Captcha Solver Python Github ((better)) Jun 2026

Complete Guide to CAPTCHA Solving with Python (GitHub Resources) ⚠️ Important Legal & Ethical Note Only use CAPTCHA solving for legitimate purposes:

Testing your own applications Automating your own workflows with permission Security research on authorized systems Accessibility accommodations

Never use to:

Bypass rate limits on services you don't own Scrape websites against ToS Create fake accounts or spam captcha solver python github

1. Recommended GitHub Repositories For Traditional CAPTCHAs (Distorted Text) | Repository | Stars | Best For | |------------|-------|----------| | captcha-breaker | 500+ | Simple text CAPTCHAs | | CNN-captcha-solver | 300+ | Learning deep learning approach | | Captcha-solving-tensorflow | 200+ | Production-ready training | For reCAPTCHA & Advanced CAPTCHAs | Repository | Method | Cost | |------------|--------|------| | 2captcha-python | Human solvers | Paid (~$3/1000) | | capsolver-python | AI + humans | Paid (~$2/1000) | | pyppeteer-recaptcha | Audio solving | Free (limited) | For Audio CAPTCHAs

audio-captcha-solver - Speech recognition approach deepspeech-captcha - DeepSpeech integration

2. Quick Start: Simple Text CAPTCHA Solver Using Tesseract OCR (Basic) # Install: pip install pytesseract pillow opencv-python import pytesseract import cv2 import numpy as np from PIL import Image def solve_simple_captcha(image_path): # Load and preprocess img = cv2.imread(image_path) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Noise removal and thresholding denoised = cv2.medianBlur(gray, 3) _, thresh = cv2.threshold(denoised, 127, 255, cv2.THRESH_BINARY_INV) Complete Guide to CAPTCHA Solving with Python (GitHub

# OCR text = pytesseract.image_to_string(thresh, config='--psm 8') return text.strip()

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

Using Deep Learning (Better Accuracy) # Clone: https://github.com/lllcho/CNN-captcha-solver # Train your own model import tensorflow as tf from tensorflow import keras Simplified training example def create_captcha_model(char_count=4, img_size=(100, 40)): model = keras.Sequential([ keras.layers.Conv2D(32, (3,3), activation='relu', input_shape=(*img_size, 1)), keras.layers.MaxPooling2D((2,2)), keras.layers.Conv2D(64, (3,3), activation='relu'), keras.layers.MaxPooling2D((2,2)), keras.layers.Flatten(), keras.layers.Dense(128, activation='relu'), keras.layers.Dense(char_count * 36, activation='softmax') # 36 chars (a-z0-9) ]) return model Load your labeled CAPTCHA dataset Train model... (see repository for complete code) (see repository for complete code) 3

3. reCAPTCHA v2/v3 Solution Using 2Captcha API (Easiest) # Install: pip install 2captcha-python # Get API key from https://2captcha.com (register first) from twocaptcha import TwoCaptcha def solve_recaptcha_v2(site_key, page_url): solver = TwoCaptcha('YOUR_API_KEY') result = solver.recaptcha( sitekey=site_key, url=page_url )

return result['code'] # This is your token to submit