# Ffmpeg Api Images to Video API

> Monta uma lista ordenada de até 200 imagens num vídeo MP4 em formato de apresentação, com uma taxa de fotogramas escolhida

Ferramenta de processamento que transforma uma lista ordenada de imagens num MP4. Recebe 1 a 200 entradas em `images`, e cada imagem permanece durante o número de fotogramas especificado antes de passar à seguinte. `fps` define a taxa de fotogramas da saída entre 1 e 120, com predefinição 24. Não há geração envolvida.

- Model id: `ffmpeg-api/images-to-video`
- Made by: Utility
- Category: Image to Video
- Output: video
- Estimated price per run: $0.005 / run (cheapest run $0.005 (5 API credits))
- Run: `POST https://api.doitong.com/v1/run/ffmpeg-api/images-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/ffmpeg-api/images-to-video`
- Docs page: https://doitong.com/pt-PT/developers/models/ffmpeg-api/images-to-video

## Pricing

Price: **$0.005 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.005 = 5 API credits (1 request × 5 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/images-to-video` 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 |
|---|---|---|---|---|---|---|
| `images` |  | array of object {url, frames} | yes |  | 1 – 200 items | Sequência de reprodução de imagens para um vídeo, em que a contagem de frames atribuída a cada imagem determina durante quanto tempo permanece visível antes do corte para a seguinte. |
| `images[].url` |  | string | yes |  |  | URL que fornece acesso ao ficheiro de imagem. |
| `images[].frames` |  | integer | yes |  | 1 – 1,000 | Duração da imagem na saída em frames, equivalente a `frames / fps` segundos no ecrã. |
| `fps` |  | number | no | `24` | 1 – 120 | Taxa de frames do vídeo de saída, medida em frames por segundo. |

## Example input

Required parameters only:

```json
{
  "images": [
    {
      "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
      "frames": 1
    }
  ]
}
```

A fuller example:

```json
{
  "images": [
    {
      "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
      "frames": 1
    }
  ]
}
```

## 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/images-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images": [
      {
        "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "frames": 1
      }
    ]
  }'

# 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/images-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "images": [
      {
        "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "frames": 1
      }
    ]
  }),
});
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 = {
    "images": [
        {
            "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
            "frames": 1,
        },
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ffmpeg-api/images-to-video", 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/images-to-video",
      "input": {
        "images": [
          {
            "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
            "frames": 1
          }
        ]
      },
      "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/images-to-video",
  "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": 5,
    "usd": "0.005",
    "charged": 5,
    "refunded": 0
  },
  "input": {
    "images": [
      {
        "url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "frames": 1
      }
    ]
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Vídeo gerado no formato MP4. |

## Related models

- [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
- [FFmpeg API Waveform](https://doitong.com/developers/models/ffmpeg-api/waveform.md) (`ffmpeg-api/waveform`): $0.001 / run
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second

## Links

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