Master's thesis chapter scoring 30% — review the high-flagged sections for paraphrasing
For Professors
AI detector for Professors
Reviewing graduate-level work and research drafts for AI-generated content.
Workflow
How professors use AI Checker.
Receive draft from graduate student, research assistant, or peer reviewer
Run through AI Checker for quick screening
Review the sentence-level breakdown for specific suspicious passages
Cross-check flagged sections against domain-specific knowledge
Use detection result as one input among many in editorial decisions
Real scenarios
What professors actually run through AI Checker.
Research paper draft from a co-author scoring 65%
Peer review submission scoring 18% — likely human, but two paragraphs suspicious
Why this fits
The professors use case, in detail.
Professors and academic reviewers face a different problem from K-12 teachers: graduate-level writing is supposed to be formal and precise, which makes AI detection harder. Real human academic writing scores 25-45% on most detectors as a baseline simply because of the formal register. AI Checker addresses this by reporting calibrated confidence intervals rather than raw percentages, and by exposing the underlying signals (perplexity, burstiness, lexical fingerprint) so reviewers can interpret the score in context. For graduate program use, we recommend treating scores below 50% as inconclusive, scores between 50-75% as warranting closer reading, and scores above 75% as worth a direct conversation with the author about authorship and tooling. The API tier supports batch submissions and integration with peer-review platforms.
Professors FAQ
Frequently asked questions
Is AI Checker free for professors?
Yes. AI Checker has a free tier built for professors with no signup required. Higher-volume usage and team features are available on paid plans.
How accurate is detection for this use case?
AI Checker reaches 95-98% accuracy on unedited AI text across all major models (ChatGPT, Claude, Gemini, etc.). Accuracy stays above 90% on lightly edited or paraphrased content. Always pair the score with context — it's a strong signal, not a verdict.
Will my submitted text stay private?
Yes. Text submitted to AI Checker is processed in memory and is not used to train models. We do not sell or share content. Free tier submissions are not stored beyond the analysis itself.
Does AI Checker have an API for this workflow?
Yes. A REST API is available on all tiers — including the free tier with rate limits. Documentation includes example clients for TypeScript, Python, Go, and Rust.
What about false positives?
False positive rate on real human writing is approximately 1-2% across detection benchmarks. We surface this transparently — every result includes a confidence indicator. Reviewing graduate-level work and research drafts for AI-generated content.
More use cases
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