Captcha Solver Python Github [exclusive] Jun 2026

. These tools are frequently used in web scraping, automated testing, and CI/CD pipelines to bypass anti-automation barriers. 1. Traditional OCR-Based Solvers

Do you prefer a (easier) or a free local script (harder)? I can provide a specific code snippet based on your choice.

Use Playwright or Puppeteer with plugins like puppeteer-extra-plugin-stealth to randomize user agents, canvas fingerprints, and screen resolutions. captcha solver python github

captcha_text = solve_simple_captcha("captcha.png") print(f"Solved: captcha_text")

: Another integration tool for the Metabypass service, supporting multiple CAPTCHA types through specialized API calls. Traditional OCR-Based Solvers Do you prefer a (easier)

For advanced protections like Google's reCAPTCHA v2, combining browser automation (Playwright/Selenium) with an API wrapper from GitHub is the industry standard. pip install playwright twocaptcha-python playwright install Use code with caution. Python Script:

import requests import time API_KEY = 'YOUR_API_KEY_HERE' SITE_KEY = 'TARGET_WEBSITE_SITEKEY' PAGE_URL = 'https://example.com' def solve_recaptcha_v2(): # Step 1: Submit the CAPTCHA task to the provider submit_url = f"http://2captcha.comAPI_KEY&method=userrecaptcha&googlekey=SITE_KEY&pageurl=PAGE_URL&json=1" response = requests.get(submit_url).json() if response['status'] != 1: raise Exception("Failed to submit CAPTCHA task") task_id = response['request'] print(f"Task submitted successfully. ID: task_id") # Step 2: Poll for the completed token retrieve_url = f"http://2captcha.comAPI_KEY&action=get&id=task_id&json=1" while True: time.sleep(5) # Wait between checks result = requests.get(retrieve_url).json() if result['status'] == 1: print("CAPTCHA solved successfully!") return result['request'] # This is the g-recaptcha-response token elif result['request'] == 'CAPCHA_NOT_READY': print("Still waiting for solution...") continue else: raise Exception(f"Error solving CAPTCHA: result['request']") # Step 3: Inject the token into your browser automation tool (Selenium/Playwright) # response_token = solve_recaptcha_v2() # driver.execute_script(f"document.getElementById('g-recaptcha-response').innerHTML='response_token';") Use code with caution. Best Practices and Anti-Detection Strategies captcha_text = solve_simple_captcha("captcha

This script loads an image, preprocesses it to remove noise, and runs OCR to extract the text.

pip install tensorflow keras tensorflow-cpu

Many GitHub scripts bypass reCAPTCHA v2 by switching to the audio accessibility option. The script downloads the audio payload, processes it using Python's speech_recognition library or PocketSphinx, and types the text back into the browser.

import pytesseract from PIL import Image # Configure tesseract path if necessary (e.g., Windows users) # pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' def solve_text_captcha(cleaned_image_path): # Open the image using PIL img = Image.open(cleaned_image_path) # Run OCR with custom configurations (telling Tesseract to expect a single word) custom_config = r'--psm 8 -c tessedit_char_whitelist=ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789' captcha_text = pytesseract.image_to_string(img, config=custom_config) return captcha_text.strip() # Execution cleaned = preprocess_captcha('captcha_raw.png') result = solve_text_captcha(cleaned) print(f"Solved CAPTCHA Text: result") Use code with caution. Bypassing Enterprise CAPTCHAs via API Services