# Recraft V4 Pro (Vector) API

> Pro درجے کا Recraft V4 ٹیکسٹ ٹو ویکٹر ماڈل جو پرامپٹ سے SVG گرافکس آؤٹ پٹ کرتا ہے

Recraft V4 کے Pro ورژن کا استعمال کرتے ہوئے 10000 حروف تک کے `prompt` سے ویکٹر تصاویر بناتا ہے۔ کنٹرولز میں چھ `image_size` پری سیٹس، پسندیدہ `colors` اور `background_color` شامل ہیں۔ برانڈ اور پروڈکشن ڈیزائن کے کام کے لیے موزوں ہے۔ تصاویر کی فہرست واپس کرتا ہے۔

- Model id: `recraft/v4/pro/text-to-vector`
- Made by: Recraft
- Category: Text to Image
- Output: image
- Price: $0.30 / image (cheapest run $0.30 (300 API credits))
- Run: `POST https://api.doitong.com/v1/run/recraft/v4/pro/text-to-vector`
- Quote: `POST https://api.doitong.com/v1/quote/recraft/v4/pro/text-to-vector`
- Docs page: https://doitong.com/ur/developers/models/recraft/v4/pro/text-to-vector

## Pricing

Price: **$0.30 / image**. Billed per generated image.

The full example input below costs $0.30 = 300 API credits (1 image × 300 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/recraft/v4/pro/text-to-vector` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 10000 characters |  |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` |  |
| `colors` |  | array of object {r, g, b} | no | `[]` |  | پسندیدہ رنگوں پر مشتمل array۔ |
| `colors[].r` |  | integer | no | `0` | 0 – 255 | سرخ جزو کی قدر۔ |
| `colors[].g` |  | integer | no | `0` | 0 – 255 | سبز جزو کی قدر۔ |
| `colors[].b` |  | integer | no | `0` | 0 – 255 | نیلے جزو کی قدر۔ |
| `background_color` |  | object {r, g, b} \| null | no |  |  | تخلیق کردہ تصاویر کے پس منظر کے لیے ترجیحی رنگ۔ |
| `background_color.r` |  | integer | no | `0` | 0 – 255 | سرخ جزو کی قدر۔ |
| `background_color.g` |  | integer | no | `0` | 0 – 255 | سبز جزو کی قدر۔ |
| `background_color.b` |  | integer | no | `0` | 0 – 255 | نیلے جزو کی قدر۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | Safety-checking switch؛ off setting کے لیے account authorization ضروری ہے۔ authorization کے بغیر setting سے قطع نظر ہر درخواست check کی جاتی ہے؛ true checker فعال کرتا ہے۔ |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/recraft/v4/pro/text-to-vector?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/recraft/v4/pro/text-to-vector?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/recraft/v4/pro/text-to-vector", 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": "recraft/v4/pro/text-to-vector",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "recraft/v4/pro/text-to-vector",
  "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": 300,
    "usd": "0.30",
    "charged": 300,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
      }
    ]
  },
  "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} |  |

## Related models

- [Recraft V4](https://doitong.com/developers/models/recraft/v4/text-to-image.md) (`recraft/v4/text-to-image`): $0.04 / image
- [Recraft V4 (Vector)](https://doitong.com/developers/models/recraft/v4/text-to-vector.md) (`recraft/v4/text-to-vector`): $0.08 / image
- [Recraft V4 Pro](https://doitong.com/developers/models/recraft/v4/pro/text-to-image.md) (`recraft/v4/pro/text-to-image`): $0.25 / image
- [Recraft V4.1 Flash Text to Image](https://doitong.com/developers/models/recraft/v4.1/flash/text-to-image.md) (`recraft/v4.1/flash/text-to-image`): $0.007 / image
- [Recraft V4.1 Text to Image](https://doitong.com/developers/models/recraft/v4.1/text-to-image.md) (`recraft/v4.1/text-to-image`): $0.035 / image
- [Recraft V4.1 Text to Image Pro](https://doitong.com/developers/models/recraft/v4.1/pro/text-to-image.md) (`recraft/v4.1/pro/text-to-image`): $0.21 / image
- [Recraft V4.1 Text to Image Utility](https://doitong.com/developers/models/recraft/v4.1/utility/text-to-image.md) (`recraft/v4.1/utility/text-to-image`): $0.035 / image
- [Recraft V4.1 Text to Vector](https://doitong.com/developers/models/recraft/v4.1/text-to-vector.md) (`recraft/v4.1/text-to-vector`): $0.08 / image

## Links

- HTML page: https://doitong.com/developers/models/recraft/v4/pro/text-to-vector
- 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=recraft/v4/pro/text-to-vector
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/recraft/v4/pro/text-to-vector