Python library utilizes AiCaptcha's API to solve captcha challenges with the power of AI. With our advanced technology, you can effortlessly handle various types of captcha challenges without any hassle.
To install the library, simply run the following command:
pip install aicaptcha
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hCaptcha -
ReCaptchaV3 -
Audio Captcha -
Object Recognition Captcha
To use the library, import the AiCaptcha class from the aicaptcha module, create an instance of the class with your API key, and call the appropriate method to solve the captcha.
a433a493-bc2c-41a7-baab-fb898442d2edHCaptcha is a type of captcha that asks users to select certain images that match a given description. To solve an HCaptcha using the AiCaptcha library, you can use the Hcaptcha method and pass in the site_key and page_url parameters, as well as your user agent string. Here's an example:
from aicaptcha import AiCaptcha
api_key = "your_api_key_here"
solver = AiCaptcha(api_key)
hcaptcha_result = solver.Hcaptcha(site_key="hcaptcha_site_key_here", page_url="hcaptcha_page_url_here", user_agent="your_user_agent_here")
print(hcaptcha_result.token)
print(hcaptcha_result.key)ReCaptchaV3 is a type of captcha that uses a risk analysis engine to determine whether a user is a bot or a human. To solve a ReCaptchaV3 using the AiCaptcha library, you can use the ReCaptchaV3 method and pass in the type, site_key, page_url, and action parameters. Here's an example:
from aicaptcha import AiCaptcha
api_key = "your_api_key_here"
solver = AiCaptcha(api_key)
recaptchav3_result = solver.ReCaptchaV3(type="recaptchav3_type(enterprise/normal)", site_key="recaptchav3_site_key_here", page_url="recaptchav3_page_url_here", action="recaptchav3_action_here")
print(recaptchav3_result.token)Audio Captcha is a type of captcha that plays an audio clip containing a sequence of numbers or letters, which the user is required to transcribe. To solve an Audio Captcha using the AiCaptcha library, you can use the Audio method and pass in the audio parameter, which can be either the filename or content or URL of the audio file. If you set the numbers_sensitivity parameter to True, the recognition will be performed on both numbers and letters, but with a higher sensitivity to numbers, which can increase the accuracy of the recognition for number sequences. Here's an example:
from aicaptcha import AiCaptcha
api_key = "your_api_key_here"
solver = AiCaptcha(api_key)
audio_captcha_result = solver.Audio(audio="audio_filename_or_content_or_url", numbers_sensitivity=False)
print(audio_captcha_result.text)
print(audio_captcha_result.confidence)Object Recognition Captcha is a type of captcha that shows an image containing multiple objects, and the user is required to select all objects of a certain type. To solve an Object Recognition Captcha using the AiCaptcha library, you can use the ObjectRecognition method and pass in the image parameter, which can be either the filename or content or URL of the image. You can also set the max_results parameter to specify the maximum number of objects to return. Here's an example:
from aicaptcha import AiCaptcha
api_key = "your_api_key_here"
solver = AiCaptcha(api_key)
object_recognition_captcha_result = solver.ObjectRecognition(image="image_filename_or_content_or_url", max_results=5)
print(object_recognition_captcha_result.results)
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