A library to break captchas using ONNX models.
Project description
Captcha Breaker

A library to break captchas using a deep learning model.
Provenance
This project's inference code is adapted from the Hugging Face Space by docparser.
The underlying model is a copy of DocParser/captcha, licensed under CC BY 4.0.
A local copy of the model is hosted in this repository for convenience https://github.com/ramSeraph/captchabreaker/releases/tag/model.
Installation
To install the necessary dependencies, run:
pip install captchabreaker
Usage
To use the captcha breaker, you can use the captchabreaker.solve() function.
It takes a PIL Image object as input and returns the predicted text.
Here is an example:
from PIL import Image
import captchabreaker
if __name__ == '__main__':
# This is an example of how to use the captchabreaker package.
# You need to have a captcha image file (e.g., captcha.png) in the same directory.
try:
img = Image.open("sample.png")
text = captchabreaker.solve(img)
print(f"Predicted text: {text}")
except FileNotFoundError:
print("Error: captcha.png not found. Please provide a captcha image.")
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