AI Generated Text Detector

What you can check

The checker reads any English prose. People use it to look at a vendor’s email, a freelance article, a batch of product reviews, a report from a colleague or a viral social post. It is a general-purpose tool, so there is no setting to choose. Paste the text, or upload a document, and the same analysis runs.

Different formats behave differently. Marketing copy and templated business emails are often formulaic, which can make human writing look machine-like. Personal posts and opinionated writing tend to be easier to read. Keep the format in mind when you read the result.

What detection finds, and what it does not

Detection finds statistical patterns that are commonly associated with AI-generated writing. It does not find an author. Two people can write in a similar style, and a person can edit generated text until it reads as their own. The result describes the text in front of it, not the history behind it.

Under the hood, the Pangram Labs detector labels each passage as AI-Generated, AI-Assisted or Human Written, with a confidence of High, Medium or Low. We turn those labels into a verdict and a “Flagged as AI-like” share, which is the proportion of passages labeled AI-like, not the chance that the entire text is AI. You can read more in how AI detection works.

What to do with an ambiguous result

Many results land in the middle. When they do, resist the urge to settle the question from the number alone.

• Read the highlights. A few scattered flagged sentences mean something very different from one long flagged stretch.
• Check the length. If the sample is short, find more writing from the same source and check that too.
• Look for specifics. Real names, dates, first-hand details and checkable sources are hard to fake without effort.
• Check the source. A sender, publisher or reviewer with a track record gives you more to go on than the text alone.
• Ask the writer. If it matters, ask how the text was made. A direct question usually settles more than a second tool.

If the result affects someone, such as a contractor’s payment or a person’s reputation, do not decide on a detector result alone. The accuracy page explains the limits plainly.

When results are less reliable

Short texts, heavily edited drafts, translated writing, very formal prose and text by non-native English speakers can all produce misleading results. Scanned PDFs cannot be read at all because they hold images, not text. Results can also differ between sections of the same piece, which is a sign to look harder rather than trust any single run.

If you are checking student work specifically, the teacher page covers a review workflow. For longer academic writing, see the essay checker. The methodology explains what each part of a result represents.

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