Codeleaks is an innovative source code AI detection tool offered by Copyleaks. This robust solution proactively mitigates risk and ensures full transparency by detecting AI-generated code, plagiarized and modified source code, and providing essential licensing details. When combined with Copyleaks' award-winning AI Content Detector and Plagiarism Detector, Codeleaks creates a full-spectrum suite dedicated to generating and ensuring original, error-free content.

One of the key features of Codeleaks is its ability to identify paraphrased code at the function level, highlighting potentially paraphrased code in yellow for easy identification. This feature sets Codeleaks apart from other source code detectors that only look for identical text matches. Additionally, Codeleaks ensures source code visibility by detecting if code was AI-generated and identifying any plagiarism or modifications, even in cases where elements have been altered or portions changed.

Moreover, Codeleaks helps users mitigate potential licensing and copyright infringement issues by providing alerts for licensing details and conducting searches across popular open-source code repositories. The tool also aids in keeping proprietary code secure through regular monitoring and automated scans that alert users to potential infringements or leaks.

Codeleaks supports multiple coding languages, including Ruby, JavaScript, CSS, Markdown, TypeScript, Python, C++, C, Java, C#, and PHP, and provides accurate and in-depth results. The platform offers key features such as AI-generated code detection with high accuracy, licensing detail alerts, and the ability to identify plagiarism and modifications in source code.

Overall, Codeleaks empowers users to confidently navigate source code in the age of AI, offering a comprehensive solution for detecting AI-generated code, plagiarism, and providing essential licensing information. Users can integrate Codeleaks with other Copyleaks products for a synergistic effect, enhancing their capabilities in content verification and ensuring originality across multiple domains.