھوڑیں تاکہ تازہ ترین version استعمال ہو۔ |
| `seed` |  | integer \| null | no |  |  | قابلِ تکرار نتائج کے لیے بے ترتیبی کو کنٹرول کرنے والا سیڈ۔ |
| `language_code` |  | string \| null | no |  |  | مطلوبہ ماڈل کی زبان ISO 639-1 کوڈ سے متعین کریں؛ اگر ماڈل اس کوڈ کو سپورٹ نہ کرے تو درخواست خرابی کے ساتھ ناکام ہو جاتی ہے۔ |

## 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} | تخلیق کے ذریعے تیار ہونے والی آڈیو فائل۔ |
| `seed` | integer | قابلِ تکرار نتائج کے لیے بے ترتیبی کو کنٹرول کرنے والا سیڈ۔ |

## 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