Github Funcaptcha Solver May 2026

A large portion of GitHub repositories focus on the automation framework rather than the solving logic itself.

Many repositories act as clients to commercial solving services (e.g., 2Captcha, CapSolver) that use human farms or advanced AI. These are less “pure” solvers but appear frequently.

Example: funcaptcha-auto-solver – integrates Puppeteer with CapSolver API. github funcaptcha solver

Because maintaining an open-source solver is resource-intensive, the vast majority of functioning "solvers" on GitHub are actually wrappers for paid APIs.

Developers often publish libraries that connect to services like: A large portion of GitHub repositories focus on

These repositories do not solve the CAPTCHA themselves. Instead, they send the CAPTCHA parameters to a service where human workers or proprietary AI solve it, returning the token to the script. While this incurs a cost per solve, it is significantly more reliable than maintaining a local, open-source solver.

While specific URLs change frequently due to DMCA takedowns (Arkose Labs is notoriously litigious), certain "types" of solvers persist. Based on star count and forks, here is what works as of 2025. These repositories do not solve the CAPTCHA themselves

Some solvers treat slide-to-fit as a continuous control problem, using DQN or PPO trained in a simulated environment. Rare on GitHub due to training complexity.

from funcaptcha_solver import FuncaptchaSolver
solver = FuncaptchaSolver(headless=True)
solution = solver.solve(target_url="https://example.com")
print(solution.status)