# Maya · Batch API

> Maya آواز کا بیچ ورژن، جو مماثل آواز کی وضاحتوں کے ساتھ زیادہ سے زیادہ 100 متن رینڈر کرتا ہے

ایک درخواست میں متعدد کلپس بناتا ہے۔ `texts` اور `prompts` میں ہر ایک 1 سے 100 اندراجات لے سکتا ہے اور دونوں کی لمبائی یکساں ہونی چاہیے، تاکہ ہر متن کو آواز کی وضاحت کے ساتھ جوڑا جائے۔ جذباتی ٹیگز ہر متن میں کام کرتے ہیں۔ سیمپل ریٹ، آؤٹ پٹ فارمیٹ اور temperature جیسی ترتیبات سب پر لاگو ہوتی ہیں، اور نتائج میں آڈیو فائلوں اور دورانیوں کی فہرست شامل ہوتی ہے۔

- Model id: `maya/batch`
- Made by: Maya Research
- Category: Text to Speech
- Output: audio
- Estimated price per run: $0.049 / run (cheapest run $0.049 (49 API credits))
- Run: `POST https://api.doitong.ru/v1/run/maya/batch`
- Quote: `POST https://api.doitong.ru/v1/quote/maya/batch`
- Docs page: https://doitong.com/ur/developers/models/maya/batch

## Pricing

Price: **$0.049 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.049 = 49 API credits (1 request × 49 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/maya/batch` 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 |
|---|---|---|---|---|---|---|
| `texts` |  | array of string | yes |  | 1 – 100 items | Speech synthesis متنوں کی فہرست، جس کی ہر entry میں <emotion_name> tags شامل کیے جا سکتے ہیں۔ |
| `prompts` |  | array of string | yes |  | 1 – 100 items | ہر متن کے لیے آواز یا کردار کی خصوصیات، descriptions کی فہرست کے طور پر۔ descriptions کی تعداد متنوں کی تعداد کے برابر ہونی چاہیے۔ |
| `temperature` |  | number | no | `0.4` | 0 – 2 | ہر تخلیق پر لاگو ہونے والی sampling temperature۔ |
| `top_p` |  | number | no | `0.9` | 0 – 1 | ہر تخلیق پر لاگو ہونے والی nucleus sampling setting۔ |
| `max_tokens` |  | integer | no | `2000` | 28 – 4,000 | ہر تخلیق کے لیے SNAC ٹوکن کی بالائی حد۔ |
| `repetition_penalty` |  | number | no | `1.1` | 1 – 2 | ہر تخلیق پر لاگو ہونے والی repetition penalty۔ |
| `sample_rate` |  | enum (string) | no | `48 kHz` | `48 kHz`, `24 kHz` | ہر تخلیق کے لیے مشترکہ آڈیو sample-rate setting: 24 kHz پر تیز processing یا 48 kHz پر بہتر معیار۔ |
| `output_format` |  | enum (string) | no | `wav` | `wav`, `mp3` | ہر تخلیق کردہ speech recording کے لیے فائل format۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | false سیٹ کر کے اسکریننگ نرم کی جا سکتی ہے، بشرطیکہ کال کرنے والا مجاز ہو۔ |

## Example input

Required parameters only:

```json
{
  "texts": [
    "Hello from Doitong. This is a short test sentence."
  ],
  "prompts": [
    "Hello from Doitong. This is a short test sentence."
  ]
}
```

A fuller example:

```json
{
  "texts": [
    "Hello from Doitong. This is a short test sentence."
  ],
  "prompts": [
    "Hello from Doitong. This is a short test sentence."
  ]
}
```

## 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/maya/batch?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "texts": [
      "Hello from Doitong. This is a short test sentence."
    ],
    "prompts": [
      "Hello from Doitong. This is a short test sentence."
    ]
  }'

# 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/maya/batch?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "texts": [
      "Hello from Doitong. This is a short test sentence."
    ],
    "prompts": [
      "Hello from Doitong. This is a short test sentence."
    ]
  }),
});
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 = {
    "texts": [
        "Hello from Doitong. This is a short test sentence.",
    ],
    "prompts": [
        "Hello from Doitong. This is a short test sentence.",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/maya/batch", 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": "maya/batch",
      "input": {
        "texts": [
          "Hello from Doitong. This is a short test sentence."
        ],
        "prompts": [
          "Hello from Doitong. This is a short test sentence."
        ]
      },
      "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": "maya/batch",
  "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": 49,
    "usd": "0.049",
    "charged": 49,
    "refunded": 0
  },
  "input": {
    "texts": [
      "Hello from Doitong. This is a short test sentence."
    ],
    "prompts": [
      "Hello from Doitong. This is a short test sentence."
    ]
  },
  "output": {
    "audios": [
      {
        "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
      }
    ],
    "durations": [
      5
    ],
    "sample_rate": "48 kHz",
    "total_generation_time": 5.7,
    "average_rtf": 0.15
  },
  "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 |
|---|---|---|
| `audios` | array of object {url, content_type, file_name, file_size} | تخلیق کردہ آڈیو فائل، فہرست کے طور پر واپس کی جاتی ہیں۔ |
| `durations` | array of number | ہر تخلیق کردہ آڈیو recording کی لمبائی، سیکنڈ میں۔ |
| `sample_rate` | string | تمام تخلیق کردہ آڈیو فائل کے لیے مشترکہ sampling rate۔ |
| `total_generation_time` | number | تمام آڈیو فائل کے لیے مجموعی تخلیق کا وقت، سیکنڈ میں۔ |
| `average_rtf` | number | تمام تخلیقات کا اوسط real-time factor۔ |

## Related models

- [Maya · Stream](https://doitong.com/developers/models/maya/stream.md) (`maya/stream`): $0.049 / run
- [Maya1](https://doitong.com/developers/models/maya.md) (`maya`): $0.049 / run
- [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
- [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
- [Chatterbox · Speech to Speech](https://doitong.com/developers/models/chatterbox/speech-to-speech.md) (`chatterbox/speech-to-speech`): $0.015 / minute of input audio
- [Chatterbox · Text to Speech](https://doitong.com/developers/models/chatterbox/text-to-speech.md) (`chatterbox/text-to-speech`): $0.025 / 1000 characters

## Links

- HTML page: https://doitong.com/developers/models/maya/batch
- 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=maya/batch
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/maya/batch