# Smart Resize API

> Recompone una imagen en hasta 10 dimensiones objetivo, útil para variantes de anuncios y recortes

Cambia el tamaño de una imagen de origen a dimensiones arbitrarias regenerando la composición en lugar de limitarse a recortar. Proporciona `target_sizes` como entre 1 y 10 cadenas del tipo "1920x1080", con entre 1 y 4 variantes por tamaño mediante `num_images_per_size`. Un `prompt` opcional de hasta 5000 caracteres añade instrucciones. `resolution` es 1K, 2K o 4K y la salida es png, jpeg o webp.

- Model id: `smart-resize`
- Made by: Utility
- Category: Image Editing
- Output: image
- Price per run: from $0.15 / run of output image (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.com/v1/run/smart-resize`
- Quote: `POST https://api.doitong.com/v1/quote/smart-resize`
- Docs page: https://doitong.com/es/developers/models/smart-resize

## Pricing

Price: **from $0.15 / run of output image** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

Price by tier:

- 1K: $0.15 / run of output image
- 2K: $0.15 / run of output image
- 4K: $0.30 / run of output image

The full example input below costs $0.50 = 500 API credits (3 runs × $0.15 (1K) + $0.05).

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/smart-resize` 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

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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | URL de la imagen de origen para cambiar el tamaño. |
| `target_sizes` |  | array of string | yes |  | 1 – 10 items | Dimensiones de salida solicitadas como una lista de cadenas `<width>x<height>`, por ejemplo `"1920x1080"`. Cada objetivo se cubre con un ajuste preestablecido de nano-banana-pro elegido para ser lo más pequeño posible sin dejar de cubrir las dimensiones solicitadas, lo que proporciona una coincidencia exacta de píxeles sin ampliación. El número de imágenes de cada tamaño es uno multiplicado por `num_images_per_size`. |
| `prompt` |  | string | no | `` | ≤ 5000 characters | Orientación adicional para cambiar el tamaño: un valor vacío pide al modelo que conserve el contenido de origen con la mayor fidelidad posible. Cualquier instrucción proporcionada acompaña al prompt de cambio de tamaño generado automáticamente que se envía a nano-banana-pro. |
| `num_images_per_size` |  | integer | no | `1` | 1 – 4 | Número de variantes por tamaño para nano-banana-pro, que determina el número total de imágenes devueltas como `len(target_sizes) * num_images_per_size`. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | Indicación interna del nivel de resolución que establece un mínimo, no las dimensiones finales especificadas por `target_sizes`. Si ese nivel no puede admitir un tamaño solicitado, el cambio de tamaño inteligente puede elegir automáticamente uno superior. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Formato de las imágenes generadas. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | Tolerancia de seguridad: aumentar este número hace que el filtrado sea menos estricto para las llamadas internas de nano-banana-pro /edit. |
| `seed` |  | integer \| null | no |  |  | Semilla opcional de reproducibilidad compartida entre todos los tamaños objetivo. Cuando se proporciona, se transmite a las llamadas internas de nano-banana-pro /edit. |

File parameters (`image`) 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
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "target_sizes": [
    "1024x1024",
    "1920x1080",
    "768x1344"
  ]
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "target_sizes": [
    "1024x1024",
    "1920x1080",
    "768x1344"
  ]
}
```

## 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/smart-resize?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
      "1024x1024",
      "1920x1080",
      "768x1344"
    ]
  }'

# 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/smart-resize?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
      "1024x1024",
      "1920x1080",
      "768x1344"
    ]
  }),
});
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 = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
        "1024x1024",
        "1920x1080",
        "768x1344",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/smart-resize", 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": "smart-resize",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "target_sizes": [
          "1024x1024",
          "1920x1080",
          "768x1344"
        ]
      },
      "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": "smart-resize",
  "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": 500,
    "usd": "0.50",
    "charged": 500,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "target_sizes": [
      "1024x1024",
      "1920x1080",
      "768x1344"
    ]
  },
  "output": {
    "images": [
      {
        "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,
        "width": 1024,
        "height": 768
      }
    ],
    "description": "string",
    "results": [
      {
        "images": [
          {}
        ],
        "description": "string",
        "width": 1024,
        "height": 768,
        "aspect_ratio": "string",
        "resolution": "string"
      }
    ]
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Lista de imágenes combinada con entradas `num_images_per_size` para `target_sizes[0]` primero, seguida de grupos equivalentes para los `target_sizes` posteriores. Incluye cada imagen generada en la misma secuencia que `results`. |
| `description` | string | Descripción que acompaña a las imágenes generadas. |
| `results` | array of object {images, description, width, height, aspect_ratio, resolution} | Ancho y alto solicitados para cada objetivo, emparejados con el ajuste preestablecido de nano-banana-pro utilizado durante el procesamiento, identificado por su aspect_ratio y resolución. |

## Related models

- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Age Modify](https://doitong.com/developers/models/image-apps-v2/age-modify.md) (`image-apps-v2/age-modify`): $0.04 / image
- [Cartoonify](https://doitong.com/developers/models/cartoonify.md) (`cartoonify`): $0.10 / image

## Links

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