# Kling LipSync Text-to-Video API

> فردی در ویدیو را با متن تایپ‌شده و صدای مصنوعی قابل‌انتخاب به صحبت‌کردن وادار می‌کند؛ سرعت قابل تنظیم است

گفتار هماهنگ با حرکت لب را به‌جای فایل صوتی از متن تولید می‌کند. `video_url`، متنی با حداکثر 120 نویسه در `text` و یک `voice_id` از فهرست صداهای ازپیش‌تنظیم‌شده ارائه کنید. مقدار `voice_language` یا zh است یا en و `voice_speed` از 0.8 تا 2 متغیر است. ویدیوی منبع می‌تواند .mp4 یا .mov، حداکثر 100MB، به طول 2 تا 60 ثانیه و با کیفیت 720p یا 1080p باشد.

- Model id: `kling-video/lipsync/text-to-video`
- Made by: Kling
- Category: Lipsync & Avatars
- Output: video
- Price per second of your input video: $0.014 / second of input video (cheapest run $0.014 (14 API credits))
- Run: `POST https://api.doitong.com/v1/run/kling-video/lipsync/text-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/kling-video/lipsync/text-to-video`
- Docs page: https://doitong.com/fa/developers/models/kling-video/lipsync/text-to-video

## Pricing

Price: **$0.014 / second of input video**. Price per second of your input video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.14 = 140 API credits (10 s input video × $0.014).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/kling-video/lipsync/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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `enable_safety_checker` |  | boolean | no | `true` |  | بررسی‌های ایمنی فقط با مجوز حساب قابل غیرفعال‌سازی هستند؛ درخواست‌های بدون مجوز همیشه بررسی می‌شوند. |
| `video_url` | `video` | string (video URL) | yes |  |  | URL ویدیو برای تولید همگام‌سازی لب. فایل‌های .mp4 یا .mov حداکثر تا 100MB، با طول 2–60s و فقط با وضوح 720p یا 1080p پذیرفته می‌شوند؛ هر دو بُعد باید بین 720–1920px باشند. در صورت شکست اعتبارسنجی، خطا برگردانده می‌شود. |
| `text` |  | string | yes |  | ≤ 120 characters | متن استفاده‌شده برای تولید ویدیوی همگام‌سازی لب، با محدودیت 120 نویسه. |
| `voice_id` |  | enum (string) | yes |  | `genshin_vindi2`, `zhinen_xuesheng`, `AOT`, `ai_shatang`, `genshin_klee2`, `genshin_kirara`, `ai_kaiya`, `oversea_male1`, `ai_chenjiahao_712`, `girlfriend_4_speech02`, `chat1_female_new-3`, `chat_0407_5-1`, `cartoon-boy-07`, `uk_boy1`, `cartoon-girl-01`, `PeppaPig_platform`, `ai_huangzhong_712`, `ai_huangyaoshi_712`, `ai_laoguowang_712`, `chengshu_jiejie`, `you_pingjing`, `calm_story1`, `uk_man2`, `laopopo_speech02`, `heainainai_speech02`, `reader_en_m-v1`, `commercial_lady_en_f-v1`, `tiyuxi_xuedi`, `tiexin_nanyou`, `girlfriend_1_speech02`, `girlfriend_2_speech02`, `zhuxi_speech02`, `uk_oldman3`, `dongbeilaotie_speech02`, `chongqingxiaohuo_speech02`, `chuanmeizi_speech02`, `chaoshandashu_speech02`, `ai_taiwan_man2_speech02`, `xianzhanggui_speech02`, `tianjinjiejie_speech02`, `diyinnansang_DB_CN_M_04-v2`, `yizhipiannan-v1`, `guanxiaofang-v2`, `tianmeixuemei-v1`, `daopianyansang-v1`, `mengwa-v1` | شناسه صدای استفاده‌شده برای تبدیل متن به گفتار. |
| `voice_language` |  | enum (string) | no | `en` | `zh`, `en` | زبان مرتبط با Voice ID انتخاب‌شده. |
| `voice_speed` |  | number | no | `1` | 0.8 – 2 | سرعت گفتار هنگام تولید ویدیو از متن. |

File parameters (`video`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "voice_id": "genshin_vindi2"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "voice_id": "genshin_vindi2"
}
```

## 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.com/v1/run/kling-video/lipsync/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice_id": "genshin_vindi2"
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.com/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/lipsync/text-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice_id": "genshin_vindi2"
  }),
});
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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice_id": "genshin_vindi2",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/lipsync/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.com/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/lipsync/text-to-video",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
        "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "voice_id": "genshin_vindi2"
      },
      "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/lipsync/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": 140,
    "usd": "0.14",
    "charged": 140,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice_id": "genshin_vindi2"
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | ویدیوی تولیدشده توسط مدل. |

## Related models

- [Kling LipSync Audio-to-Video](https://doitong.com/developers/models/kling-video/lipsync/audio-to-video.md) (`kling-video/lipsync/audio-to-video`): $0.014 / second of input video
- [Kling AI Avatar 2.0 Pro](https://doitong.com/developers/models/kling-video/ai-avatar/v2/pro.md) (`kling-video/ai-avatar/v2/pro`): $0.115 / second of input audio
- [Sync Lipsync 3](https://doitong.com/developers/models/sync-lipsync/v3.md) (`sync-lipsync/v3`): $8.00 / minute of output video
- [VEED Fabric 1.0](https://doitong.com/developers/models/veed/fabric-1.0.md) (`veed/fabric-1.0`): from $0.08 / second of input audio
- [Kling AI Avatar](https://doitong.com/developers/models/kling-video/v1/standard/ai-avatar.md) (`kling-video/v1/standard/ai-avatar`): $0.0562 / second of input audio
- [Kling AI Avatar Pro](https://doitong.com/developers/models/kling-video/v1/pro/ai-avatar.md) (`kling-video/v1/pro/ai-avatar`): $0.115 / second of input audio
- [Kling AI Avatar v2 Standard](https://doitong.com/developers/models/kling-video/ai-avatar/v2/standard.md) (`kling-video/ai-avatar/v2/standard`): $0.0562 / second of input audio
- [AI Avatar Multi](https://doitong.com/developers/models/ai-avatar/multi.md) (`ai-avatar/multi`): from $0.20 / second of output video

## Links

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