Because ddddocr utilizes internal ONNX machine learning models, PyInstaller needs to be explicitly instructed to include these data files in the compilation package. Step 1: Run PyInstaller with Data Flags
Never hardcode your CAPTCHA solver API tokens into code pushed to a public GitHub repository. Utilize a companion .env file or prompt the user for input upon launching the portable executable.
This project demonstrates using both EasyOCR and PaddleOCR for recognition after applying a full preprocessing pipeline (contrast adjustment, denoising, grayscale, thresholding, morphological operations). captcha solver python github portable
Slider puzzles require finding a missing piece's coordinates. You can use target match algorithms via OpenCV to calculate the distance the slider needs to travel, then simulate human-like mouse drags with variable speeds (Bezier curves) using Python automation tools. Audio CAPTCHAs
Raw CAPTCHA images are filled with background noise, gradient shifts, and intersecting lines designed to confuse basic optical character recognition (OCR). Use OpenCV and Pillow to clean the image before feeding it to your solver: This project demonstrates using both EasyOCR and PaddleOCR
Note: Using opencv-python-headless instead of standard opencv-python ensures the script runs smoothly on headless Linux servers without crashing due to missing X11 graphical display libraries. Step 2: The Portable Solver Code
: ✅ Medium . The Python client itself is portable, but it acts as a wrapper for the cloud-based SadCaptcha service, requiring an API key and internet connectivity. Audio CAPTCHAs Raw CAPTCHA images are filled with
# Read the image img = cv2.imread(image_path)
A cross-platform engine used to run machine learning models. It is highly optimized, lightweight, and installs completely via Python packaging.
