Image To Text

Image To Text Captcha Recognition API

POST https://api.captchasonic.com/createTask
Host: api.captchasonic.com
Content-Type: application/json

Payload

{
  "apiKey": "YOUR_API_KEY",
  "task": {
    "type": "OcrImage",
    "screenshot": true,
    "queries": [
      "image1_base64",
      "image2_base64"
    ],
    "numeric": true,
    "module": "bls",
    "case": false,
    "maxLength": 3
  }
}

Response

{
  "errorId": 0,
  "solution": {
    "imageSize": [
      400,
      500
    ],
    "objects": [
      true,
      false,
      true,
      false
    ]
  },
  "status": "ready",
  "target": "Default target text"
}

Example Scripts

JavaScript

async function fetchOcrResult() {
const url = "https://api.captchasonic.com/createTask"; // Replace with the actual API endpoint
const data = {
apiKey: "sonic_xxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
task: {
    type: "OcrImage",
    screenshot: true,
    queries: [],
    numeric: true,
    module: "",
    case: true,
    maxLength: 0
}
};

try {
const response = await fetch(url, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify(data)
});

if (!response.ok) {
    throw new Error(`HTTP error! Status: ${response.status}`);
}

const result = await response.json();
console.log("Response:", result);
return result;
} catch (error) {
console.error("Error fetching OCR result:", error);
return null;
}
}

// Example usage:
fetchOcrResult();

Python

  import requests

def fetch_ocr_result():
    url = "https://api.captchasonic.com/createTask"  # Replace with the actual API endpoint
    headers = {"Content-Type": "application/json"}

    data = {
        "apiKey": "sonic_xxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
        "task": {
            "type": "OcrImage",
            "screenshot": True,
            "queries": [],
            "numeric": True,
            "module": "",
            "case": True,
            "maxLength": 0
        }
    }

    try:
        response = requests.post(url, json=data, headers=headers)
        response.raise_for_status()  # Raise an error for HTTP error responses
        return response.json()  # Return JSON response
    except requests.exceptions.RequestException as e:
        print(f"Error fetching OCR result: {e}")
        return None

# Example usage:
result = fetch_ocr_result()
if result:
    print("Response:", result)