# Ffmpeg Api · Loudnorm API

> قابل ایڈجسٹ LUFS، true peak اور رینج ترتیبات کے ساتھ آڈیو کی بلندی کو EBU R128 ہدف پر نارملائز کرتا ہے

`audio_url` کی فائل پر بلندی کی نارملائزیشن لاگو کرتا ہے۔ اہداف میں `integrated_loudness` (-70 تا -5 LUFS)، `true_peak` (-9 تا 0 dBTP) اور `loudness_range` (1 تا 20 LU) شامل ہیں۔ متحرک دو پاس موڈ ڈیفالٹ ہے۔ خطی واحد پاس موڈ کے لیے ان پٹ کی ناپی گئی اقدار درکار ہیں، اور پیمائش کا خلاصہ واپس کیا جا سکتا ہے۔

- Model id: `ffmpeg-api/loudnorm`
- Made by: Utility
- Category: Audio
- Output: audio
- Charged by usage (up to $0.306 per run, typical $0.001; the rest of the hold is refunded): $0.00017 / second of processing time (cheapest run $0.001 (1 API credit))
- Run: `POST https://api.doitong.com/v1/run/ffmpeg-api/loudnorm`
- Quote: `POST https://api.doitong.com/v1/quote/ffmpeg-api/loudnorm`
- Docs page: https://doitong.com/ur/developers/models/ffmpeg-api/loudnorm

## Pricing

Price: **$0.00017 / second of processing time**. Charged by actual usage at $0.00017 / second of processing time: up to $0.306 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.001.

The full example input below holds up to $0.306 = 306 API credits (up to 1800 s of processing time × $0.00017) when it starts; a typical run costs $0.001 (1 API credit).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.com/v1/quote/ffmpeg-api/loudnorm` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. 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 |  |  | نارملائزیشن کی ضرورت والی آڈیو فائل کا URL۔ |
| `integrated_loudness` |  | number | no | `-18` | -70 – -5 | integrated loudness کی target value، LUFS میں۔ |
| `true_peak` |  | number | no | `-0.1` | -9 – 0 | True-peak ceiling، dBTP میں۔ |
| `loudness_range` |  | number | no | `7` | 1 – 20 | loudness کی target range، LU میں۔ |
| `offset` |  | number | no | `0` | -99 – 99 | Gain offset، dB میں، جو true-peak limiter سے پہلے لاگو ہوتا ہے۔ |
| `linear` |  | boolean | no | `false` |  | نارملائزیشن mode selector: false اعلیٰ معیار کا two-pass dynamic طریقہ منتخب کرتا ہے؛ true single-pass linear processing منتخب کرتا ہے۔ |
| `dual_mono` |  | boolean | no | `false` |  | کیا mono ان پٹ کو dual-mono سمجھا جائے تاکہ stereo systems پر EBU R128 loudness measurements درست ہوں۔ |
| `print_summary` |  | boolean | no | `false` |  | نارملائز کردہ آڈیو کے ساتھ loudness measurements کا summary شامل کرتا ہے۔ |
| `measured_i` |  | number \| null | no |  | -99 – 0 | Integrated loudness measurement جو linear mode کو ان پٹ فائل سے LUFS میں درکار ہوتی ہے۔ |
| `measured_lra` |  | number \| null | no |  | 0 – 99 | linear mode کے لیے درکار loudness-range measurement، ان پٹ فائل سے لی گئی اور LU میں فراہم کردہ۔ |
| `measured_tp` |  | number \| null | no |  | -99 – 99 | linear mode کے لیے درکار true-peak measurement، ان پٹ فائل سے dBTP میں فراہم کردہ۔ |
| `measured_thresh` |  | number \| null | no |  | -99 – 0 | ان پٹ آڈیو کی measured threshold، LUFS میں؛ linear mode استعمال کرتے وقت درکار ہے۔ |

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/ffmpeg-api/loudnorm?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/ffmpeg-api/loudnorm?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/ffmpeg-api/loudnorm", 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": "ffmpeg-api/loudnorm",
      "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": "ffmpeg-api/loudnorm",
  "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": 306,
    "usd": "0.306",
    "charged": 306,
    "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
    },
    "summary": {
      "input_integrated": 1.0,
      "input_true_peak": 1.0,
      "input_lra": 1.0,
      "input_threshold": 1.0,
      "output_integrated": 1.0,
      "output_true_peak": 1.0,
      "output_lra": 1.0,
      "output_threshold": 1.0,
      "normalization_type": "string",
      "target_offset": 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} | نارملائزیشن کے بعد کی آڈیو فائل۔ |
| `summary` | object {input_integrated, input_true_peak, input_lra, input_threshold, output_integrated, output_true_peak, output_lra, output_threshold, normalization_type, target_offset} \| null | loudness measurements کا structured summary، درخواست کیے جانے پر واپس کیا جاتا ہے۔ |

## Related models

- [Ffmpeg Api Images to Video](https://doitong.com/developers/models/ffmpeg-api/images-to-video.md) (`ffmpeg-api/images-to-video`): $0.005 / run
- [Ffmpeg Api · Merge Videos](https://doitong.com/developers/models/ffmpeg-api/merge-videos.md) (`ffmpeg-api/merge-videos`): $0.00017 / second of processing time
- [FFmpeg API Metadata](https://doitong.com/developers/models/ffmpeg-api/metadata.md) (`ffmpeg-api/metadata`): $0.001 / run
- [FFmpeg API Waveform](https://doitong.com/developers/models/ffmpeg-api/waveform.md) (`ffmpeg-api/waveform`): $0.001 / run
- [MMAudio V2](https://doitong.com/developers/models/mmaudio-v2.md) (`mmaudio-v2`): $0.001 / second
- [FFmpeg API \[Merge Audios\]](https://doitong.com/developers/models/ffmpeg-api/merge-audios.md) (`ffmpeg-api/merge-audios`): $0.00017 / second of processing time
- [Workflow Utilities Audio Compressor](https://doitong.com/developers/models/workflow-utilities/audio-compressor.md) (`workflow-utilities/audio-compressor`): $0.001 / second of processing time
- [Workflow Utilities Impulse Response](https://doitong.com/developers/models/workflow-utilities/impulse-response.md) (`workflow-utilities/impulse-response`): $0.001 / second of processing time

## Links

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