AI GPTZero checker

GPTCleanup Pro's AI GPTZero checker reads a passage and reports the writing-rhythm patterns typical of AI-generated content, the low-predictability, evenly-paced sentences a perplexity-and-burstiness style checker tends to weigh, with each pattern named and explained rather than compressed into a single guessed number.

It's a server tool by necessity. Scoring against a rhythm-pattern model is too heavy to run in a browser, so text is sent to our AI server and the result returns to the page. You get 5 free checks in any rolling 24 hours, no account required.

The output is a list, deliberately. A checker that returns a bare percentage is asking for unearned trust; this one names each pattern (a flattened topic sentence, a run of uniform sentence length, a predictable transition) so the reasoning is available for inspection.

Perplexity quantifies how predictable each next word is to a language model. Text built from safe, expected word choices scores low; text with more surprising, specific wording scores higher. AI-generated text tends to sit toward the low end.

Burstiness measures how much that predictability varies across a document. Human writing tends to burst, alternating short blunt sentences with long, winding ones. AI-generated text tends to stay flatter and more even. Neither measure is proof on its own; both are imperfect statistical proxies, and both are known to misfire on plenty of legitimate human writing.

One round trip to the server, then a reasoned result. No configuration required beforehand.

Step 1

Paste the sample. A longer passage gives the model more rhythm to measure than a single sentence would.

Step 2

Run the check. The text is sent once to our AI server, scored against known AI-writing patterns, and nothing further is done with it.

Step 3

Review each flagged pattern and its stated reasoning, an argument you can inspect rather than a number you're asked to trust.

No, and stating that plainly is more useful than avoiding it. GPTZero's exact scoring model, decision thresholds and training data are proprietary, and the company revises them without public notice. Any claim to reproduce its output would be guesswork dressed up as precision.

This tool has no access to that system, so what it offers instead is a defensible, separate signal: whether the writing itself carries perplexity-and-burstiness-style patterns typical of AI generation.

Low perplexity and low burstiness are not unique to AI text. Several categories of honest writing share the same flat rhythm for reasons that have nothing to do with a chatbot.

Second-language writers

Careful, safe word choices in a non-native language reliably produce low perplexity, a documented source of false positives.

Neurodivergent writers

Naturally even, formulaic sentence rhythm reads as machine-typical to a burstiness check, independent of authorship.

Formulaic professional prose

Technical manuals and compliance documents are written to be predictable by design.

Heavily edited AI drafts

Sentence-by-sentence human rewriting can raise both measures without the underlying content becoming genuinely different.

A flag from this tool, or any detector, is a signal rather than a finding. Institutions set their own policy for what follows, and evidence of process is the strongest response available.

Preserve your drafts

Outlines and earlier versions are the clearest evidence a piece was composed, not generated whole.

Retain version history

Docs, Word and most editors log revisions automatically; leave it intact while a question is open.

Ask for the named signal, not the label

A specific pattern can be examined on its merits. An unexplained score cannot.

The same checker, applied at different points in a review process.

Students

A private, informal read before submission, alongside their own honest review of the draft.

Editors and reviewers

A first pass on incoming drafts that read unusually flat before committing editorial time.

Hiring reviewers

Checking whether a writing sample's rhythm matches the rest of an application.

This checker is server-side by design: scoring against AI-writing patterns requires a model too large to ship into a page, so each check is a single round trip rather than local computation.

That trip is metered rather than unlimited: 5 free checks in any rolling 24-hour window, tracked without an account. It reopens as the window rolls forward rather than resetting at a fixed hour.