About Dodgy Analyzer

Dodgy Analyzer was created to address a growing challenge: distinguishing human-written content from AI-assisted text.

Instead of relying on opaque or exaggerated claims, we analyze linguistic behavior such as predictability, repetition bias, and entropy patterns.

Our goal is transparency, not surveillance. Results should be used as a supporting signal, not as final judgment.

Each analysis can be exported as a clean PDF for documentation, review, or reference purposes.

Dodgy Analyzer is intended for writers, educators, and businesses who want to better understand the origin of written content. It is not designed to be used alone for high-stakes decisions.

This project is built by two developers passionate about AI, language, and responsible tooling. We welcome feedback and collaboration to continuously improve Dodgy Analyzer.

Team
Tapesh — Founder of Dodgy
Akiro (also known as Deep) — Full-Stack Developer

For inquiries, partnerships, or support, please visit the Contact page.

Thank you for your interest. For detailed progress notes, visit the Updates page.