How it works
The AI Text Detector & Humanizer does two jobs in one place. First, the detector reads your text and produces an estimate of how AI-generated it appears. Second, the humanizer rewrites that text into a clearer, more natural version while preserving its meaning. Everything happens inside your browser — your text is never uploaded to a server, stored, or shared.
The detector doesn't rely on a single magic number. Instead it scores several independent stylistic signals and blends them into one estimate. Each signal reflects a well-documented difference between how people write and how large language models tend to write:
- Sentence uniformity (burstiness). People naturally mix very short sentences with long, winding ones. AI output often holds a steady, even rhythm. We measure how much your sentence lengths vary — low variation pushes the score up.
- Buzzword density. Models over-produce a recognisable vocabulary: leverage, utilize, comprehensive, robust, seamless, delve, pivotal. The more of these per hundred words, the more machine-like the text reads.
- Generic transitions. Sentences that repeatedly open with Moreover, Furthermore, Additionally, or In conclusion are a strong template tell.
- Personal voice. First-person perspective, contractions, and concrete opinions are hard for generic AI text to fake. Their absence raises the AI estimate.
- Repetition. Repeated sentence openers and recycled three-word phrases suggest formulaic generation.
- Stylistic tells. Certain punctuation habits — notably heavy em-dash use — correlate with AI drafting.
Each signal is shown separately in the result panel, so you can see why the tool reached its estimate rather than just trusting a single percentage. The final AI-probability score is a weighted blend, and the human-like score is simply its inverse.
What makes text look AI-generated?
If you've read enough machine-written articles, you can often feel that something is “off” before you can name it. The detector turns that gut feeling into specific, fixable signals. Here's what to watch for in your own drafts.
Even, predictable rhythm
The single biggest tell is rhythm. Language models are trained to produce fluent, average sentences, so their output tends to cluster around a similar length and structure. Human writing is bursty: a three-word sentence lands hard, then a longer one explains the nuance. When every sentence is roughly the same length and shape, the text feels manufactured even if every individual sentence is grammatically perfect.
Inflated vocabulary
AI drafts reach for impressive-sounding words where a plain one would do. Utilize instead of use. Facilitate instead of help. A myriad of instead of many. Individually these are fine words, but in bulk they create a hollow, corporate texture that readers quickly tune out — and that detectors learn to flag.
Templated connective tissue
Models love to signpost. They stack transitions — Moreover… Furthermore… Additionally… In conclusion… — at the start of consecutive paragraphs. Good human writers usually connect ideas more invisibly, letting one sentence flow into the next without an explicit label.
No fingerprints
Perhaps the clearest human signal is specificity. A real person brings a concrete example, a number they remember, a mild opinion, or a first-hand observation. Generic AI prose tends to stay safely abstract, hedging every claim and avoiding any detail that would tie it to a particular writer. Adding even one genuine, specific detail can transform how a passage reads.
How to make AI text sound human
The goal here is not to trick anyone — it's to make your writing clearer, warmer, and more useful to read. A good AI draft is a starting point; the editing is where it becomes yours. The humanizer automates the mechanical part of that edit, and you can finish the job by hand.
Use the right rewrite style
The humanizer offers six modes, each tuned for a different goal:
- Natural — a balanced rewrite that adds contractions and varies rhythm.
- Professional — clear and direct without slangy contractions; good for reports and docs.
- Casual — relaxed and conversational, with more contractions and shorter sentences.
- SEO-friendly — scannable and plain, keeping your keywords intact for web content.
- Shorter — trims filler words and condenses, ideal for tightening bloated drafts.
- More detailed — unpacks dense, overloaded sentences into clearer separate statements.
Under the hood, the humanizer simplifies inflated buzzwords, removes stacked transition openers, breaks up sentences that run too long, adds natural contractions where the tone allows, and trims empty filler like very, really, and the fact that. It tracks every edit it makes and lists them under “What changed”, so nothing happens behind your back. Crucially, it never invents facts and never deliberately introduces errors — the meaning of your text stays the same.
Finish by hand
No automatic rewrite replaces a human read-through. After humanizing, read the result aloud. Where a sentence still sounds stiff, rewrite it in your own voice. Add a specific example or a personal take. Verify every fact — AI drafts can state false things confidently, and rewriting doesn't fix accuracy. Those final touches are what genuinely separate human writing from machine output.
Accuracy and limitations
We want to be direct about what this tool can and cannot do. AI detection is fundamentally an estimate, not a verdict. The same stylistic signals that flag AI text can appear in formal human writing — technical documentation, academic papers, and legal prose are often uniform and buzzword-heavy by nature. Conversely, a model prompted to write casually can score as very human. For this reason, you should never use this tool — or any AI detector — to accuse someone of using AI, to make academic or hiring decisions, or as proof of authorship. It is a writing-feedback aid. The honest answer to “is this text AI-generated?” is always a probability, and a modest one at that.