# Elevenlabs API

> Μετατρέπει λίστα ζευγών κειμένου και voice ID σε ηχητικό διάλογο πολλών ομιλητών

Δημιουργεί προφορικό διάλογο από το `inputs`, μια απαιτούμενη λίστα όπου κάθε καταχώριση συνδυάζει κείμενο με voice ID. Η συμπεριφορά της φωνής ρυθμίζεται με `stability` (0 έως 1) και `use_speaker_boost`. Μπορείτε να επιβάλετε γλώσσα με `language_code` και να εφαρμόσετε έως 3 δείκτες λεξικών προφοράς. Για αναπαραγωγιμότητα γίνεται δεκτό `seed`, το οποίο επιστρέφεται μαζί με τον ήχο.

- 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/el/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 |  |  | Καταχωρίσεις διαλόγου προς σύνθεση ως ομιλία, καθεμία με αντιστοίχιση κειμένου και ID φωνής. |
| `inputs[].text` |  | string | yes |  |  | Κείμενο που περιέχει τον διάλογο. |
| `inputs[].voice` |  | string | yes |  |  | Όνομα ή ID φωνής που επιλέχθηκε για την παραγωγή. |
| `stability` |  | number \| null | no |  | 0 – 1 | Σταθερότητα και ποικιλία φωνής μεταξύ παραγωγών, περιορισμένες σε 0.0, 0.5 ή 1.0· οι τιμές εκτός αυτού του συνόλου στρογγυλοποιούνται στην πλησιέστερη αποδεκτή τιμή. Υψηλότερες ρυθμίσεις μπορούν να περιορίσουν το συναίσθημα και να κάνουν τη φωνή μονότονη, ενώ χαμηλότερες διευρύνουν το συναισθηματικό εύρος της φωνής. |
| `use_speaker_boost` |  | boolean \| null | no |  |  | Βελτίωση ομοιότητας ομιλητή που αυξάνει την καθυστέρηση λόγω ελαφρώς υψηλότερου υπολογιστικού φόρτου. Η ενεργοποίησή της κάνει τη φωνή να μοιάζει περισσότερο με τον αρχικό ομιλητή. |
| `pronunciation_dictionary_locators` |  | array of object {pronunciation_dictionary_id, version_id} | no | `[]` |  | Παρέχετε έως 3 εντοπιστές λεξικών προφοράς με τη σειρά με την οποία πρέπει να επηρεάζουν το κείμενο. Κάθε εντοπιστής προσδιορίζει ένα λεξικό μέσω των id και version_id. |
| `pronunciation_dictionary_locators[].pronunciation_dictionary_id` |  | string \| null | no |  |  | Αναγνωριστικό του λεξικού προφοράς. |
| `pronunciation_dictionary_locators[].version_id` |  | string \| null | no |  |  | Επιλέξτε μια συγκεκριμένη έκδοση λεξικού προφοράς μέσω του ID της ή αφήστε το μη ορισμένο για χρήση της πιο πρόσφατης έκδοσης. |
| `seed` |  | integer \| null | no |  |  | Seed που ελέγχει την τυχαιότητα για αναπαραγώγιμα αποτελέσματα. |
| `language_code` |  | string \| null | no |  |  | Καθορίστε την απαιτούμενη γλώσσα του μοντέλου με κωδικό ISO 639-1· το αίτημα αποτυγχάνει με σφάλμα εκτός αν το μοντέλο υποστηρίζει αυτόν τον κωδικό. |

## 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} | Αρχείο ήχου που παράγεται από την παραγωγή. |
| `seed` | integer | Seed που ελέγχει την τυχαιότητα για αναπαραγώγιμα αποτελέσματα. |

## 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