# Topaz Denoise Video API

> إزالة ضوضاء الفيديو باستخدام أربعة نماذج Nyx، مع ضبط مستويات الضوضاء والضغط والهالات، ورفع دقة اختياري

ينظف الضوضاء من الفيديو الموجود في `video_url`. يمكن أن يكون `model` هو Nyx أو Nyx Fast أو Nyx XL أو Nyx HF. تضبط قيم `noise` و`compression` و`halo` الاختيارية (من 0 إلى 1) عملية الإزالة بدقة، ويمكن لـ `upscale_factor` (من 1 إلى 4) تكبير الناتج؛ وتحافظ القيمة 1 على دقة المصدر. يبدّل `H264_output` برنامج الترميز الافتراضي H265.

- Model id: `topaz/denoise/video`
- Made by: Topaz Labs
- Category: Video to Video
- Output: video
- Price per second of your input video: from $0.00333 / second of input video (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.com/v1/run/topaz/denoise/video`
- Quote: `POST https://api.doitong.com/v1/quote/topaz/denoise/video`
- Docs page: https://doitong.com/ar/developers/models/topaz/denoise/video

## Pricing

Price: **from $0.00333 / second of input video** (the lowest tier; the quote prices your exact input). 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.

Price by tier:

- Nyx Fast, 720p: $0.00333 / second of input video
- 720p: $0.00667 / second of input video
- Nyx Fast, 720p, frame rate: $0.00667 / second of input video
- Nyx Fast, 1080p: $0.00667 / second of input video
- 720p, frame rate: $0.0133 / second of input video
- 1080p: $0.0133 / second of input video
- Nyx Fast, 1080p, frame rate: $0.0133 / second of input video
- Nyx Fast, 4K: $0.0258 / second of input video
- 1080p, frame rate: $0.0267 / second of input video
- Nyx Fast, above 4K: $0.0459 / second of input video
- 4K: $0.0517 / second of input video
- Nyx Fast, 4K, frame rate: $0.0517 / second of input video
- above 4K: $0.0919 / second of input video
- Nyx Fast, above 4K, frame rate: $0.0919 / second of input video
- 4K, frame rate: $0.1033 / second of input video
- above 4K, frame rate: $0.1837 / second of input video

The full example input below costs $0.10 = 100 API credits (10 s input video × $0.006667 (720p), rounded up to the next $0.10).

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/topaz/denoise/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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | عنوان URL لفيديو المصدر لإزالة الضوضاء. |
| `model` |  | enum (string) | no | `Nyx` | `Nyx`, `Nyx Fast`, `Nyx XL`, `Nyx HF` | اختيار نموذج إزالة التشويش: للضوضاء الشديدة استخدم Nyx XL؛ ولإزالة التشويش الدقيقة الجاهزة لخطوط المعالجة دون رفع الدقة استخدم Nyx HF. يعطي Nyx الأولوية للجودة والاحتفاظ بالخامات، بينما يفضّل Nyx Fast السرعة على الجودة للمعالجة ذات الحجم الكبير. |
| `upscale_factor` |  | number | no | `1` | 1 – 4 | مضاعف دقة اختياري إلى جانب إزالة التشويش، حيث يترك 1.0 أبعاد المصدر دون تغيير بدلًا من رفع الدقة. |
| `noise` |  | number \| null | no |  | 0 – 1 | قوة تقليل الضوضاء، من 0.0 إلى 1.0. يحدد النموذج القيمة الافتراضية. |
| `compression` |  | number \| null | no |  | 0 – 1 | قوة إزالة تشوهات الضغط، من 0.0 إلى 1.0. يحدد النموذج القيمة الافتراضية. |
| `halo` |  | number \| null | no |  | 0 – 1 | قوة تقليل الهالات، من 0.0 إلى 1.0. يحدد النموذج القيمة الافتراضية. |
| `H264_output` |  | boolean | no | `false` |  | يتحكم فيما إذا كان فيديو المخرج يستخدم ترميز H264 بدلًا من H265 الافتراضي. |

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/topaz/denoise/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"
  }'

# 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/topaz/denoise/video?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/topaz/denoise/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": "topaz/denoise/video",
      "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": "topaz/denoise/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": 100,
    "usd": "0.10",
    "charged": 100,
    "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} | ملف فيديو أُنتج عبر رفع الدقة. |

## Related models

- [Topaz Denoise Image](https://doitong.com/developers/models/topaz/denoise/image.md) (`topaz/denoise/image`): $0.08 / run of output image
- [Topaz Deblur Video](https://doitong.com/developers/models/topaz/deblur/video.md) (`topaz/deblur/video`): from $0.00667 / second of input video
- [Topaz Interpolate Video](https://doitong.com/developers/models/topaz/interpolate/video.md) (`topaz/interpolate/video`): from $0.001 / frame of output video
- [Topaz Sdr To Hdr Video](https://doitong.com/developers/models/topaz/sdr-to-hdr/video.md) (`topaz/sdr-to-hdr/video`): from $0.2317 / second of input video
- [AMT Interpolation](https://doitong.com/developers/models/amt-interpolation.md) (`amt-interpolation`): $0.000575 / second of processing time
- [AnimateDiff Turbo · Video to Video](https://doitong.com/developers/models/fast-animatediff/turbo/video-to-video.md) (`fast-animatediff/turbo/video-to-video`): $0.00125 / second of processing time
- [AnimateDiff · Video to Video](https://doitong.com/developers/models/fast-animatediff/video-to-video.md) (`fast-animatediff/video-to-video`): $0.00125 / second of processing time
- [Auto-Captioner](https://doitong.com/developers/models/auto-caption.md) (`auto-caption`): $0.10 / video

## Links

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