# Smart Resize API

> يعيد تركيب صورة بما يصل إلى 10 أبعاد مستهدفة، وهو مفيد لنسخ الإعلانات والقص

يغير حجم الصورة المصدر إلى أحجام عشوائية عبر إعادة إنشاء التكوين بدل الاقتصاص فحسب. قدّم `target_sizes` كسلاسل من 1 إلى 10 مثل "1920x1080"، مع من 1 إلى 4 تنويعات لكل حجم عبر `num_images_per_size`. تضيف `prompt` اختيارية تصل إلى 5000 حرف تعليمات. تكون `resolution` هي 1K أو 2K أو 4K، والإخراج png أو jpeg أو 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/ar/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 |  |  | عنوان URL للصورة المصدر لتغيير حجمها. |
| `target_sizes` |  | array of string | yes |  | 1 – 10 items | أبعاد المخرج المطلوبة كقائمة من السلاسل `<width>x<height>`، مثل `"1920x1080"`. يغطي كل هدف إعداد مسبق لـ nano-banana-pro يكون صغيرًا قدر الإمكان مع الاستمرار في تغطية الأبعاد المطلوبة، ما يوفر تطابقًا دقيقًا للبكسلات دون رفع الدقة. يساوي عدد الصور لكل حجم واحدًا مضروبًا في `num_images_per_size`. |
| `prompt` |  | string | no | `` | ≤ 5000 characters | إرشادات إضافية لتغيير الحجم: تطلب القيمة الفارغة من النموذج الحفاظ على محتوى المصدر بأكبر قدر ممكن من الدقة. ترافق أي تعليمات مقدمة موجّه تغيير الحجم المُنشأ تلقائيًا والمرسل إلى nano-banana-pro. |
| `num_images_per_size` |  | integer | no | `1` | 1 – 4 | عدد المتغيرات لكل حجم لـ nano-banana-pro، ويحدد إجمالي عدد الصور المُرجعة بالصيغة `len(target_sizes) * num_images_per_size`. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | تلميح داخلي لفئة الدقة يحدد حدًا أدنى، وليس الأبعاد النهائية المحددة بواسطة `target_sizes`. إذا تعذر على تلك الفئة استيعاب حجم مطلوب، فقد يختار تغيير الحجم الذكي فئة أعلى تلقائيًا. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | صيغة الصور المُولَّدة. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | درجة تحمّل الأمان: تؤدي زيادة هذا الرقم إلى جعل التصفية أقل صرامة لاستدعاءات /edit الداخلية لـ nano-banana-pro. |
| `seed` |  | integer \| null | no |  |  | بذرة اختيارية لإعادة الإنتاج ومشتركة بين جميع الأحجام المستهدفة. عند توفيرها، تُمرَّر إلى استدعاءات /edit الداخلية لـ nano-banana-pro. |

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} | قائمة صور مدمجة تتضمن إدخالات `num_images_per_size` لـ `target_sizes[0]` أولًا، ثم مجموعات مكافئة لـ `target_sizes` اللاحقة. وتتضمن كل صورة مولَّدة بالترتيب نفسه الموجود في `results`. |
| `description` | string | وصف مصاحب للصور المولّدة. |
| `results` | array of object {images, description, width, height, aspect_ratio, resolution} | العرض والارتفاع المطلوبان لكل هدف، مقترنان بالإعداد المسبق لـ nano-banana-pro المستخدم أثناء المعالجة، والمحدد بواسطة aspect_ratio وresolution. |

## 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