# Kling Video v3 Text to Video [Standard] API

> متعدد شاٹس کے اسٹوری بورڈز، مقامی آڈیو اور CFG کنٹرول کے ساتھ Standard v3 متن-سے-ویڈیو

`prompt` یا `multi_prompt` فہرست سے ویڈیو بناتا ہے جو کلپ کو شاٹس میں تقسیم کرتی ہے۔ `duration` 3 سے 15 سیکنڈ اور `aspect_ratio` 16:9، 9:16 یا 1:1 ہے۔ مقامی آڈیو بطور ڈیفالٹ فعال ہے، اور `negative_prompt` و `cfg_scale` (0 سے 1) دستیاب ہیں۔ `shot_type` کو customize یا intelligent کیا جا سکتا ہے۔

- Model id: `kling-video/v3/standard/text-to-video`
- Made by: Kling
- Category: Text to Video
- Output: video
- Price: from $0.084 / second (5 s ≈ $0.42) (cheapest run $0.42 (420 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-video/v3/standard/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-video/v3/standard/text-to-video`
- Docs page: https://doitong.com/ur/developers/models/kling-video/v3/standard/text-to-video

## Pricing

Price: **from $0.084 / second (5 s ≈ $0.42)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 5).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `elements` is set and `generate_audio` = true: $0.154 (154 API credits) / second
- When `generate_audio` = true: $0.126 (126 API credits) / second

The full example input below costs $0.63 = 630 API credits (5 s × 126 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/kling-video/v3/standard/text-to-video` 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 |
|---|---|---|---|---|---|---|
| `enable_safety_checker` |  | boolean | no | `true` |  | حفاظتی جانچ صرف اکاؤنٹ کی اجازت کے ساتھ غیر فعال کی جا سکتی ہے؛ بغیر اجازت کی درخواستوں کی ہمیشہ جانچ ہوتی ہے۔ |
| `prompt` |  | string \| null | no |  | ≤ 2500 characters | ویڈیو تخلیق کرنے کے لیے متنی ہدایات۔ `prompt` یا multi_prompt میں سے بالکل ایک فراہم کریں۔ |
| `duration` |  | enum (string) | no | `5` | `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | آؤٹ پٹ ویڈیو کی لمبائی، سیکنڈ میں۔ |
| `multi_prompt` |  | array of object {prompt, duration} \| null | no |  |  | ہر shot کے پرامپٹس اور دورانیے؛ فراہم کیے جانے پر یہ single پرامپٹ کی جگہ لے کر ویڈیو کو متعدد shots میں تقسیم کرتے ہیں۔ |
| `multi_prompt[].prompt` |  | string | yes |  |  | موجودہ shot کے لیے متنی ہدایات۔ |
| `multi_prompt[].duration` |  | enum (string) | no | `5` | `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | موجودہ shot کی لمبائی، سیکنڈ میں۔ |
| `generate_audio` |  | boolean | no | `true` |  | Native ویڈیو آڈیو تخلیق ٹوگل، جو چینی یا انگریزی آوازوں کو سپورٹ کرتا ہے اور کسی بھی دوسری زبان کو خودکار طور پر انگریزی میں ترجمہ کرتا ہے۔ انگریزی گفتار کے لیے acronyms اور proper nouns بڑے حروف میں، جبکہ باقی سب چھوٹے حروف میں لکھیں۔ |
| `shot_type` |  | enum (string) | no | `customize` | `customize`, `intelligent` | منتخب کریں کہ multi-shot تخلیق اپنے shots کی منصوبہ بندی کیسے کرے؛ 'intelligent' منتخب کرنے پر shot کا ڈھانچہ ماڈل کے سپرد کیا جاتا ہے۔ |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | آؤٹ پٹ ویڈیو کے فریموں کے لیے چوڑائی اور اونچائی کا تناسب۔ |
| `negative_prompt` |  | string | no | `blur, distort, and low quality` | ≤ 2500 characters |  |
| `cfg_scale` |  | number | no | `0.5` | 0 – 1 | CFG کے ذریعے متعین کریں کہ تخلیق آپ کے پرامپٹ کی کتنی قریب سے پیروی کرے؛ CFG کا مطلب Classifier Free Guidance ہے۔ |

## Example input

Required parameters only:

```json
{}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/kling-video/v3/standard/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/kling-video/v3/standard/text-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/v3/standard/text-to-video", 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": "kling-video/v3/standard/text-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "kling-video/v3/standard/text-to-video",
  "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": 630,
    "usd": "0.63",
    "charged": 630,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | ماڈل کی تیار کردہ ویڈیو۔ |

## Related models

- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second
- [Kling Video V3 Text to Video 4K](https://doitong.com/developers/models/kling-video/v3/4k/text-to-video.md) (`kling-video/v3/4k/text-to-video`): $0.42 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [Kling Video v3 Image to Video \[Standard\]](https://doitong.com/developers/models/kling-video/v3/standard/image-to-video.md) (`kling-video/v3/standard/image-to-video`): from $0.084 / second
- [Kling Video · v3 · 4k · Image to Video](https://doitong.com/developers/models/kling-video/v3/4k/image-to-video.md) (`kling-video/v3/4k/image-to-video`): $0.42 / second
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/kling-video/v3/standard/text-to-video
- 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=kling-video/v3/standard/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-video/v3/standard/text-to-video