Grid Image Solver
High-accuracy solution for Grid Image captchas of any difficulty.
CaptchaAI provides a powerful Grid Image CAPTCHA solver for developers and automation systems. Easily solve reCAPTCHA grid image challenges and bypass reCAPTCHA image verification workflows with our grid image CAPTCHA solving service, offering fast responses and scalable concurrency.
- > 99% success rate
- Thread-based subscription
- Unlimited solving
- Per 1,000: Custom quote
- No per-captcha billing
How to Solve Grid Image CAPTCHA
CaptchaAI fully supports Grid Image CAPTCHA solving Our grid image solver enables you to solve reCAPTCHA image challenges
and bypass reCAPTCHA grid verification using a simple task submission process.
Step 1: Prepare the Image and Instruction
- Capture the full reCAPTCHA grid image (not cropped)
- Identify the instruction text (e.g., "crosswalks", "traffic lights", "cars")
- Determine grid size: 3×3 or 4×4
The grid cells are numbered in reading order:
3×3 Grid: 4×4 Grid:
1 2 3 1 2 3 4
4 5 6 5 6 7 8
7 8 9 9 10 11 12
13 14 15 16
Step 2: Submit the Task to CaptchaAI
Send a POST request to https://ocr.captchaai.com/in.php with the image file and instruction.
import requests
# Prepare the data
with open('grid_image.jpg', 'rb') as f:
files = {'file': f}
data = {
'key': 'YOUR_API_KEY',
'method': 'post',
'grid_size': '3x3',
'img_type': 'recaptcha',
'instructions': 'crosswalks',
'json': '1'
}
response = requests.post('https://ocr.captchaai.com/in.php', files=files, data=data)
result = response.json()
task_id = result['request']
Step 3: Retrieve the Solution
Wait 5 seconds, then poll for the result using a GET request to https://ocr.captchaai.com/res.php:
import time
import json
time.sleep(5) # Wait 5 seconds
params = {
'key': 'YOUR_API_KEY',
'action': 'get',
'id': task_id,
'json': '1'
}
response = requests.get('https://ocr.captchaai.com/res.php', params=params)
result = response.json()
if result['status'] == 1:
solution = json.loads(result['request']) # e.g., [1, 3, 6, 9]
print(f"Grid cells to click: {solution}")
Step 4: Apply the Solution
The response contains an array of cell indices that match the instruction. For example:
- [1, 3, 6, 9] means cells 1, 3, 6, and 9 contain the matching objects
- Click or select these cells in your automation script to complete the captcha
Developer Quick Start
Solve Grid Image Captcha Using CaptchaAI API
Integrate grid image captcha solving easily using the CaptchaAI API.
Use ready-to-run examples to automate grid-based verification challenges quickly.
FAQ
Frequently Asked Questions
A Grid Image CAPTCHA is a verification method where users must select specific images from a grid based on a given instruction (e.g., “select all traffic lights”). It is widely used across different CAPTCHA systems to distinguish humans from bots.
Grid Image captchas can be solved by identifying required objects within the image grid and submitting the correct selection programmatically.
Yes. Grid image selection is a core part of Google reCAPTCHA v2, typically triggered when additional verification is required after the initial checkbox or risk analysis.
Failures may occur due to dynamic image refresh, incorrect object recognition, or expired verification sessions.
Need more help? Check CaptchaAI Help Center