Captcha Solver Python Github Direct

import hashlib
import pickle
class CaptchaCache:
def init(self, cache_file='captcha_cache.pkl'):
self.cache_file = cache_file
try:
with open(cache_file, 'rb') as f:
self.cache = pickle.load(f)
except FileNotFoundError:
self.cache = {}
def get_key(self, image):
    return hashlib.md5(image.tobytes()).hexdigest()
def get(self, image):
    key = self.get_key(image)
    return self.cache.get(key)
def set(self, image, solution):
    key = self.get_key(image)
    self.cache[key] = solution
    with open(self.cache_file, 'wb') as f:
        pickle.dump(self.cache, f)

token = solve_recaptcha_v2('6Le-wvkSAAAAAPBMRTvw0Q4Muexq9bi0DJwx_mJ-', 'https://www.google.com/recaptcha/api2/demo') print(f"Token: token")

If you need CAPTCHA solving for legitimate purposes (e.g., testing your own site):

Avoid repositories that claim to solve reCAPTCHA v3 or advanced hCaptcha for free – they're likely scams or outdated.

Would you like specific code examples for using a paid CAPTCHA API? captcha solver python github

Searching for "captcha solver python github" reveals two main ways to handle CAPTCHAs in your code: using specialized API libraries (fast and reliable) or building a custom OCR solver (no cost, but high maintenance).  1. Popular GitHub Libraries (API-Based) 

These are the most reliable for modern CAPTCHAs (reCAPTCHA, hCaptcha) because they send the challenge to a solving service. 

2captcha-python: The official Python SDK for the 2Captcha service. It supports virtually every challenge type, including canvas and rotating images.

solvercaptcha-python: A streamlined library for integrating SolverCaptcha into automation scripts.

metabypass-python: Provides a quick setup for the MetaBypass API, often used in Selenium or Playwright workflows.  Basic Implementation Example: 

from twocaptcha import TwoCaptcha solver = TwoCaptcha('YOUR_API_KEY') result = solver.normal('path/to/captcha.jpg') print(result['code']) Use code with caution. Copied to clipboard 2. Custom OCR Solvers (Self-Hosted)  import hashlib import pickle class CaptchaCache: def init

If you are dealing with simple, old-school text CAPTCHAs (distorted text on a plain background), you can use Python's image processing tools directly. 

Tesseract OCR (pytesseract): The gold standard for text recognition. You’ll often need to use OpenCV first to remove "noise" (lines or dots) from the image.

Simple Captcha Solver: A lightweight GitHub project that demonstrates how to solve basic CAPTCHAs by comparing pixel differences between letters.  3. Automation Tools for Capturing Challenges 

Before you can solve a CAPTCHA, you have to extract it from the web page. 

Selenium: Used to find the CAPTCHA element and take a screenshot of it or grab its src URL.

Undetected Chromedriver: A modified Selenium driver that helps prevent CAPTCHAs from appearing in the first place by mimicking a real human browser more effectively.  Quick Comparison Table  Approach  Reliability API SDKs Paid (per solve) reCAPTCHA v2/v3, hCaptcha, FunCaptcha Tesseract/OCR Low-Medium Simple numeric/text CAPTCHAs Machine Learning Time-Intensive High-volume, specific fixed patterns If you'd like to proceed, let me know:  Avoid repositories that claim to solve reCAPTCHA v3

What type of CAPTCHA are you trying to solve? (Text, reCAPTCHA checkboxes, image puzzles?)

Are you using a browser automation tool like Selenium or just making Requests?

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

token = solve_recaptcha('6Le-wvkSAAAAAPBMRTvw0Q4Muexq9bi0DJwx_mJ-', 'https://example.com') print(f"Response Token: token")

python predict.py --image test_captcha.png

Stars: ~150 | Language: Python
This lesser-known gem sits in the middle. It tries to solve simple CAPTCHAs locally using pytesseract, but falls back to a 2Captcha API if it fails. It’s an excellent template for building a resilient solver.