Github Funcaptcha Solver May 2026

Preprocess the image to enhance its quality:

Example Code (Node.js)

const sharp = require('sharp');
sharp(image)
  .greyscale()
  .toBuffer()
  .then(greyscaleImage => 
    // Detect and classify objects...
  )
  .catch(error => console.error(error));

Combine the steps above to create a complete Funcaptcha solver: github funcaptcha solver

const axios = require('axios');
const sharp = require('sharp');
const cv = require('opencv4nodejs');
const puppeteer = require('puppeteer');
// Fetch the Funcaptcha image...
axios.get(funcaptchaEndpoint)
  .then(response => 
    const imageData = response.data.image;
    const image = Buffer.from(imageData, 'base64');
// Preprocess the image...
    sharp(image)
      .greyscale()
      .toBuffer()
      .then(greyscaleImage => 
        // Detect and classify objects...
        const objects = cv.detectObjects(greyscaleImage);
        objects.forEach(object => 
          // Classify the object...
        );
// Simulate user interactions...
        const browser = await puppeteer.launch();
        const page = await browser.newPage();
        await page.goto('https://example.com/funcaptcha');
        await page.click('#captcha-object-1');
        await page.click('#captcha-object-2');
// Verify the solution...
        await page.waitForNavigation();
      )
      .catch(error => console.error(error));
  )
  .catch(error => console.error(error));

Target Audience: Developers, Automation Engineers, Security Researchers. Topic: Open-source resources for handling Arkose Labs FunCaptcha.

Because maintaining an open-source solver is resource-intensive, the vast majority of functioning "solvers" on GitHub are actually wrappers for paid APIs. Preprocess the image to enhance its quality:

Developers often publish libraries that connect to services like:

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. Example Code (Node

If you browse the repositories (often written in Python, JavaScript, or Go), you will notice common architectural patterns. A robust solver generally consists of three layers: