pip install pytesseract selenium pillow

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from selenium import webdriver
from PIL import Image
import pytesseract
from io import BytesIO

# Set up the web driver
browser = webdriver.Chrome(executable_path='path_to_chromedriver')

# Open the webpage that contains the CAPTCHA
browser.get('https://example.com/captcha')

# Find the CAPTCHA image by its ID and take a screenshot
captcha_element = browser.find_element_by_id('captcha_image_id')
captcha_image = captcha_element.screenshot_as_png

# Load the image into PIL for processing and use pytesseract to extract the text
image = Image.open(BytesIO(captcha_image))
captcha_text = pytesseract.image_to_string(image, config='--psm 8 --oem 3')

print("CAPTCHA Text:", captcha_text)
browser.quit()

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pip install pytesseract

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from PIL import Image
import pytesseract

# Open an image file
img = Image.open('path_to_image.jpg')

# Use Tesseract to convert the image to text
text = pytesseract.image_to_string(img)

print(text)

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pip install easyocr

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import easyocr

# Create a reader instance for English
reader = easyocr.Reader(['en'])

# Read from an image
results = reader.readtext('path_to_image.jpg')

for result in results:
    print(result[1])

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pip install Pillow

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from PIL import Image, ImageFilter

# Open an image file
img = Image.open('path_to_image.jpg')

# Apply image filters
img = img.convert('L')  # Convert to grayscale
img = img.filter(ImageFilter.SHARPEN)  # Sharpen image

# Save or display the processed image
img.save('processed_image.jpg')

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pip install opencv-python

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import cv2

# Load an image
img = cv2.imread('path_to_image.jpg')

# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Apply Gaussian Blur
blurred = cv2.GaussianBlur(gray, (5, 5), 0)

# Save the processed image
cv2.imwrite('processed_image.jpg', blurred)

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from PIL import Image, ImageFilter
from scipy.ndimage import gaussian_filter
import numpy as np
import pytesseract

def solve_captcha(filename):
    # Thresholds and blurring sigma
    th1 = 140
    th2 = 140  
    sig = 1.5  

    # Load and save the original image
    original = Image.open(filename)
    # Convert to black and white
    black_and_white = original.convert("L")
    black_and_white.save("black_and_white.png")

    # Apply the first threshold
    first_threshold = black_and_white.point(lambda p: p > th1 and 255)
    first_threshold.save("first_threshold.png")

    # Apply Gaussian blur
    blur = np.array(first_threshold)  # Create an image array
    blurred = gaussian_filter(blur, sigma=sig)
    blurred = Image.fromarray(blurred)
    blurred.save("blurred.png")

    # Apply the final threshold
    final = blurred.point(lambda p: p > th2 and 255)
    final = final.filter(ImageFilter.EDGE_ENHANCE_MORE)
    final = final.filter(ImageFilter.SHARPEN)
    final.save("final.png")

    # Perform OCR using Tesseract
    result = pytesseract.image_to_string(final, lang='eng', config='--psm 7')

    # Print the result
    print(f"Captured CAPTCHA: {result}")
    return result

# Example usage
result = solve_captcha('path_to_image.jpg')

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from selenium_recaptcha_solver import RecaptchaSolver
from selenium.webdriver.common.by import By
from selenium import webdriver
from selenium.webdriver.chrome.options import Options

# User-Agent to mimic a real user visit
test_ua = 'Mozilla/5.0 (Windows NT 4.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36'

options = Options()

options.add_argument("--window-size=1920,1080")

# Setting a custom User-Agent
options.add_argument(f'--user-agent={test_ua}')

options.add_argument('--no-sandbox')
options.add_argument("--disable-extensions")

# Initialize the Chrome WebDriver with the specified options
test_driver = webdriver.Chrome(options=options)

# Create an instance of RecaptchaSolver using the initialized WebDriver
solver = RecaptchaSolver(driver=test_driver)

# Navigate to Google's reCAPTCHA demo page
test_driver.get('https://www.google.com/recaptcha/api2/demo')

# Locate the reCAPTCHA iframe using its title attribute and switch to it
recaptcha_iframe = test_driver.find_element(By.XPATH, '//iframe[@title="reCAPTCHA"]')

# Use the solver to click on the reCAPTCHA checkbox
solver.click_recaptcha_v2(iframe=recaptcha_iframe)

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