AI Content Detector
Detect whether text was written by AI or a human with confidence scoring.
How the Detection Actually Works
AI detectors look at several writing signals at once:
- Perplexity - This measures how predictable the next word is. AI text often picks the expected word more often than people do.
- Burstiness - Human writing usually mixes short sentences with longer ones. AI text often keeps a steadier rhythm.
- Vocabulary patterns - Some words show up again and again in AI drafts. The detector looks for that repeated, polished feel.
- Structural repetition - AI often follows the same paragraph shape over and over. Human drafts tend to be less tidy.
Where the Scores Are Reliable - and Where They Are Not
No detector is perfect, including this one. Longer, unedited text gives a much better signal than a short paragraph. Three cases are consistently hard to judge: very short snippets, AI text that a person has heavily edited, and formal English written by non-native speakers, which can share surface patterns with machine output. Treat the result as a reason to look closer, never as proof on its own.
What Detectors Can't Do
Detectors can't tell you which AI model wrote something. They can't reliably catch heavily edited AI text. They also can't always separate a careful human writer from a machine-written draft. If a result looks serious, read the text yourself before making a decision.
When to Use AI Detection
Teachers can use it to decide what needs a closer look. Editors can use it to review suspicious submissions. SEO teams can use it as one more quality check. In all cases, it should start a review, not end one.
How to Use
- Paste the text you want to check into the editor.
- Click Analyze to run the detection.
- Review the confidence score and highlighted sections.
- Use the detailed breakdown to see which patterns were flagged.
Frequently Asked Questions
How accurate is this AI detector?
It is more useful on longer text than on short snippets. No detector should be treated as final proof. Use the score, the highlighted patterns and your own reading together.
Why do different AI detectors give different scores?
They look for different signals and use different training data. One detector may focus on sentence rhythm. Another may look at predictability or repeated structure. Treat the result as a clue, not a verdict.
Do AI detectors have bias against non-native English speakers?
They can. Clear, structured writing from non-native speakers may look similar to AI patterns. Be careful with any result that affects a real person.
Can it tell me which AI model wrote the text?
The detector can't name the model. It reads writing patterns shared by all large language models - ChatGPT, Claude, Gemini - and those patterns overlap too much to tell the systems apart.
Is my text stored or shared after analysis?
WordCounterz does not store your text after the result is returned. AI requests are sent to our API providers for processing, so their own privacy terms also apply.