# FFmpeg API Waveform API

> 시각화를 그리기 위해 오디오 파일에서 정규화된 파형 데이터를 생성합니다

`media_url`의 오디오를 분석하고 길이, 포인트 수, 정밀도 및 -1과 1 사이 값의 `waveform` 배열을 반환합니다. `points_per_second`는 1~10, `precision`은 소수 자릿수 1~6, `smoothing_window`는 곡선을 매끄럽게 하는 1~21이며 홀수여야 합니다.

- Model id: `ffmpeg-api/waveform`
- Made by: Utility
- Category: Other
- Output: json
- Estimated price per run: $0.001 / run (cheapest run $0.001 (1 API credit))
- Run: `POST https://api.doitong.ru/v1/run/ffmpeg-api/waveform`
- Quote: `POST https://api.doitong.ru/v1/quote/ffmpeg-api/waveform`
- Docs page: https://doitong.com/ko/developers/models/ffmpeg-api/waveform

## Pricing

Price: **$0.001 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.001 = 1 API credit (1 request × 1 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/ffmpeg-api/waveform` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `media_url` |  | string | yes |  |  | 분석할 오디오 파일을 가리키는 URL입니다. |
| `points_per_second` |  | number | no | `4` | 1 – 10 | 오디오 초당 파형 샘플링 포인트 수입니다. 1–2와 같은 값에서는 대략적이고 4–10과 같은 값에서는 더 세밀합니다. |
| `precision` |  | integer | no | `2` | 1 – 6 | 파형 값의 소수점 이하 자릿수입니다. 값이 커질수록 숫자 정밀도가 높아지는 대신 페이로드가 커집니다. |
| `smoothing_window` |  | integer | no | `3` | 1 – 21 | 평활화 창 크기이며 홀수여야 합니다. 창이 클수록 파형이 더 부드러워집니다. |

## Example input

Required parameters only:

```json
{
  "media_url": "https://example.com/your-file.bin"
}
```

A fuller example:

```json
{
  "media_url": "https://example.com/your-file.bin"
}
```

## 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.ru/v1/run/ffmpeg-api/waveform?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "media_url": "https://example.com/your-file.bin"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/waveform?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "media_url": "https://example.com/your-file.bin"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "media_url": "https://example.com/your-file.bin",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ffmpeg-api/waveform", 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.ru/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/waveform",
      "input": {
        "media_url": "https://example.com/your-file.bin"
      },
      "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/waveform",
  "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": 1,
    "usd": "0.001",
    "charged": 1,
    "refunded": 0
  },
  "input": {
    "media_url": "https://example.com/your-file.bin"
  },
  "output": {
    "waveform": [
      1.0
    ],
    "duration": 5,
    "points": 1,
    "precision": 1
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `waveform` | array of number | 오디오 길이 × points_per_second개의 포인트를 포함하는 정규화된 파형 배열입니다. 각 값의 범위는 -1~1입니다. |
| `duration` | number | 오디오 길이이며 초 단위로 표시합니다. |
| `points` | integer | 파형 데이터 포인트의 총 개수입니다. |
| `precision` | integer | 파형 값에 사용되는 소수점 정밀도입니다. |

## 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 · Loudnorm](https://doitong.com/developers/models/ffmpeg-api/loudnorm.md) (`ffmpeg-api/loudnorm`): $0.00017 / second of processing time
- [FFmpeg API Metadata](https://doitong.com/developers/models/ffmpeg-api/metadata.md) (`ffmpeg-api/metadata`): $0.001 / run
- [Omnilottie](https://doitong.com/developers/models/omnilottie.md) (`omnilottie`): $0.05 / image
- [Omnilottie · Image to Lottie](https://doitong.com/developers/models/omnilottie/image-to-lottie.md) (`omnilottie/image-to-lottie`): $0.10 / image
- [Omnilottie · Video to Lottie](https://doitong.com/developers/models/omnilottie/video-to-lottie.md) (`omnilottie/video-to-lottie`): $0.05 / video

## Links

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