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mrafieefard/hcaptchasolver

Analysis updated 2026-05-18

19TypeScriptAudience · developerComplexity · 3/5Setup · moderate

TLDR

A distributed system with a Python backend and Electron desktop workers that automates solving hCaptcha challenges and returns the resulting token.

Mindmap

mindmap
  root((HCaptchaSolver))
    What it does
      Distributed captcha solving
      Backend queue
    Tech stack
      TypeScript
      Python
      Electron
    Use cases
      Automated solve requests
      Multi worker scaling
    Audience
      Developers

Code map

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What do people build with it?

USE CASE 1

Run a backend queue that accepts hCaptcha solve requests over an API.

USE CASE 2

Deploy desktop worker apps on multiple machines that connect to the same backend queue.

USE CASE 3

Check how many solver workers are online through the backend's status endpoint.

What is it built with?

TypeScriptPythonElectronWebSocket

How does it compare?

mrafieefard/hcaptchasolveravacocloud/avaco-denodoorman11991/budget-aware-mcp
Stars191919
LanguageTypeScriptTypeScriptTypeScript
Setup difficultymoderatemoderateeasy
Complexity3/53/53/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires running both a Python backend and an Electron desktop worker.

In plain English

This project is a distributed system for automatically solving hCaptcha challenges. hCaptcha is a security check that websites display to confirm a visitor is a real person, typically a grid of images where you pick the ones matching a prompt. This tool automates that process and returns the token that the website expects after a human completes the challenge. The system has two parts that talk to each other. The first is a Python backend server that receives solve requests over a standard web API. You send it the site key and URL of the page showing the captcha, along with an optional proxy address, and the backend queues the request and waits for a result. The second part is a desktop application built with Electron that runs on one or more machines. Each desktop app connects to the backend over a persistent WebSocket connection, receives solve tasks, opens an embedded browser view to actually work through the captcha, and sends the resulting token back to the backend. This distributed design means you can run multiple desktop workers on different machines and they all feed into the same backend queue. The backend tracks how many workers are connected and how many are available at any moment via a status endpoint. The README contains setup instructions for both parts. The backend requires Python and a small set of dependencies. The desktop app requires Node.js and can be built for Linux, Windows, or macOS. There is no additional documentation beyond what the README provides.

Copy-paste prompts

Prompt 1
Explain how the WebSocket connection between the Electron worker and Python backend works in HCaptchaSolver.
Prompt 2
Walk me through setting up the Python backend server for HCaptchaSolver.
Prompt 3
Show me how to build the Electron desktop worker for HCaptchaSolver on Linux.

Frequently asked questions

What is hcaptchasolver?

A distributed system with a Python backend and Electron desktop workers that automates solving hCaptcha challenges and returns the resulting token.

What language is hcaptchasolver written in?

Mainly TypeScript. The stack also includes TypeScript, Python, Electron.

How hard is hcaptchasolver to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is hcaptchasolver for?

Mainly developer.

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