# Sync Lipsync 3 API

> 말하는 동영상의 입술 타이밍을 새 오디오 트랙에 맞게 조정합니다.

Sync Labs의 lipsync-3은 동영상 속 인물의 입 움직임을 새 음성 트랙에 맞게 교체하여 더빙, 광고 현지화 및 후반 작업에서 대사 수정에 사용합니다. 오디오와 동영상 길이가 다르면 잘라내기, 반복, 바운스, 무음 추가 또는 리매핑을 선택할 수 있습니다.

- Model id: `sync-lipsync/v3`
- Made by: Sync Labs
- Category: Lipsync & Avatars
- Output: video
- Price per minute of your output video: $8.00 / minute of output video (cheapest run $8.00 (8000 API credits))
- Run: `POST https://api.doitong.com/v1/run/sync-lipsync/v3`
- Quote: `POST https://api.doitong.com/v1/quote/sync-lipsync/v3`
- Docs page: https://doitong.com/ko/developers/models/sync-lipsync/v3

## Pricing

Price: **$8.00 / minute of output video**. Price per minute of your output 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 $1.334 = 1334 API credits (0.1667 min output video × $8.00).

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/sync-lipsync/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

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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | 입력 동영상을 가리키는 URL입니다. |
| `audio_url` | `audio` | string (audio URL) | yes |  |  | URL로 지정하는 입력 오디오 위치입니다. |
| `sync_mode` |  | enum (string) | no | `cut_off` | `cut_off`, `loop`, `bounce`, `silence`, `remap` | 오디오와 동영상 길이 차이를 처리하는 립싱크 모드입니다. |
| `options` |  | object {sync_mode, model_mode, prompt, temperature, active_speaker_detection, occlusion_detection_enabled} \| null | no |  |  | 여기에서 추가 Sync.so 생성 동작을 구성합니다. 제공된 options.sync_mode가 최상위 sync_mode 값보다 우선합니다. |
| `options.sync_mode` |  | enum (string) \| null | no |  | `cut_off`, `loop`, `bounce`, `silence`, `remap` | 최상위 sync_mode를 재정의하며, 입력 오디오와 동영상의 길이가 다를 때 발생할 일을 지정합니다. |
| `options.model_mode` |  | enum (string) \| null | no |  | `lips`, `face`, `head`, `lipsync`, `emotion`, `talking_head` | 편집 영역 선택이며, 주로 react-1에서 모델이 수정할 영역을 지정합니다. |
| `options.prompt` |  | enum (string) \| null | no |  | `happy`, `sad`, `angry`, `disgusted`, `surprised`, `neutral` | 주로 react-1에서 생성을 유도하는 데 사용하는 감정 지침입니다. |
| `options.temperature` |  | number \| null | no |  | 0 – 1 | sync-3에는 영향을 주지 않는 표현력 설정입니다. sync-3은 이를 자체적으로 처리합니다. 이 설정을 사용하는 모델에서는 0이 가장 표현력이 낮은 립싱크이고 1이 가장 높습니다. |
| `options.active_speaker_detection` |  | object {auto_detect, v3, use_v2, frame_number, coordinates, bounding_boxes, bounding_boxes_url, face_image} \| null | no |  |  | 여러 사람이 포함된 동영상에서 활성 화자를 식별하기 위한 설정입니다. |
| `options.active_speaker_detection.auto_detect` |  | boolean \| null | no |  |  | 활성 화자를 자동으로 식별하고 해당 인물에게 생성을 적용합니다. |
| `options.active_speaker_detection.v3` |  | boolean \| null | no |  |  | v3 활성 화자 감지를 사용합니다. |
| `options.active_speaker_detection.use_v2` |  | boolean \| null | no |  |  | v2 활성 화자 감지를 위한 사용 중단된 설정입니다. |
| `options.active_speaker_detection.frame_number` |  | integer \| null | no |  | ≥ 0 | 화자를 수동으로 선택하는 좌표에 사용할 프레임의 인덱스입니다. |
| `options.active_speaker_detection.coordinates` |  | array of integer \| null | no |  | 2 – 2 items | frame_number의 화자에 대한 [x, y] 형식의 얼굴 기준점입니다. |
| `options.active_speaker_detection.bounding_boxes` |  | array of array of integer \| null | no |  |  | 각 프레임에서 감지된 얼굴 경계 상자이며 [x1, y1, x2, y2] 형식입니다. |
| `options.active_speaker_detection.bounding_boxes_url` |  | string \| null | no |  |  | 각 프레임의 경계 상자를 제공하는 JSON 파일 URL입니다. |
| `options.active_speaker_detection.face_image` |  | string \| null | no |  |  | 화자를 수동으로 선택하는 데 사용하는 Base64 인코딩 얼굴 이미지입니다. |
| `options.occlusion_detection_enabled` |  | boolean \| null | no |  |  | 가림 감지 토글입니다. sync-3에서는 감지가 자동이므로 영향을 주지 않으며, 그 외에는 생성 시 가림 감지를 포함할지 제어합니다. |

File parameters (`video`, `audio`) 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/avatar/talking_avatar_loop.mp4",
  "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

A fuller example:

```json
{
  "video": "https://content.doitong.com/video/showcase/v3/avatar/talking_avatar_loop.mp4",
  "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

## 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/sync-lipsync/v3?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video": "https://content.doitong.com/video/showcase/v3/avatar/talking_avatar_loop.mp4",
    "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }'

# 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/sync-lipsync/v3?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video": "https://content.doitong.com/video/showcase/v3/avatar/talking_avatar_loop.mp4",
    "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }),
});
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": "https://content.doitong.com/video/showcase/v3/avatar/talking_avatar_loop.mp4",
    "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/sync-lipsync/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.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": "sync-lipsync/v3",
      "input": {
        "video": "https://content.doitong.com/video/showcase/v3/avatar/talking_avatar_loop.mp4",
        "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
      },
      "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": "sync-lipsync/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": 1334,
    "usd": "1.334",
    "charged": 1334,
    "refunded": 0
  },
  "input": {
    "video": "https://content.doitong.com/video/showcase/v3/avatar/talking_avatar_loop.mp4",
    "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  },
  "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} | 모델이 생성한 동영상입니다. |

## Related models

- [Sync React-1](https://doitong.com/developers/models/sync-lipsync/react-1.md) (`sync-lipsync/react-1`): $10.00 / minute of output video
- [sync-3 Avatar Image to Video](https://doitong.com/developers/models/sync-lipsync/v3/image-to-video.md) (`sync-lipsync/v3/image-to-video`): $8.00 / minute of input audio
- [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
- [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
- [Sync Lipsync](https://doitong.com/developers/models/sync-lipsync/v2/pro.md) (`sync-lipsync/v2/pro`): $5.00 / minute of output video
- [Sync Lipsync 2.0](https://doitong.com/developers/models/sync-lipsync/v2.md) (`sync-lipsync/v2`): from $3.00 / minute of output video
- [sync.so -- lipsync 1.9.0-beta](https://doitong.com/developers/models/sync-lipsync.md) (`sync-lipsync`): $0.70 / minute of output video
- [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/sync-lipsync/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=sync-lipsync/v3
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/sync-lipsync/v3