For simple, old-school CAPTCHAs, pytesseract combined with PIL (Pillow) and OpenCV for preprocessing (greyscale, thresholding, erosion) can achieve 80-90% accuracy.
The secret to using pytesseract isn't the library itself; it's the preprocessing . GitHub repos like user-none/Captcha-Solver demonstrate how to remove background noise and lines before feeding the image to Tesseract. 3. captcha-solver by xHak9x (Hybrid) 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. 4. capsolver/capsolver-python (Modern API) Stars: ~80 (but rapidly growing) | Language: Python Capsolver is a newer competitor to 2Captcha that specializes in AI-based solving. Their Python SDK is excellent for reCAPTCHA and the increasingly common Cloudflare Turnstile . 5. python3-selenium-captcha-solver by honkyjoe (Specialized) Stars: ~200 | Language: Python This repository is unique because it demonstrates how to solve audio CAPTCHAs using Google's Speech Recognition API. It’s part of a Selenium automation script. While the accuracy is moderate, it shows a creative workaround for the audio fallback channel. How to Choose the Right Repository for Your Project Your decision depends entirely on your use case: captcha solver python github
from twocaptcha import TwoCaptcha solver = TwoCaptcha('YOUR_API_KEY') result = solver.normal('captcha.png') print(result['code']) Stars: ~300 | Language: Python Tesseract is a Python library that wraps Google's Tesseract-OCR engine. While not exclusively a "CAPTCHA solver," it is the most common tool for text-based CAPTCHAs. It’s an excellent template for building a resilient solver
import cv2 import pytesseract from PIL import Image def solve_simple_captcha(image_path): # Load image with OpenCV img = cv2.imread(image_path) While not exclusively a "CAPTCHA solver