# FFmpeg API Metadata API

> Lee los metadatos de codificación de un archivo de vídeo o audio y los devuelve como JSON

Analiza el archivo de `media_url` e informa de sus detalles técnicos como objeto JSON. Funciona tanto con vídeo como con audio. Establece `extract_frames` en true para extraer también los fotogramas inicial y final de un vídeo, lo que hace que la solicitud sea más lenta.

- 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/es/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 del archivo de video o audio que se analizará. |
| `extract_frames` |  | boolean | no | `false` |  | Establece true para activar la extracción del primer y el último fotograma de cada video, a costa de un procesamiento más lento de la solicitud. |

## 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} | Metadatos que describen el archivo de audio o video analizado. |

## 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