Trace predictive generation patterns, linguistic sequencing profiles, and structural artificial fingerprints before submitting to strict academic publishers.
Scan Your Manuscript NowDetection Accuracy
Data Retention
LLM Architecture Mapped
Modern academic journals utilize advanced algorithms to detect LLM (Large Language Model) usage. We help you stay ahead of the curve.
Our engine detects the highly predictable word-choice patterns and sentence structures typical of AI models like ChatGPT and Claude.
Unlike public AI checkers that use your input as training data, our closed-loop system scans and immediately purges your intellectual property.
Ensure your thesis or manuscript meets the strict human-authorship guidelines enforced by Scopus and Web of Science.
Evaluates the complexity of word choices. AI models favor common, mathematically probable words.
Measures sentence length variation. Humans write with highly variable lengths; AI writes uniformly.
Cross-references the document's structure against known LLM generation templates and frameworks.
Delivers a precise, sentence-by-sentence highlight breakdown of flagged synthetic content.
Yes. Even if you use AI solely for grammar editing or translation, heavy AI intervention alters the "burstiness" and "perplexity" of your text. Top journals use specialized scanners that flag these synthetic patterns.
No. We operate a strict Zero-Retention pipeline. Your document is processed in an isolated environment, scored, and immediately purged. It is never used to train LLMs or saved in any repository.
Navigating the complexities of synthetic text in academic writing.