Step-by-Step Implementation: Building a Custom Text CAPTCHA Solver
pytesseract is a popular Python wrapper for Google's Tesseract OCR engine, often used as a baseline solver in simple GitHub repos.
print(f"Captcha Text: solve_local_captcha('captcha.png')")
Built on top of TensorFlow, it allows developers to train a custom Convolutional Neural Network (CNN) + Recurrent Neural Network (RNN) model using their own labeled dataset. captcha solver python github
pip install opencv-python pillow pytesseract easyocr
100+ | Status: Actively Maintained
Here are the most notable projects you will encounter. : For basic text-based CAPTCHAs, developers often combine
: For basic text-based CAPTCHAs, developers often combine Pytesseract (an OCR tool) with OpenCV to clean and threshold images before extraction.
are used to read the image, apply thresholding to remove noise, and find contours around individual letters. Masking & Matching
When facing Google reCAPTCHA or Arkose Labs FunCaptcha, you must bypass them using token-based injection. Here is how to implement this using a GitHub SDK wrapper for an external solving API. Code Example: Bypassing reCAPTCHA v2 with Selenium Here is how to implement this using a
This approach uses Tesseract OCR. You will need to install Tesseract on your system first.
Method B: Machine Learning & Computer Vision (Best for Sliders & Objects)
GitHub is home to both open-source OCR projects and official SDKs for professional solving services. Depending on your project's scale, you might choose a self-hosted model or a managed API.
A comprehensive Python library designed to handle reCAPTCHA v2/v3, text, image, slider, and Cloudflare challenges.