# Sam 3 · Video RLE API

> Maske URL'siyle başlatma, kare dizini denetimi ve daha düşük algılama eşiği tabanıyla video segmentasyonu

Videoyu SAM 3 ile segmentlere ayırır; `frame_index` konumunda uygulanan metin `prompt`u, nokta veya kutu istemleri ya da `mask_url` içindeki başlangıç maskesi kullanılır. `detection_threshold` 0.01 ile 1 arasındadır; metin istemleri başarısız olduğunda 0.2 ile 0.3 gibi daha düşük değerler yardımcı olabilir. `boundingbox_zip` ile kare başına sınırlayıcı kutu zip'i döndürebilir.

- Model id: `sam-3/video-rle`
- Made by: Meta
- Category: Video to Video
- Output: video
- Price per 16 frames of your input video: $0.005 / 16 frames of input video (cheapest run $0.005 (5 API credits))
- Run: `POST https://api.doitong.com/v1/run/sam-3/video-rle`
- Quote: `POST https://api.doitong.com/v1/quote/sam-3/video-rle`
- Docs page: https://doitong.com/tr/developers/models/sam-3/video-rle

## Pricing

Price: **$0.005 / 16 frames of input video**. Price per 16 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 $0.095 = 95 API credits (19 × 16 frames input video × $0.005).

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/sam-3/video-rle` 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 |  |  | Segmentasyon için video URL'si. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | İlk uygulama için maske URL'si. |
| `prompt` |  | string | no | `` |  | 'person, cloth' gibi virgülle ayrılmış açıklamalar üzerinden birden fazla izlenen nesneyi destekleyen segmentasyon istemi. |
| `point_prompts` |  | array of object {x, y, label, object_id, frame_index} | no | `[]` |  | Kare dizinlerini belirten nokta istemi listesi. |
| `point_prompts[].x` |  | integer \| null | no |  |  | İstemin X ekseni üzerindeki konumu. |
| `point_prompts[].y` |  | integer \| null | no |  |  | İstemin Y ekseni üzerindeki konumu. |
| `point_prompts[].label` |  | enum (integer) \| null | no |  | `0`, `1` | Ön plan/arka plan etiketi: 1 ön planı, 0 arka planı belirtir. |
| `point_prompts[].object_id` |  | integer \| null | no |  |  | Tek bir nesneyi iyileştiren istemleri gruplandıran isteğe bağlı tanımlayıcı. Metin de istem olarak sağlanırsa bu tanımlayıcı, noktaların hangi algılanan nesneyi iyileştireceğini belirler. |
| `point_prompts[].frame_index` |  | integer \| null | no |  |  | Etkileşim için kareyi tanımlayan dizin. |
| `box_prompts` |  | array of object {x_min, y_min, x_max, y_max, object_id, frame_index} | no | `[]` |  | Her girdi için isteğe bağlı bir frame_index içeren kutu istemi listesi. |
| `box_prompts[].x_min` |  | integer \| null | no |  |  | Kutunun minimum x koordinatı. |
| `box_prompts[].y_min` |  | integer \| null | no |  |  | Kutunun minimum y koordinatı. |
| `box_prompts[].x_max` |  | integer \| null | no |  |  | Kutu için maksimum X koordinatı. |
| `box_prompts[].y_max` |  | integer \| null | no |  |  | Kutu için maksimum Y koordinatı. |
| `box_prompts[].object_id` |  | integer \| null | no |  |  | Tek bir nesneyi iyileştiren kutuları gruplandıran isteğe bağlı tanımlayıcı. |
| `box_prompts[].frame_index` |  | integer \| null | no |  |  | Etkileşim için kareyi tanımlayan dizin. |
| `apply_mask` |  | boolean | no | `false` |  | Videoya maskeleme uygulanıp uygulanmayacağı. |
| `boundingbox_zip` |  | boolean | no | `false` |  | Her kare için sınırlayıcı kutu bindirmelerini içeren bir ZIP arşivinin döndürülüp döndürülmeyeceği. |
| `detection_threshold` |  | number | no | `0.5` | 0.01 – 1 | Mevcut nesneler için varsayılanı 0.5, yeni nesneler için 0.7 olan algılama güven eşiği. 0.0–1.0 aralığında daha küçük değerler, daha fazla algılama karşılığında kesinlikten ödün verir; metin istemleri başarısız olduğunda 0.2–0.3 deneyin. |
| `frame_index` |  | integer | no | `0` |  | mask_url sağlandığında ilk etkileşim için karenin dizini. |

File parameters (`video`, `mask`) 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/sam-3/video-rle?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/sam-3/video-rle?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/sam-3/video-rle", 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": "sam-3/video-rle",
      "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": "sam-3/video-rle",
  "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": 95,
    "usd": "0.095",
    "charged": 95,
    "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
    },
    "boundingbox_frames_zip": {
      "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} | Segmentasyon tarafından üretilen video. |
| `boundingbox_frames_zip` | object {url, content_type, file_name, file_size} \| null | Her kare için sınırlayıcı kutu bindirmelerinin ZIP arşivi. |

## Related models

- [Sam 3 · Image RLE](https://doitong.com/developers/models/sam-3/image-rle.md) (`sam-3/image-rle`): $0.005 / run
- [Segment Anything Model 3](https://doitong.com/developers/models/sam-3/image.md) (`sam-3/image`): $0.005 / run
- [Sam 3 · Video](https://doitong.com/developers/models/sam-3/video.md) (`sam-3/video`): $0.005 / 16 frames of input video
- [Sam 3 · 3D Body](https://doitong.com/developers/models/sam-3/3d-body.md) (`sam-3/3d-body`): $0.02 / run
- [Sam 3 · 3D Objects](https://doitong.com/developers/models/sam-3/3d-objects.md) (`sam-3/3d-objects`): $0.02 / run
- [Sam 3 · 3D Align](https://doitong.com/developers/models/sam-3/3d-align.md) (`sam-3/3d-align`): $0.02 / run
- [Sam 3 · Image · Embed](https://doitong.com/developers/models/sam-3/image/embed.md) (`sam-3/image/embed`): $0.005 / run
- [Sam 3 1 · Video](https://doitong.com/developers/models/sam-3-1/video.md) (`sam-3-1/video`): $0.01 / 16 frames of input video

## Links

- HTML page: https://doitong.com/developers/models/sam-3/video-rle
- 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=sam-3/video-rle
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/sam-3/video-rle