# FFmpeg API Metadata API

> Đọc siêu dữ liệu mã hóa từ tệp video hoặc âm thanh và trả về dưới dạng JSON

Phân tích tệp tại `media_url` và báo cáo thông tin kỹ thuật dưới dạng đối tượng JSON. Hoạt động với cả video và âm thanh. Đặt `extract_frames` thành true để lấy thêm khung hình đầu và cuối của video, nhưng thao tác này khiến yêu cầu chậm hơn.

- Model id: `ffmpeg-api/metadata`
- 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.com/v1/run/ffmpeg-api/metadata`
- Quote: `POST https://api.doitong.com/v1/quote/ffmpeg-api/metadata`
- Docs page: https://doitong.com/vi/developers/models/ffmpeg-api/metadata

## 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.com/v1/quote/ffmpeg-api/metadata` 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 |  |  | URL trỏ đến tệp video hoặc âm thanh cần phân tích. |
| `extract_frames` |  | boolean | no | `false` |  | Bật trích xuất khung hình đầu tiên và cuối cùng của mỗi video bằng cách đặt giá trị này thành true, đánh đổi với thời gian xử lý yêu cầu lâu hơn. |

## 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.com/v1/run/ffmpeg-api/metadata?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.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/metadata?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.com/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/metadata", 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/metadata",
      "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/metadata",
  "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": {
    "media": {
      "media_type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "duration": 5,
      "bitrate": 1,
      "codec": "string",
      "container": "string",
      "fps": 1,
      "frame_count": 1,
      "timebase": "string",
      "resolution": {
        "aspect_ratio": "string",
        "width": 1024,
        "height": 768
      },
      "format": {
        "container": "string",
        "video_codec": "string",
        "profile": "string",
        "level": 1.0,
        "pixel_format": "string",
        "bitrate": 1
      },
      "audio": {
        "codec": "string",
        "channels": 1,
        "sample_rate": 1,
        "bitrate": 1
      },
      "start_frame_url": "string",
      "end_frame_url": "string"
    }
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `media` | object {media_type, url, content_type, file_name, file_size, duration, bitrate, codec, container, fps, frame_count, timebase, resolution, format, audio, start_frame_url, end_frame_url} \| object {media_type, url, content_type, file_name, file_size, duration, bitrate, codec, container, channels, sample_rate} | Siêu dữ liệu mô tả tệp âm thanh hoặc video đã được phân tích. |

## 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 Waveform](https://doitong.com/developers/models/ffmpeg-api/waveform.md) (`ffmpeg-api/waveform`): $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/metadata
- 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/metadata
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ffmpeg-api/metadata