AI detector for essays, posts and emails

Is this AI? How to check a text in under a minute

When you look at a piece of writing and wonder “is this AI?”, a detector gives you a fast first read. It works best alongside your own judgment. This routine works for essays, emails, posts and reviews:

1. Paste the whole text, not a single paragraph. Detectors are more reliable on longer passages.
2. Read the score together with the confidence level. A 70% score with low confidence is weaker evidence than 70% with high confidence.
3. Look at the breakdown. Text that is mostly “mixed” often points to AI-assisted editing rather than a fully AI-written draft.
4. Check the writing itself for the signs listed below.
5. If the result matters, compare it with a second tool and look for context such as drafts or version history.

Common signs of AI-written text

No single sign proves anything, but several together are worth a closer look:

• Very even sentence length and rhythm, paragraph after paragraph.
• Generic statements that could fit any topic, with few names, numbers or concrete examples.
• Stock transitions such as “Furthermore”, “Moreover” and “In conclusion” at the start of many sentences.
• Favourite AI phrases like “delve into”, “a testament to”, “in today’s fast-paced world” and “it’s important to note”.
• Lists of exactly three items, and a tidy summary at the end of every paragraph.
• Confident claims with no sources, or sources that don’t exist.

How do AI detectors work?

Language models write by picking likely next words, so AI text tends to be more predictable than human writing. Detectors measure this in a few ways: perplexity (how surprising the word choices are), burstiness (how much sentence length and structure vary), and classifiers trained on large sets of human and AI writing that learn other patterns.

The result is a probability: how closely the text resembles AI-generated writing the detector has learned from. It is not a record of who wrote the text, which is why different detectors can give different scores for the same passage.

How accurate are AI detectors?

Accuracy depends on the text as much as the tool. Detectors tend to do well on long, unedited AI output and on casual human writing. They struggle with short passages, text that was drafted by AI and then edited by a person, and human writing that is very formal or uniform.

False positives are a real problem. Non-native English writers, technical and academic writing, and heavily polished drafts are more likely to be flagged. That is why NotGPT shows a confidence level next to every score, and why no score should be the only evidence that someone used AI.

AI detector vs plagiarism checker

People often mix these up, but they answer different questions:

A text can pass one check and fail the other. NotGPT is an AI detector; it does not check for plagiarism.

What to do if your own writing is flagged

1. Don’t panic. A score is an estimate, not proof.
2. Save your evidence: drafts, version history in Google Docs or Word, notes and sources.
3. Revise the passages that sound most generic and add specific details from your own experience or research.
4. If a teacher or employer asks, explain your process calmly and offer to walk through your drafts.