AI Content Detector
AI writing detectors estimate the likelihood that a piece of text was generated by an AI model versus written by a person. No detector — including this one — is perfectly accurate, and results should be treated as a signal to investigate further, not as definitive proof.
Your text is sent securely to generate this result and is not stored or used to train any model.
Our research consultants can review your manuscript for clarity, originality, and academic tone.
How it works
- 1Paste the text you want to check (at least a few sentences).
- 2Click Analyze.
- 3Review the estimated AI-writing and human-writing probability, along with a short explanation.
Who this is for
- ✓Reviewing your own drafts before submission, especially after using AI-assisted writing tools.
- ✓Getting a second signal on a passage that reads unusually uniform or generic.
- ✓Checking collaborative or outsourced writing before you put your name on it.
What Is an AI Content Detector?
An AI content detector is a model trained to spot statistical fingerprints that tend to separate machine-generated text from human writing. It doesn't "know" who wrote something the way a person would recognize a friend's voice. Instead, it looks at patterns like perplexity (how predictable each word choice is given the words before it) and burstiness (how much sentence length and structure vary across a passage). Human writing tends to be uneven — some short sentences, some long and messy ones, occasional odd word choices. Machine-generated text is often more uniform and statistically "smooth."
What this means practically: a detector can tell you how closely a piece of text resembles patterns typical of AI output, but it cannot see who actually typed the words, verify authorship, or read intent. It's a pattern-matching estimate, not a lie detector.
When Should You Use an AI Content Detector?
This tool is most useful as a quick sanity check rather than a verdict. A few realistic scenarios: if you used an AI assistant to help draft or edit part of your own paper, running it through the detector before submission can flag passages that still read as heavily machine-influenced, giving you a chance to revise them in your own voice. If you're reviewing writing — your own or someone else's — and notice it reads unusually uniform or oddly generic, the detector can give you a second data point to weigh alongside your own judgment.
It's also useful when reviewing collaborative or outsourced work, such as text from a co-author, research assistant, or freelance editor, where you simply want a signal on whether a section deserves a closer read. Treat the output as a starting point for further review, not as the final word.
AI Detection Accuracy and Its Limits
No AI detector, including this one, is perfectly reliable, and it's worth understanding why. False positives happen: heavily edited, polished, or non-native-English writing can sometimes resemble AI-generated patterns simply because it's cleaner and more evenly structured than typical first-draft prose. False negatives happen too: text that started as AI output but was substantially rewritten, restructured, or blended with human editing can lose the statistical signals detectors rely on and pass as human-written.
Length matters as well. Short passages give the model far less pattern data to work with, so confidence tends to drop noticeably on excerpts of just a sentence or two compared to full paragraphs or pages. None of this makes the tool useless — it just means a result should always be read as a probability estimate with real uncertainty attached, not as a fact.
Responsible Use in Academic Writing
The most responsible way to use a detector result is as a prompt for your own closer reading, not as proof of anything. If a score comes back higher than expected on your own writing, use it as a cue to revise the flagged sections in your own words rather than treating the number as a problem to fix. If you're evaluating someone else's work, a detector score alone is not sufficient grounds to accuse them of misconduct — it's a signal that may warrant a conversation, not a conclusion.
Academic integrity policies on AI use vary widely between institutions, departments, and even instructors, and they keep changing as norms evolve. Before relying on any detector result in a formal setting, check what your institution actually permits and how it expects AI-assistance concerns to be handled, since that policy — not a detector score — is the real standard you're accountable to.
Frequently asked questions
No AI detector is 100% accurate, including this one — and we won't claim otherwise. Detectors can both miss AI-written text and incorrectly flag human writing, especially short or heavily-edited passages.
Treat it as a prompt to review the passage yourself — check for factual accuracy, your own voice, and proper citation — rather than as a verdict.
Very short passages don't give a detector enough signal to produce a meaningful estimate, so results on very short text tend to be unreliable.