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AI Writing Pattern Checker
Find the words and habits that make text read as AI-generated, so you can edit them out.
This is not an AI detector, and nothing honest can be. It counts the habits that generated prose leans on so you can edit them out — every one of them is something a person can write too. Nothing is uploaded.
Quick Tool Overview
The AI Writing Pattern Checker highlights the vocabulary, connectives, hedges, openers and structural habits common in unedited AI-generated text, measures how much sentence length varies, and shows where to edit — without pretending to be an AI detector.
- What it does
- Finds AI-style phrases and writing habits
- You give it
- A draft, article, essay or email
- You get back
- Highlighted patterns, rates and editing advice
- Best for
- Editing AI-assisted drafts to sound natural
About the AI Writing Pattern Checker
Readers have learned what unedited chat-model prose sounds like: it delves, it navigates landscapes, it is not just a tool but a game-changer, and it ends with in conclusion. Once someone notices those habits, they stop trusting the rest of the text — whether or not a person wrote it.
Paste any draft and the checker counts the patterns in four vocabulary groups — overused words, essay connectives such as moreover and furthermore, hedging and throat-clearing, and assistant openers left in from a chat — and six structural habits: em dashes, rule-of-three lists, not only but also, the it is not just X, it is Y antithesis, bolded lead-ins on every bullet, and emoji used as section markers. It also measures how much your sentence lengths vary, because a steady, uniform rhythm is one of the clearest signs of a draft nobody reworked.
This is deliberately not an AI detector. Detectors that output a percentage are unreliable and regularly flag human writing. Instead you get the exact words and places worth a second look, highlighted in your text, with a rate per thousand words and practical ways to fix them.
Key features of the AI Writing Pattern Checker
Four vocabulary groups
Overused words, essay connectives, hedging and chat openers, each with counts.
Six structural habits
Em dashes, rule-of-three lists, not only but also, antithesis, bold lead-ins and emoji headers.
Sentence rhythm measure
Flags a flat, uniform sentence length, one of the clearest signs of unedited text.
Highlighted in place
Every flagged term is marked in your own text so edits are quick.
Not a detector
No unreliable percentage — just specific, checkable places worth a second look.
How to use the AI Writing Pattern Checker
-
1
Paste your text
An article, an essay, an email or a post. Longer texts give steadier rates.
-
2
Read the groups
Each group lists the terms found and how often, with why the pattern stands out.
-
3
Check the marked-up text
Flagged vocabulary is highlighted in amber and em dashes in red, in place.
-
4
Edit the flagged spots
Cut openers and conclusions, use plain words, and vary your sentence lengths.
Frequently asked questions
No, and it does not claim to be. It counts writing habits common in generated text so you can edit them. Every pattern here is also something people write, so a high count is a prompt to revise, not proof of anything.
Common examples are delve, tapestry, testament, realm, landscape, crucial, robust, seamless, leverage and foster, along with moreover, furthermore and phrases such as it is important to note.
Chat models use em dashes far more often than most people typing quickly. One or two are normal; several per paragraph is a recognisable habit.
The spread of sentence lengths. Human editing tends to mix short and long sentences, while unedited generated text often keeps a steady middle length.
No. The check runs in your browser and nothing you paste is stored or sent.
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