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API
hCAPTCHA
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hCAPTCHA Image

Overview

hCaptcha Image is a captcha type that requires users to identify and select images according to requirements, click points, or drag images.

🖼️

hCaptcha Token is widely used on many websites such as Cloudflare, Discord, OpenSea and many other services to protect against bots.

hCaptcha Token BBox

1. Create Task

Request

POST https://api.achicaptcha.com/createTask

Parameters

Parameter NameData TypeRequired?Description
clientKeystringyesApi key
task.typestringyesHCaptchaImageTask
task.subTypestringyesValue equals 0
task.imagestringyesList of base64 images separated by |
base64_question1|base64_question2|...|base64_question9|base64_sample1|base64_sample2|...|base64_sampleN
Note: Sample images may or may not be present. Images must be encoded to base64
task.otherstringyesQuestion|Image count|Captcha type
Example: "Please identify and click on all pictures featuring a bird|9|grid"
- Question: "Please identify and click on all pictures featuring a bird"
- Image count: 9 (Only count images in question grid, not sample images)
- Captcha type: grid (select cells in 9 cells that meet condition) or bbox (click one/multiple points or drag to mark an object that meets condition) or drag (drag one/multiple puzzle pieces to create complete image)

Request Example

POST /createTask HTTP/1.1
Host: api.achicaptcha.com
Content-Type: application/json
 
{
  "clientKey": "YOUR_API_KEY",
  "task": {
    "type": "HCaptchaImageTask",
    "subType": "0",
    "image": "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==|iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==|...(9 base64 images joined by |)",
    "other": "Please identify and click on all pictures featuring a bird|9|grid"
  }
}

Response

When successful, server returns errorId = 0 and taskId

{
  "errorId": 0,
  "taskId": "f2fc70d6-c76b-4fba-9480-205ac1fe9fb9"
}

2. Get Result

Request

POST https://api.achicaptcha.com/getTaskResult

Parameters

Parameter NameData TypeRequired?Description
clientKeystringyesApi key
taskIdstringyesTaskId obtained from (1)

Request Example

POST /getTaskResult HTTP/1.1
Host: api.achicaptcha.com
Content-Type: application/json
 
{
  "clientKey": "YOUR_API_KEY",
  "taskId": "f2fc70d6-c76b-4fba-9480-205ac1fe9fb9"
}

Response

{
  "errorId": 0,
  "status": "ready",
  // solution: coordinates of points to click (x1,y1,x2,y2,...) 
  "solution": "20,30,40,50"
}

Status Explanation

  • errorId = 0 and status = ready: Successfully solved, read result in solution.gRecaptchaResponse
  • errorId = 0 and status = processing: Solving captcha, wait 2 seconds and try again
  • errorId > 0: System error, returns error code and description

Integration Examples

import requests
import time
import base64
 
def image_url_to_base64(url):
    """Convert image URL to base64"""
    response = requests.get(url)
    return base64.b64encode(response.content).decode('utf-8')
 
def solve_hcaptcha_image(image_base64_list, question, image_count, captcha_type, api_key='YOUR_API_KEY'):
    # Step 1: Create task
    create_task_url = 'https://api.achicaptcha.com/createTask'
    create_task_payload = {
        'clientKey': api_key,
        'task': {
            'type': 'HCaptchaImageTask',
            'subType': '0',
            'image': image_base64_list,
            'other': f'{question}|{image_count}|{captcha_type}'
        }
    }
    
    response = requests.post(create_task_url, json=create_task_payload)
    result = response.json()
    
    if result['errorId'] != 0:
        raise Exception(result['errorDescription'])
    
    task_id = result['taskId']
    
    # Step 2: Get result
    get_result_url = 'https://api.achicaptcha.com/getTaskResult'
    
    while True:
        time.sleep(2)  # Wait 2 seconds
        
        get_result_payload = {
            'clientKey': api_key,
            'taskId': task_id
        }
        
        response = requests.post(get_result_url, json=get_result_payload)
        result = response.json()
        
        if result['errorId'] != 0:
            raise Exception(result['errorDescription'])
        
        if result['status'] == 'ready':
            return result['solution']['gRecaptchaResponse']
        
        # If status == 'processing', continue loop
 
# Usage
# Convert image URLs to base64
image_urls = [
    'https://example.com/image1.jpg',
    'https://example.com/image2.jpg',
    # ... other images
    'https://example.com/image9.jpg'
]
 
base64_images = [image_url_to_base64(url) for url in image_urls]
image_base64_list = '|'.join(base64_images)
 
question = 'Please identify and click on all pictures featuring a bird'
image_count = 9
captcha_type = 'grid'  # or 'bbox'
 
token = solve_hcaptcha_image(image_base64_list, question, image_count, captcha_type, 'YOUR_API_KEY')
print('hCaptcha token:', token)

Common Error Codes

Error CodeDescriptionNotes
0successSuccess
1processingProcessing
2missing required fieldsMissing required fields, check parameters again
3task not supportedTask type not supported
4task creation failedTask creation failed
5client key does not existAPI key does not exist, check API key again
6insufficient account balanceInsufficient account balance, add more credits
7task failed, please create a new taskTask failed, please create a new task
8task ID does not existTask ID does not exist

Best Practices

For best results when using Achicaptcha API, follow these principles:

1. Validate Input Data

  • Check image list before sending request
  • Images must be encoded to base64 before sending
  • Ensure correct format: base64_image1|base64_image2|...|base64_image9 or with additional sample images
  • Verify question and captcha type (grid/bbox) are accurate
  • Image count must match actual number of images in grid

2. Handle Multiple Rounds

  • hCaptcha may require solving multiple consecutive rounds
  • Achicaptcha API automatically handles these rounds
  • Solving time may be longer than text captcha (15-30 seconds)

3. Polling Interval

  • Wait at least 2 seconds between result checks
  • Don't spam API with too many consecutive requests
  • Set timeout to avoid infinite loops (recommended 120 seconds)

4. Retry Logic

  • Implement retry for temporary errors like ERROR_NO_SLOT_AVAILABLE
  • Use exponential backoff when retrying
  • Limit maximum retry attempts

5. API Key Security

  • Don't hardcode API key in code
  • Use environment variables
  • Don't expose API key on client-side

Useful links: