No article on CAPTCHA solvers is complete without a strong disclaimer.
Do NOT use these techniques to:
What IS generally acceptable:
Many of the GitHub repositories mentioned include licenses (MIT, GPL) that allow free use, but how you use them falls under anti-hacking laws in your jurisdiction (e.g., CFAA in the US, Computer Misuse Act in the UK). captcha solver python github portable
Golden rule: If the CAPTCHA is there to protect a resource you would normally have to log in or pay to access, solving it programmatically is likely illegal.
A minimal text-CAPTCHA solver might look like this:
import cv2 import pytesseract from PIL import Imagedef solve_text_captcha(image_path): # Preprocess img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE) _, img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY_INV) No article on CAPTCHA solvers is complete without
# OCR text = pytesseract.image_to_string(img, config='--psm 8') return text.strip()
This is portable if you install Tesseract and pip install opencv-python pytesseract. It works offline and cross-platform. What IS generally acceptable:
Stars: ~450 | Language: Python + OpenCV
A simple script that uses Tesseract OCR and image preprocessing (thresholding, dilation) to solve simple text CAPTCHAs. No neural networks, no GPU.
Why portable: Works entirely offline. Only dependencies: opencv-python and pytesseract.
Limitation: Fails on distorted or overlapping text.
Trade-off: Works on simple text CAPTCHAs. Fails on noisy, distorted, or ReCaptcha v2.