# Pixelcut Video Background Removal API

> 비디오의 배경을 제거하고 다양한 형식으로 투명 배경 또는 단색 배경으로 내보내기

`video_url`의 비디오에서 프레임별로 배경을 제거합니다. `background` 옵션은 transparent, black, white, green, blue, magenta 또는 `background_color`를 사용하는 custom일 수 있습니다. `output_format`은 webm, mp4, mov, mkv 및 gif 변형을 지원하며, 투명 배경에서는 기본값이 webm_vp9입니다.

- Model id: `pixelcut/video-background-removal`
- Made by: Pixelcut
- Category: Background Removal
- Output: video
- Price per 30 frames of your input video: $0.022 / 30 frames of input video (cheapest run $0.022 (22 API credits))
- Run: `POST https://api.doitong.com/v1/run/pixelcut/video-background-removal`
- Quote: `POST https://api.doitong.com/v1/quote/pixelcut/video-background-removal`
- Docs page: https://doitong.com/ko/developers/models/pixelcut/video-background-removal

## Pricing

Price: **$0.022 / 30 frames of input video**. Price per 30 frames 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 $0.22 = 220 API credits (10 × 30 frames input video × $0.022).

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/pixelcut/video-background-removal` 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. |
| `background` |  | enum (string) | no | `transparent` | `transparent`, `black`, `white`, `green`, `blue`, `magenta`, `custom` | 출력 배경: 'transparent', 사전 설정 색상 이름 또는 background_color 선택기로 지정한 색상에 해당하는 'custom'입니다. |
| `background_color` |  | object {r, g, b} | no |  |  | 사용자 지정 배경의 단색입니다. 배경 선택이 'custom'인 경우에만 적용됩니다. |
| `background_color.r` |  | integer | no | `0` | 0 – 255 |  |
| `background_color.g` |  | integer | no | `0` | 0 – 255 |  |
| `background_color.b` |  | integer | no | `0` | 0 – 255 |  |
| `output_format` |  | enum (string) \| null | no |  | `webm_vp9`, `mp4_h264`, `mp4_h265`, `mov_proresks`, `mov_h265`, `mkv_h264`, `mkv_h265`, `mkv_vp9`, `gif` | 출력 동영상 형식 재정의입니다. 명시적으로 선택하지 않으면 자동 감지가 적용되며, 투명도에는 기본적으로 webm_vp9가 사용됩니다. |

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"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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/pixelcut/video-background-removal?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"
  }'

# 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/pixelcut/video-background-removal?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/pixelcut/video-background-removal", 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": "pixelcut/video-background-removal",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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": "pixelcut/video-background-removal",
  "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": 220,
    "usd": "0.22",
    "charged": 220,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "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 동영상 파일입니다. |

## Related models

- [Pixelcut Product Photo](https://doitong.com/developers/models/pixelcut/product-photo.md) (`pixelcut/product-photo`): $0.024 / image
- [Pixelcut Looping Video](https://doitong.com/developers/models/pixelcut/looping-video.md) (`pixelcut/looping-video`): from $0.08 / second
- [Pixelcut Background Remover](https://doitong.com/developers/models/pixelcut/background-removal.md) (`pixelcut/background-removal`): $0.016 / image
- [BiRefNet V2 Background Removal](https://doitong.com/developers/models/birefnet/v2.md) (`birefnet/v2`): $0.002 / run
- [Bria RMBG 2.0](https://doitong.com/developers/models/bria/background/remove.md) (`bria/background/remove`): from $0.018 / request
- [ben-v2-image](https://doitong.com/developers/models/ben/v2/image.md) (`ben/v2/image`): $0.102 / run
- [Ben-Video-Bg-Rm](https://doitong.com/developers/models/ben/v2/video.md) (`ben/v2/video`): $0.001 / megapixel of input video
- [Birefnet](https://doitong.com/developers/models/birefnet/v2/video.md) (`birefnet/v2/video`): $0.000575 / second of processing time

## Links

- HTML page: https://doitong.com/developers/models/pixelcut/video-background-removal
- 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=pixelcut/video-background-removal
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/pixelcut/video-background-removal