ChatGPT essay checker without a score

A ChatGPT essay checker reads a draft and reports the stylistic regularities associated with model-generated academic prose: hedging constructions, connector stacking, tricolon lists, unattributed appeals to evidence and a conclusion that recapitulates rather than concludes. It returns those findings with reasons attached.

That is the entire scope. It observes text and nothing else. It has no access to a document's history, no knowledge of who typed it and no ground truth to compare against, which is why what follows is framed as signal rather than as finding of fact.

The procedure is short. The interpretation afterwards is where the work is.

Step 1

Submit the draft, between 1 and 12,000 characters. Submit contiguous text, including the opening and closing paragraphs.

Step 2

Run the check. The text is transmitted to our server, where a language model analyses it and returns findings.

Step 3

Interpret the flags against the writer. A pattern that recurs across an author's earlier work is a habit, not an artefact.

Competing essay checkers return a single figure, typically rendered as a split between AI-generated and original. The figure carries an implicit claim: that some quantity has been measured against a known reference. No such reference exists. There is no labelled corpus of this student's authentic work, no calibration set for this discipline, and no mechanism by which any of these tools observes composition.

The practical consequence is asymmetric. A percentage is unfalsifiable in the room where it matters, because neither the accused nor the accuser can explain its derivation, while a flag on a specific sentence can be examined, agreed with or rejected on inspection. We therefore report signals with reasons and decline to compress them into a number. This is a deliberate refusal, not a missing feature.

Grouped by what each actually indicates, which is not the same for all of them.

Lexical

A narrow high-frequency vocabulary: delve, tapestry, realm, testament. The weakest class, since a single deliberate word choice explains any one instance.

Connective

Moreover, furthermore and additionally in paragraph-initial position across a run of paragraphs. Confounded heavily by taught academic register.

Structural

Uniform paragraph length, consistent tricolon enumeration, and a conclusion that restates rather than extends. The most informative class in a long essay.

Evidentiary

Appeals to studies and experts with no citation attached. Diagnostic of a drafting shortcut whoever took it, which makes it worth fixing regardless.

Rhythmic

Sentence length variance collapsing toward a mean. Requires length to detect at all and is noise below a few hundred words.

Input is accepted between 1 and 12,000 characters per run, with 5 runs per rolling 24 hours. Twelve thousand characters is approximately 1,800 to 2,000 words, which covers a typical single essay but not a dissertation chapter. Several competing free checkers cap at 4,500 characters, roughly 700 words, which is below the length at which structural and rhythmic signals become meaningful at all.

This matters methodologically, not just practically. The signal classes above are not uniformly available at all lengths. Lexical flags appear in a paragraph. Rhythmic and structural flags require enough text for a distribution to exist. A checker capped at 700 words is, by construction, reporting mostly the weakest class of evidence while presenting the output with the same confidence.

No. We do not test against Turnitin, GPTZero, Copyleaks or Originality.ai, we do not tune findings against any detector's scoring, and we hold no affiliation with any of them. Their methods are proprietary and their thresholds are not published, so a prediction would have nothing behind it.

This should be read as a statement about the whole category. Any tool claiming to guarantee a particular verdict from a third-party detector is claiming knowledge of a system it does not operate. The verifiable effect available here is narrower and honest: the draft's recognisable patterns are itemised, and addressing them improves the prose on its own terms.

Every signal listed above predates the models. Hedged claims, signposted connectives, three-part enumeration and summarising conclusions are explicitly taught as academic writing, which means the population of students producing them honestly is large. When a base rate is high, any detector operating at scale generates a substantial absolute number of false positives regardless of how well it performs on a benchmark.

The burden falls unevenly. Writers working in a second language reach for formal connectives because those were drilled as correct register. Writers with a highly systematic drafting process produce the structural uniformity that the structural class rewards. Treating a signal count as evidence against an individual inverts the logic: it takes a property shared by a large honest population and reads it as distinguishing. The checker reports; it does not conclude, and neither should a reader of its output.

Students auditing a draft after using a model for outlining or tightening, who want the residue itemised before submission. Students who wrote unaided and want to understand why their prose reads as generic, which is a legitimate and separable editorial question.

Academic staff who need language for feedback. A named pattern with a reason is teachable; a percentage is not, and handing a student a number they cannot interrogate is a worse pedagogical act than saying nothing. Worth noting about this search results page generally: several of the free essay detectors ranking for it are hosted by services that also sell essay writing and rewriting, which is a conflict of interest worth weighing before trusting a verdict from one.