AI Writing Style Analyzer
Scores your text 0–100 across 13 weighted writing-pattern signals — phrase clichés, sentence rhythm, vocabulary diversity, repetition, readability consistency and more — with a full explainable breakdown. Pro Mode adds Developer Mode, JSON export and one-click rewrites.
How to Use the AI Writing Analyzer
From a blank box to a fully explained score. No signup, nothing ever leaves your browser.
Everything above runs entirely in your browser. Your text is never uploaded to a server, so it stays completely private from start to finish.
AI Writing Style Analyzer, Free and Explainable
An AI writing style analyzer scores text on how closely it matches patterns common in AI generated writing, then shows exactly which phrases and patterns triggered the score. This one runs entirely in your browser, scores 0 to 100 across 13 weighted signals, and never uploads your text to a server.
Most AI detectors give you a single percentage and nothing else, which makes the result hard to trust and impossible to act on. This AI text analyzer takes a different approach. It is rule based rather than a trained black box model, scoring your writing across signals like phrase cliches, sentence rhythm, vocabulary diversity, repetition, and readability consistency, and every flagged phrase is highlighted directly in your text with a plain explanation of why it was flagged. Pro Mode goes further with full rule explainability, linguistic statistics, a side by side readability comparison across five formulas, repetition detection down to the n-gram level, and a developer mode that exposes the raw per-rule contributions behind the score.
1Simple vs Pro, What Each Mode Includes
| Feature | Simple Mode | Pro Mode (Free) |
|---|---|---|
| 0 to 100 writing style score with confidence rating | Included | Included |
| Category breakdown across 13 signals | Included | Included |
| Highlighted text with click to see suggestions | Included | Included |
| Upload TXT, MD, PDF or DOCX files | Included | Included |
| Full rule explainability, every triggered rule shown | Not included | Included |
| Linguistic statistics and five-formula readability comparison | Not included | Included |
| Repetition detection across words, bigrams and trigrams | Not included | Included |
| Plain-language recommendations built from your results | Not included | Included |
| Developer mode, JSON export, one-click rewrites | Not included | Included |
2Common Reasons People Check Their Writing
Students want to know how their draft reads before a professor's own checker sees it. Freelance writers want a second opinion before sending work to a client who runs everything through a detector. Editors want a fast way to spot the clichés and repetitive phrasing that make any piece of writing, human or machine, sound flatter than it should. A score alone rarely helps with any of that. What helps is seeing the actual sentence that triggered the flag, and this tool is built around that idea.
3How AI Detection Actually Works
Most detectors, including the signals this tool checks for, lean on two underlying ideas: perplexity and burstiness. Perplexity measures how predictable a piece of text is to a language model. Because language models generate text by picking the statistically likely next word, their output tends to score low on perplexity, meaning it reads as fairly predictable. Burstiness measures how much sentence length and structure vary across a passage. Human writing tends to be bursty, mixing short punchy sentences with longer, more complex ones, while AI output tends to settle into a more even, consistent rhythm.
| Signal | What It Measures |
|---|---|
| Perplexity | How predictable word choices are, word by word |
| Burstiness | How much sentence length and rhythm vary |
| Phrase cliches | Stock phrases that show up disproportionately in AI output |
| Repetition | Overused words, phrases and repeated sentence starters |
| Readability consistency | Whether difficulty stays suspiciously uniform across a passage |
4No Detector Is Proof, and That Matters
This tool is explicit about not being a certified AI detector, and that caution is grounded in real research. A widely cited 2023 study from Stanford, later published in the journal Patterns, tested seven commonly used AI detectors on TOEFL essays written by non-native English speakers under supervised exam conditions. Every single essay was written entirely by a human. The detectors still misclassified more than 61% of them as AI generated, and nearly 98% were flagged by at least one tool. The researchers traced the problem to something specific: simpler vocabulary, more formal grammar, and consistent sentence patterns learned through language instruction happen to look statistically similar to the low-perplexity, even-rhythm writing that detectors associate with AI output. Turnitin, one of the largest players in academic integrity software, has publicly cautioned that its own AI score should never be used as the sole basis for an academic integrity decision. Independent testing across the industry puts overall detector accuracy somewhere between 65% and 90% depending on the tool and the type of text, which is exactly why a single score should inform a revision, not settle an accusation.
Every score, highlight, and Pro feature, including rule explainability and JSON export, runs entirely in your browser using JavaScript. Nothing you type is ever sent to a server.
5Frequently Asked Questions
Grounded in published research, not marketing claims. The false-positive figures cited here come from Stanford HAI's coverage of the Liang et al. 2023 study on AI detector bias, with background on detection accuracy from GPTZero's own explanation of how AI detectors work.
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