Captcha Solver Python Github May 2026

For real-world applications, use an API client. Most GitHub repos mirror this pattern.

Step 1: Install

pip install 2captcha-python

Step 2: Basic implementation

from twocaptcha import TwoCaptcha
import requests
from bs4 import BeautifulSoup
token = solve_recaptcha_v2('6Le-wvkSAAAAAPBMRTvw0Q4Muexq9bi0DJwx_mJ-',
'https://www.google.com/recaptcha/api2/demo')
print(f"Token: token")
Search on GitHub: "captcha solver python recaptcha v2"

Select 2captcha/2captcha-python.
Finding a reliable Python-based CAPTCHA solver on GitHub depends on whether you want to build a custom machine learning model or integrate an existing service API. Below are the top-rated repositories and approaches for 2026. 🛠️ Service-Based Solvers (Most Reliable)
These repositories provide Python wrappers for third-party services. They are the go-to for complex challenges like reCAPTCHA v3, Cloudflare Turnstile, and hCaptcha. captcha solver python github
2captcha-python: The official Python SDK for 2Captcha. It supports virtually every CAPTCHA type, including coordinates, canvas, and text-based challenges.
solvecaptcha-python: A seamless integration package for the SolveCaptcha API. It is particularly effective for automating bypasses for FunCaptcha and GeeTest.
captcha-solver-python (Metabypass): Offers an "Easy Implementation" mode where you simply provide your credentials and the image path to get a result. 🧠 Machine Learning & OCR (Custom Solutions)
If you want to solve simple image-based CAPTCHAs without paying for a service, these repositories use local processing like TensorFlow or Tesseract.
tensorflow_captcha_solver: A high-quality project based on the popular "How to break a CAPTCHA system in 15 minutes" methodology. It generates synthetic data to train models that generalize well to new fonts.
simple-captcha-solver: Best for very specific, non-distorted image CAPTCHAs. It uses image filtering and grayscale thresholding to isolate characters. For real-world applications, use an API client
Captcha-Solver (Scalable Architecture): A modular seven-model architecture designed for efficiency. It can even be deployed on edge devices like a Raspberry Pi using TFLite. 🌐 Automation Framework Examples
For developers using Selenium or Playwright, these repositories provide boilerplate code for integration:
captcha-solver-selenium-python-examples: A comprehensive collection of scripts showing how to handle reCAPTCHA v2/v3 and Cloudflare within a Selenium browser instance.
Playwright-reCAPTCHA: A specialized library for Playwright users that utilizes AI-powered services like CapSolver to automate browser-based challenges. Quick Comparison Setup Difficulty API Services reCAPTCHA, hCaptcha, Cloudflare TensorFlow/CNN Fixed-font image CAPTCHAs Tesseract/OCR Simple, clean text images
Finding a reliable Python CAPTCHA solver on GitHub typically involves choosing between two main strategies: using OCR-based libraries for simple text images or integrating third-party API services for complex challenges like reCAPTCHA. Popular GitHub Repositories and Libraries
Solvecaptcha-Python: A client library designed to integrate with CAPTCHA solving services via an API key. Here are the most starred and reliable Python
Simple CAPTCHA Solver: An educational project that demonstrates how to solve basic image-based CAPTCHAs by comparing pixel differences.
Captcha-Text-Extraction: A repository focused on using OpenCV and contours to isolate characters for machine learning prediction. Common Approaches
OCR and Image Processing: For basic text-based CAPTCHAs, developers often combine Pytesseract (an OCR tool) with OpenCV to clean and threshold images before extraction.
API Integration: For advanced challenges (v2/v3, hCaptcha), tools like the 2Captcha Python library are preferred. They outsource the solving process to a service that returns a token for submission.
Browser Automation: Tools like Selenium are frequently used to handle the web interaction while these libraries process the underlying challenge. Implementation Example (OCR Approach) For a simple text-based CAPTCHA, a basic workflow involves: Read the image using OpenCV. Apply thresholding to convert it to black and white. Find contours to identify individual characters. Extract text using a library like Tesseract.
Note on Ethics: While using a CAPTCHA solver is not inherently illegal, using it to scrape data from sites that explicitly forbid it in their Terms of Service may lead to IP bans or legal issues. simple CAPTCHA solver in python - GitHub

Here are the most starred and reliable Python repositories for solving CAPTCHAs.
| Problem | Solution |
|---------|----------|
| Low OCR accuracy | Add more preprocessing, train custom model |
| reCAPTCHA not solving | Check proxy settings, rotate IPs |
| Rate limiting | Add delays between requests, use rotating proxies |
| Model overfitting | Increase dataset size, add regularization |
| Token expired | Submit immediately after solving |