CatchAI Text

CatchAI Text: Computational Stylometry & Authorship Verification

Designed and maintained by Awana Jonathan and Ogaga-Ochuko D. Oghoghome (Department of Computer Engineering Technology, Petroleum Training Institute, Effurun, Delta State, Nigeria). CatchAI Text evaluates written prose across 10 deterministic statistical dimensions—including Syntactic Burstiness (Coefficient of Variation), Unigram Shannon Entropy, Zipf's Law Power-Law Fit, Herdan's C Lexical Richness, and Bigram Markov Transition Surprisal—directly inside the user's browser sandbox.

Privacy & Ethical Governance: 100% of text detection executes locally on-device with zero remote document storage, ensuring compliance with GDPR, FERPA, and the EU AI Act (Regulation 2024/1689). All outputs include mandatory false-positive guardrails for non-native English (ESL/EFL) writers and technical STEM prose.