Copyleaks uses a multi-model analysis approach that combines plagiarism detection with AI content detection. It's used by academic institutions, publishers, and enterprise companies worldwide.
Copyleaks detection features:
Copyleaks Weaknesses
Structured writing bias
Technical documentation, legal writing, and academic papers with consistent formatting often trigger false positives.
Short text limitations
Like most detectors, Copyleaks struggles with texts under 200 words. Short-form content is unreliable.
Heavily edited AI text
When humans substantially edit AI-generated drafts, Copyleaks accuracy drops significantly.
6.8% false positive rate
While better than some competitors, nearly 1 in 15 human texts still gets incorrectly flagged.
How to Pass Copyleaks
Vary your writing style within the document
Copyleaks looks for stylistic consistency — a hallmark of AI. Intentionally shift your tone between sections.
Use domain-specific terminology
AI produces generic vocabulary. Using precise jargon from your field signals human expertise.
Include original analysis, not just summaries
AI excels at summarizing existing knowledge. Original analysis, comparisons, and novel arguments are harder for it to generate — and harder for detectors to flag.
Add conversational elements
Rhetorical questions, asides, and direct address ("you might be thinking...") break the formal patterns Copyleaks looks for.
Pass Copyleaks automatically.
Humaneer breaks the patterns Copyleaks looks for — stylistic consistency, uniform vocabulary, and structural predictability.
Try Humaneer →© 2026 Humaneer. All rights reserved.