# VEED Clean Audio API

> 语音降噪模型，可清理嘈杂录音或视频音轨并标准化响度

移除语音录音中的背景噪声。`audio_url` 接受 ffmpeg 可以解码的任何音频或视频格式。`strength`（0-1）设置语音下方的抑制强度，`target_lufs`（-40 到 -8）设置输出响度，也可以跳过。输出为 48 kHz 单声道 16-bit，格式为 flac 或 wav，时长与输入相同。

- Model id: `veed/clean-audio`
- Made by: VEED
- Category: Audio
- Output: audio
- Price per minute of your input audio: $0.0125 / minute of input audio (cheapest run $0.013 (13 API credits))
- Run: `POST https://api.doitong.com/v1/run/veed/clean-audio`
- Quote: `POST https://api.doitong.com/v1/quote/veed/clean-audio`
- Docs page: https://doitong.com/zh-CN/developers/models/veed/clean-audio

## Pricing

Price: **$0.0125 / minute of input audio**. Price per minute of your input audio: 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 $0.013 = 13 API credits (1 min input audio × $0.0125).

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/veed/clean-audio` 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 |
|---|---|---|---|---|---|---|
| `audio_url` | `audio` | string (audio URL) | yes |  |  | 通过公共 URL 或 data URI 提供的待清理录音，接受 ffmpeg 可解码的任何音频或视频，包括 wav、ogg、mp3、webm、m4a、mov、aac 和 mp4。对于视频，处理使用音频轨道；调用 /video 可接收带清理后音频的视频，多声道录音会下混为单声道。最长时长为 30 分钟，大小上限为 512 MB。 |
| `strength` |  | number | no | `0.874` | 0 – 1 | 语音背景抑制强度：较低设置会保留更多人声下方的环境声，但无论设置如何，词语之间的停顿都会被完全清理。剩余原始声音的下限为 1 减去 strength；默认值 0.874 对应经过验证的 -18 dB 设置。 |
| `target_lufs` |  | number \| null | no | `-19` | -40 – -8 | 符合 ITU-R BS.1770 的综合输出响度目标；通过 API 提供 null 可绕过标准化并保留源电平。否则默认值为 -19 LUFS，与 VEED 编辑器输出一致，true-peak 上限为 -1.1 dBTP。 |
| `output_format` |  | enum (string) | no | `flac` | `flac`, `wav` | 音频容器选择：FLAC 保持无损质量，文件大小约为 WAV 的一半。输出为单声道、48 kHz、16 位采样。 |

File parameters (`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
{
  "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

A fuller example:

```json
{
  "audio_url": "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/veed/clean-audio?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "audio_url": "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/veed/clean-audio?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "audio_url": "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 = {
    "audio_url": "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/veed/clean-audio", 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": "veed/clean-audio",
      "input": {
        "audio_url": "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": "veed/clean-audio",
  "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": 13,
    "usd": "0.013",
    "charged": 13,
    "refunded": 0
  },
  "input": {
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  },
  "output": {
    "audio": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_name": "0-output.mp3",
      "file_size": 1843200
    },
    "audio_duration": 1.0
  },
  "outputs": [
    {
      "type": "audio",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_size": 1843200,
      "duration": 12,
      "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 |
|---|---|---|
| `audio` | object {url, content_type, file_name, file_size} | 与源时长一致且已应用响度标准化的清理后音频。录音使用单声道、48 kHz 采样率和 16 位深度。 |
| `audio_duration` | number | 输入时长，以秒为单位。 |

## Related models

- [Subtitles](https://doitong.com/developers/models/veed/subtitles.md) (`veed/subtitles`): from $0.10 / minute of input video
- [Fabric 1.0](https://doitong.com/developers/models/veed/fabric-1.0/text.md) (`veed/fabric-1.0/text`): from $2.40 / run
- [Fabric 1.0 Fast](https://doitong.com/developers/models/veed/fabric-1.0/fast.md) (`veed/fabric-1.0/fast`): from $0.10 / second of input audio
- [Lipsync](https://doitong.com/developers/models/veed/lipsync.md) (`veed/lipsync`): $0.40 / 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
- [MMAudio V2](https://doitong.com/developers/models/mmaudio-v2.md) (`mmaudio-v2`): $0.001 / second
- [DeepFilterNet 3](https://doitong.com/developers/models/deepfilternet3.md) (`deepfilternet3`): $0.001 / second of input audio
- [Demucs](https://doitong.com/developers/models/demucs.md) (`demucs`): $0.0007 / second of input audio

## Links

- HTML page: https://doitong.com/developers/models/veed/clean-audio
- 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=veed/clean-audio
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/veed/clean-audio
