AI Text Detector for Academic Integrity

An AI text detector estimates whether writing shows patterns associated with machine-generated text. Its output is probabilistic and should be interpreted alongside the document, the writer’s process and the relevant review policy.

Yes. The detector returns an overall AI-likeness result and individual sentence scores, helping a reviewer see which passages contributed more strongly to the result.

Yes. AI detection is not proof of authorship or misconduct. False positives and false negatives are possible, so the result should be one input in a broader human review.

Yes. The detector accepts academic and professional text, including essays, papers, articles, reports and excerpts.

The free offer is a one time 1,000 word scan. Paid plan request limits are 3,500 words on Essential, 8,000 on Premium and 25,000 on Professional.

Yes. You can download a print-ready PDF containing the detection summary, sentence-by-sentence analysis and highlighted document text. You can also create a share link that allows another person to view the results.

Proofademic’s published March 2026 research evaluated output from multiple model families, including GPT-5, Claude Sonnet 4.5 and Gemini 2.5 Pro. Model coverage changes over time, so current coverage should be interpreted with the linked methodology and product documentation.

Paraphrase Shield is included in every plan and is designed to identify AI written text that has been rewritten or passed through a paraphrasing tool. Results remain probabilistic and should be reviewed in context.

In Proofademic’s March 2026 evaluation, the detector recorded a 0.2% document false positive rate on a held out set of 4,200 fully human authored academic texts. The published methodology explains the dataset and evaluation scope.

Yes. The Proofademic text detector API returns document-level confidence and a per-sentence breakdown. Developers can read the API documentation or create a key from the API platform.