Skip to main content

Python library for solving Google reCAPTCHA challenges

Project description

Captchium

Captchium is a Python library for solving Google reCAPTCHA challenges using audio recognition. It provides a convenient way to automate CAPTCHA solving in web scraping or automation tasks.

Installation

To install Captchium, you can use pip:

pip install captchium

Usage

Here's an example of how to use Captchium:

from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium import webdriver
from captchium import Captchium
from driverium import Driverium

# Create a web driver instance
driver_options = webdriver.ChromeOptions()
service = Service(Driverium().get_driver())
driver = webdriver.Chrome(service=service, options=driver_options)

# Initialize Captchium with the web driver instance
captchium = Captchium(driver, recognize_service="google")

# Solve the CAPTCHA challenge within an iframe
iframe = driver.find_element(By.TAG_NAME, "iframe")
captchium.solve(iframe)

# Continue with your automation task
# ...

To use the solve function, you need to pass the iframe element that opens after clicking on the CAPTCHA. This can be done by locating the iframe element using Selenium's find_element method and passing it as an argument to the solve function.

Do not pass this iframe to the function

Not this iframe

Pass this iframe

This iframe

Supported Audio Recognition Services

Captchium currently supports two audio recognition services: Google and Vosk. By default, it uses the Google service. You can specify the service when initializing Captchium:

captchium = Captchium(driver, recognize_service="vosk", model_path="path/to/model")

Please note that if you choose the Vosk service, you need to download the Vosk model from https://alphacephei.com/vosk/models and unpack it as 'model' in the current folder or specify the path to the model using the model_path parameter.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the Captchium GitHub repository.

License

Captchium is licensed under the MIT License. See the LICENSE file for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

captchium-1.1.5.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

captchium-1.1.5-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file captchium-1.1.5.tar.gz.

File metadata

  • Download URL: captchium-1.1.5.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.7

File hashes

Hashes for captchium-1.1.5.tar.gz
Algorithm Hash digest
SHA256 44941b7b59a7a3dadb169576b3110b687e61318d822971a4651b30e16a9fa6be
MD5 b1edcd98ae402e3c7aac82da0a701ff4
BLAKE2b-256 f3b2fe6c43dbb8da159e50c12646ca264d99ee6a7d9eb5ab39c7a95b17076af2

See more details on using hashes here.

File details

Details for the file captchium-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: captchium-1.1.5-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.7

File hashes

Hashes for captchium-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 dea84e280bfa3f9f442370015c08c01856b6dacdced8d83bb31862bc0b5e9013
MD5 1b355ec14ecc0fe49eb9bc2ae26bfc7f
BLAKE2b-256 2f4b21901af068f8d1864306888b7c9e55c8d8f0e7d5e1c5ecfb0a706db73fe3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page