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ddddocr - General Captcha Recognition OCR (通用验证码识别)
ddddocr is a general-purpose OCR library for recognizing various types of captchas, easily installable via pypi. It provides a simple interface for integrating captcha recognition into applications.
Python
Added on 2025年6月15日12,026
Stars2,005
ForksPython
LanguageProject Introduction
Summary
This project offers a robust and user-friendly Optical Character Recognition (OCR) solution specifically trained and optimized for recognizing diverse captcha images.
Problem Solved
Identifying characters or patterns in distorted or noisy captcha images is a significant hurdle for web scraping, automation, and data collection tools. This project provides an automated solution to this problem.
Core Features
High Accuracy Recognition
Achieves high recognition accuracy on a wide range of common captcha images.
Easy Installation (pypi)
Simple `pip install` allows for quick integration into Python projects.
Support for Various Captcha Types
Designed to handle distorted, noisy, or complex captcha formats.
Tech Stack
Python
OCR
Deep Learning (underlying)
Use Cases (使用场景)
ddddocr can be applied in various scenarios where automated captcha solving is required:
Scenario 1: Automating Web Scraping
Details
Integrate ddddocr into web scraping scripts to automatically solve captchas encountered during data extraction.
User Value
Enables reliable and continuous data collection from websites that use captchas.
Scenario 2: Building Automated Tools
Details
Use the library in automated testing frameworks or bots that interact with web applications requiring captcha verification.
User Value
Allows bots and test scripts to proceed through processes that include captcha steps.
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