ScribeLens

An AI detector that shows teachers the evidence

Most detectors hand you a percentage and leave you to defend it. ScribeLens shows which sentences triggered the signal and why, so a conversation with a student can start from specifics instead of an accusation.

Why a single percentage is not enough

A number like "82% AI" tells you nothing you can act on. It does not say which paragraph looked unusual, what pattern caused it, or how confident the analysis actually is.

ScribeLens reports the same overall interpretation, but attaches sentence-level signals and reason keywords underneath it. If only the introduction and conclusion are flagged while the body reads as human, that is a very different situation from a uniformly flagged document — and you can see the difference immediately.

Built for the conversation, not the verdict

The hardest part of suspected AI use is the discussion that follows. Sentence-level evidence changes that discussion from "a tool says you cheated" to "these three sentences show patterns worth talking about — walk me through how you wrote them."

That framing is fairer to students and far more defensible for you.

What this tool will not do

It will not tell you a student cheated. AI detection is probabilistic pattern analysis, not proof — which is exactly why ScribeLens surfaces sentence-level evidence and reason keywords instead of a bare score, especially for formal academic prose, heavily edited work, and writing by multilingual students, where surface patterns can look deceptively uniform.

Treat the output as one input alongside draft history, prior submissions, and a conversation with the student. A policy built on a bare score, with no evidence attached, is hard to defend and unfair to the student it's applied to.

Frequently asked questions

Can I use this as proof of academic misconduct?

No. Use it as supporting evidence only. Final decisions should include revision history, sources, prior work, and a conversation with the student.

What about false positives on ESL students?

It's a known failure mode across pattern-based detection generally: multilingual writers often use more formulaic structures that can read as flaggable. It's exactly why ScribeLens weighs sentence-level evidence instead of resolving everything into one score — always read that evidence, not just the overall number, before drawing a conclusion.

Do I need an account to try it?

No. You can run a guest check without signing up. A free account raises your monthly token allowance and enables PDF report exports.

Does it handle citations and reference lists?

Yes. Reference lists, citations, and publisher boilerplate are set aside automatically so they do not distort the verdict.

Check a draft with the evidence visible

Paste any student draft and see the sentence-level signals before you draw a conclusion. Free, no signup needed.