For accessibility CAPTCHAs that provide an audio alternative, use speech_recognition :
The "portable" GitHub projects you’ll find typically combine OCR for simple CAPTCHAs or provide wrappers for APIs.
Here’s a portable snippet that solves a CAPTCHA, logs in, and works from any folder:
python portable_solver.py https://example.com/captcha.png captcha solver python github portable
This project provides a challenges by implementing AI models for various puzzle types (3D rollball, hopscotch, counting, shadows, etc.). It is sponsored by Capsolver and is designed for developers who want to avoid paying per-solve fees.
To ensure maximum portability, we will design a script that uses standard Python libraries alongside specialized, lightweight packages. We will utilize an ONNX-converted model for text CAPTCHAs, which eliminates heavy framework dependencies. Step 1: Setting Up the Portable Environment
or custom machine learning models to solve simple image-based text CAPTCHAs without external calls. API-Based Wrappers (Cloud): To ensure maximum portability, we will design a
# Set the working directory WORKDIR /app
# Install dependencies RUN pip install pytesseract pillow
Standard browser automation tools like Selenium often require matching system-installed web drivers (like ChromeDriver). For portability, modern frameworks like are preferred because they can download bundled, isolated browser binaries directly into your project folder. 2. The Solver Engine API-Based Wrappers (Cloud): # Set the working directory
The script requires only your API key, making it extremely portable across different servers and environments.
Automating the Impossible: Building a Portable CAPTCHA Solver with Python