Captcha Solver Python Github Portable

FROM python:3.10-slim RUN apt-get update && apt-get install -y tesseract-ocr COPY portable_solver.py . RUN pip install opencv-python pytesseract ENTRYPOINT ["python", "portable_solver.py"] Build and run:

The "portable" GitHub projects you’ll find typically combine OCR for simple CAPTCHAs or provide wrappers for APIs. Here are the most promising open-source projects that fit the "captcha solver python github portable" description. 1. python3-anticaptcha (by AlexVipond) Stars: ~250 | Language: Python This is a lightweight, asynchronous wrapper for the Anti-Captcha API. While it requires a paid API key, the library itself is extremely portable—just pip install python3-anticaptcha . Best for: Solving reCAPTCHA v2, v3, hCaptcha, and GeeTest without local ML models. Portability tip: Set your API key via environment variable to keep it portable across machines. 2. captcha-solver (by ptigas) 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. 3. capsolver-python (official by Capsolver) Stars: ~80 | Language: Python The official Python SDK for Capsolver – a paid solving service similar to 2Captcha. The SDK is a single file, making it extremely portable. Installation: pip install capsolver Use case: If you have a budget and need high accuracy for modern CAPTCHAs. 4. WebBot-Community/CaptchaSolver Stars: ~120 | Language: Python + Selenium A clever approach: it uses Selenium to take screenshots of CAPTCHA images inline, then sends them to a free OCR service. Portability: Works inside any Selenium-driven browser (Chrome, Firefox, Edge). No external model loading. 5. simple-captcha-solver Stars: ~90 | Language: Python + Keras This repo includes a pre-trained CNN model for solving a specific numeric CAPTCHA. The model file is under 2MB. Portability: The model is bundled with the code. Use load_model('captcha_model.h5') – works anywhere Keras runs. Downside: Only works for the specific CAPTCHA it was trained on. 6. captcha_harvest + custom trainer Stars: ~300 (combined ecosystem) A collection of scripts to generate synthetic CAPTCHA data, train a lightweight model, and export to ONNX for inference. Why it matters: ONNX models are extremely portable and run on CPU efficiently. Part 4: Building Your Own Portable CAPTCHA Solver – A Step-by-Step Tutorial Let’s create a minimal, portable solver for simple alphanumeric CAPTCHAs using Python, OpenCV, and Tesseract. This entire script fits in <50 lines and runs on any OS with Python. Step 1: Install Dependencies pip install opencv-python pytesseract requests Additionally, install Tesseract-OCR from GitHub (portable version available). Step 2: Write the Solver Script ( portable_solver.py ) import cv2 import pytesseract import sys from urllib.request import urlretrieve import os def solve_captcha(image_source): # If source is a URL, download it if image_source.startswith('http'): local_file = 'temp_captcha.png' urlretrieve(image_source, local_file) image_path = local_file else: image_path = image_source captcha solver python github portable

# Cleanup if image_source.startswith('http'): os.remove(local_file) FROM python:3

import speech_recognition as sr r = sr.Recognizer() with sr.AudioFile("captcha.wav") as source: audio = r.record(source) text = r.recognize_google(audio) This is highly portable (uses Google’s free API) but has rate limits. Because your solver is portable, you can run it almost anywhere. Docker Container (Max Portability) Create a Dockerfile : Best for: Solving reCAPTCHA v2, v3, hCaptcha, and