Captcha Solver Python Github Exclusive Jun 2026

# Create the image file path = os.path.join(output_dir, f"text_i.png") image.write(text, path)

| CAPTCHA Type | Free GitHub Solver Accuracy | Average Solve Time | Paid API (2Captcha) | |--------------|-----------------------------|--------------------|----------------------| | Simple Text | 95% (Tesseract + cleaning) | 0.8 sec | $0.50/1000 solves | | reCAPTCHA v2 (Image) | 72% (YOLO custom) | 3-5 sec | $2.99/1000 solves | | reCAPTCHA v2 (Audio) | 88% (Whisper small) | 2 sec | $2.99/1000 solves | | hCaptcha (Image) | 65% (trained on 10k images) | 6 sec | $3.50/1000 solves |

Browser automation frameworks like Selenium, Playwright, or Puppeteer. 3. API Wrapper Solvers captcha solver python github exclusive

class ExclusiveCaptchaSolver: def (self, headless=True): self.headless = headless

import os import urllib.request import asyncio from playwright.async_api import async_playwright import speech_recognition as sr from pydub import AudioSegment async def solve_audio_captcha(page): # Locate and switch to the main reCAPTCHA checkbox iframe iframe_element = await page.wait_for_selector("iframe[src*='api2/anchor']") iframe = await iframe_element.content_frame() # Click the checkbox to trigger the challenge await iframe.click("#recaptcha-anchor") await asyncio.sleep(2) # Switch to the security challenge iframe popup challenge_iframe_element = await page.wait_for_selector("iframe[src*='api2/bframe']") challenge_iframe = await challenge_iframe_element.content_frame() # Click the audio challenge button await challenge_iframe.click("#recaptcha-audio-button") await asyncio.sleep(2) # Retrieve the download URL for the audio payload audio_url = await challenge_iframe.get_attribute("#audio-source", "src") # Download the audio payload locally local_mp3 = "captcha_audio.mp3" local_wav = "captcha_audio.wav" urllib.request.urlretrieve(audio_url, local_mp3) # Convert MP3 payload to WAV format for the recognition engine sound = AudioSegment.from_mp3(local_mp3) sound.export(local_wav, format="wav") # Initialize the Speech Recognition engine recognizer = sr.Recognizer() with sr.AudioFile(local_wav) as source: audio_data = recognizer.record(source) # Transcribe the audio via Google's free speech-to-text API try: text_result = recognizer.recognize_google(audio_data) print(f"[+] Solved Transcription: text_result") except sr.UnknownValueError: print("[-] Audio transcription failed.") return False # Input the transcribed text string into the response field await challenge_iframe.fill("#audio-response", text_result) await challenge_iframe.click("#recaptcha-verify-button") await asyncio.sleep(2) # Clean up local file system artifacts os.remove(local_mp3) os.remove(local_wav) return True async def main(): async with async_playwright() as p: browser = await p.chromium.launch(headless=False) page = await browser.new_page() # Navigate to a verification target URL await page.goto("https://google.com") await solve_audio_captcha(page) await browser.close() if __name__ == "__main__": asyncio.run(main()) Use code with caution. Maximizing Operational Success Rates # Create the image file path = os

Python is a popular programming language used extensively in web scraping, data mining, and automation. By leveraging a CAPTCHA solver Python library, developers can easily integrate CAPTCHA-solving capabilities into their projects, making it possible to automate tasks that were previously impossible due to CAPTCHA protection.

It bridges the gap between complex AI solving and simple implementation. 2. completcha/completcha-python Maximizing Operational Success Rates Python is a popular

The you are targeting (e.g., standard text, image puzzles, reCAPTCHA audio).

def predict_text(self, image_path): """ Stage 3: Prediction Pipeline. """ print(f"[*] Processing image_path...")

Exclusive repos usually integrate with undetected-chromedriver or playwright-stealth .