AI Authorship Detection
Statistical analysis of vocabulary diversity (TTR), sentence burstiness, and structural regularity — calibrated specifically for scientific manuscripts.
AI-assisted manuscript analysis with human editorial expertise.
ScrivaLens was created to bridge the gap between manuscript preparation and journal submission. Desk rejection rates in peer-reviewed journals average 40–60%, and many rejections happen because of structural inconsistencies, undeclared AI use, missing ethics information, or data contradictions — all correctable before submission.
We combine AI-powered analytical modules with experienced human editorial supervision to deliver structured, actionable reports that help researchers arrive better prepared — saving months of back-and-forth with editors.
ScrivaLens analyzes manuscripts across four core dimensions:
Statistical analysis of vocabulary diversity (TTR), sentence burstiness, and structural regularity — calibrated specifically for scientific manuscripts.
Cross-referencing abstract, methods, results, tables, and figures for contradictions invisible to the author but immediately visible to editors.
Systematic verification of ethics committee declarations, Declaration of Helsinki compliance, AI tool declarations, and approval number completeness.
Unique Tracking Numbers per report allow authors to submit revised versions and receive objective improvement scores — documented proof of quality.
ScrivaLens is an independent service. We are not affiliated with, endorsed by, or associated with any academic journal, publisher, university, indexing database, or peer review organization.
Our reports are analytical tools — they do not constitute scientific peer review, editorial endorsement, or any guarantee of journal acceptance. The author retains full responsibility for all decisions regarding manuscript revision and submission.