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FunCaptcha-Solver

FunCaptcha-Solver

Of course. Here is a comprehensive, professional README.md written in English for your FunCaptcha-Solver GitHub repository, with a clear link to a Chinese version.


FunCaptcha-Solver

A high-performance, low-cost, and highly concurrent solution for solving Arkose Labs FunCaptcha challenges automatically. Built for developers and enterprises who require reliability and scale.

中文文档 (Chinese Documentation)

🤖 Overview

FunCaptcha-Solver is an advanced API service designed to bypass Arkose Labs FunCaptcha puzzles with exceptional speed and accuracy. This solution is perfect for automating tasks that involve FunCaptcha protections, such as web scraping, account creation, and data aggregation, without the hassle and cost of traditional captcha solving services.

By leveraging a combination of machine learning models and optimized request handling, our service provides a seamless and efficient way to tackle one of the web's more complex captcha systems.

✨ Features

  • ⚡ Blazing Fast Response Times: Get solutions typically in 2-15 seconds. Our optimized infrastructure and pre-warmed models ensure minimal delay.
  • 💰 Extremely Low Cost: We've drastically reduced the overhead of solving complex captchas, offering one of the most cost-effective solutions on the market. Perfect for large-scale operations.
  • 🚀 Massive Concurrency Support: Our system is built on a scalable, distributed architecture. Handle thousands of concurrent captcha solving requests without a drop in performance or success rate.
  • 🤖 High Accuracy & Reliability: Powered by state-of-the-art AI models that are continuously trained and updated to adapt to new FunCaptcha variations and challenges.
  • 🔒 Simple & Secure API: Easy-to-integrate REST API with clear documentation. Your requests and data are handled with the utmost security.
  • 🌐 Global Availability: Our servers are distributed worldwide, ensuring low-latency connections and high availability for users in any region.

📸 Performance in Action

The following logs demonstrate the solver handling a high volume of requests concurrently. Notice the low solve times and high success rate even under load.

FunCaptcha Solver Logs Example log output showing multiple concurrent requests being solved efficiently.

🚀 Quick Start

Prerequisites

  • Python 3.7+
  • An API key from [Our Service Dashboard] (TODO: Add your signup link)

Installation

Install the required package using pip:

pip install requests

Basic Usage

Integrating the solver into your project is straightforward.

import requests

# Initialize the solver with your API key
# Target website URL and public key (you can find this in the website's source code)
url = "https://api.decodecaptcha.com/funcaptcha?key=MY_API_KEY&website_url=https://signup.live.com/signup2&website_key=B7D8911C-5CC8-A9A3-35B0-554ACEE604DA"

headers = {}

response = requests.request("GET", url, headers=headers, verify=False)

# Use the solution token in your payload or form submission
print(response.text)

⚙️ How It Works

  1. Request: Your application sends a captcha solving request to our API with the target website's URL and public key.
  2. Processing: Our system retrieves the FunCaptcha puzzle, and our AI model analyzes and solves the audio or image challenge instantly.
  3. Response: We return a valid token to your application, typically in just a few seconds.
  4. Verification: You submit this token to the target website along with your original form data, effectively bypassing the captcha check.

📊 Performance Benchmarks

Metric Average Notes
Solve Time 5 - 20 seconds Depends on puzzle complexity and network latency.
Success Rate > 95% Consistently high accuracy across different puzzle types.
Concurrency 500+ req/s Our infrastructure is designed for massive scale.

📞 Support & Contact


Disclaimer: This project is intended for educational and ethical automation purposes only. Please ensure your use of this tool complies with the target website's Terms of Service and all applicable laws.


Now, create a separate file named README_CN.md in the same repository with the translated content. I'll provide the Chinese version for you below.


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