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AI Text Detector

Check if text was written by AI

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Since ChatGPT made machine-written text ubiquitous, educators, editors and publishers have needed a quick signal about whether a document came from a person. AI text detectors work on statistical cues: language models pick high-probability words, which produces unnaturally uniform sentence lengths, low lexical variety, repetitive transitions and a kind of polished blandness that human writing rarely sustains. These heuristics are genuinely informative — but no detector is infallible, and false positives are a real risk, especially with non-native writers whose prose can be formulaic.

This free AI content detector runs entirely in your browser and scores seven independent signals: stock LLM phrasing, sentence-length variation, informal human markers, em-dash and colon density, vocabulary variety, repeated sentence openings and the three-item list habit. Rather than averaging them, it accumulates them as evidence, so two strong signals are not cancelled out by quiet ones — and a signal that finds nothing counts as nothing rather than voting 'human'. Every signal reports on its own line, including when your sample is too short for it to mean anything, so you can see exactly what produced the number. Paste at least 80 words; 200 or more is noticeably more reliable. Treat the result as triage, never as proof of misconduct.

Why use AI Text Detector

Screening student submissions

Teachers can triage a pile of essays to see which deserve a conversation — paired with drafts and writing history, not as sole evidence.

Vetting freelance and guest content

Editors check whether paid submissions are genuinely human-written before publishing under their brand.

Auditing your own AI-assisted drafts

Writers who use AI for outlines check the final text to confirm their editing left a human fingerprint.

Quality control on content pipelines

SEO teams spot-check bulk content for the uniformity patterns that search engines increasingly discount.

Pro tips

  • Use at least 80 words, and 200+ where you can. Below that, several signals switch themselves off rather than report noise — you will see them marked as such.
  • A high score is a prompt to look closer, not a verdict — formulaic human writing (legal text, technical reports) often trips detectors.
  • Check the signal breakdown: uniformly medium-length sentences plus repeated connectors ('moreover', 'in conclusion') are stronger evidence than the score alone.
  • Compare against a known-human sample from the same author; deviation from someone's normal style is the most reliable signal of all.

How to use AI Text Detector

  1. 1Paste at least 80 words of text
  2. 2Click Analyze
  3. 3Read the verdict band, not just the number
  4. 4Open the signal breakdown to see what drove it

Frequently Asked Questions

How accurate is it?

Treat it as an indicator, never as proof. It measures writing patterns — sentence-length variation, stock phrasing, em-dash density and informal markers — and combines them into an estimate. Careful editing hides those patterns and models can imitate casual writing, so a middle score genuinely means undecided.

Is my text sent anywhere?

No — the entire analysis runs in your browser and nothing is uploaded or logged.

What text length works best?

80 words is the minimum and 200+ is much better. Several signals, including vocabulary variety, switch themselves off on short samples rather than report noise.

Can I use this to accuse someone of cheating?

No. No detector can prove authorship, and heuristic tools are known to misjudge non-native English writers in particular. Use it to decide whether a closer look is warranted, nothing more.

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