Paste your text to highlight the overused words and phrases — "delve", "tapestry", "moreover", "in conclusion" — that AI detectors and readers associate with ChatGPT. See your risk score and fix the flags.
Paste your writing or load the example to see which words get flagged.
A curated list of words and transitions LLMs overuse — "delve", "tapestry", "underscore", "in today's fast-paced world".
A 0–100 score based on how densely your text uses flagged vocabulary, so you know how AI-ish it reads.
Highlights update as you type, fully in your browser — paste freely.
Every large language model is trained to play it safe. Asked to write a paragraph, it reaches for the same small set of formal connectors and flourishes again and again — "delve", "tapestry", "moreover", "underscore", "pivotal", "multifaceted" — because those words are statistically the most likely next token in polished prose. A person rarely says "delve into" or "navigate the complexities" twice in one email; a model will happily do it three times a page. That repetition is the tell, and it's what this checker hunts for.
The tool ships with a curated list of the terms that show up far more often in AI output than in natural writing, sorted into three buckets. High-risk single words ("realm", "myriad", "seamless", "harness") are the loudest giveaways. Medium-risk words ("additionally", "crucial", "comprehensive", "utilize") are weaker on their own but pile up fast. And whole phrases — "in conclusion", "it is important to note", "in today's fast-paced world", "a testament to" — are flagged as units, because the giveaway is the stock construction, not any one word inside it.
There's no model guessing here — the score is plain arithmetic, which is why it updates the instant you stop typing. As you paste, the checker scans your text for each term on the list, counts how many flagged words and phrases it finds, weights them by how strong a signal they are, and compares that total against your overall word count. The result is a density figure: not "how many flags did you trip" but "how much of your writing is built from words AI overuses." A 90-word paragraph with four flags reads far more synthetic than a 900-word essay with the same four.
Read the number as a rough band rather than a verdict. Under about 20 is clean — the flagged words you have are doing real work. Roughly 20 to 50 is worth a pass: a few swaps will make the piece sound more like you. Above 50, the vocabulary is leaning hard on AI's favourite phrases and a reader steeped in ChatGPT output will probably feel it. Because the whole calculation runs in your browser and nothing is uploaded, you can paste a confidential draft, a client deliverable, or an unpublished manuscript without it leaving your machine.
This isn't a detector you run to catch someone else — it's an editing mirror you hold up to your own draft before anyone else sees it. People tend to reach for it at the last step, after the writing is done and before it ships:
The most common mistake is treating every highlight as something to delete. "Crucial", "significant" and "ensure" are perfectly good English; they only become a liability when they crowd together. Use the highlights as a heat map: where flags cluster three and four to a sentence, rewrite. Where one sits alone in an otherwise natural paragraph, leave it. Swap for the plainer word you'd use out loud — "look at" for "delve into", "many" for "a myriad of", "use" for "leverage" — rather than reaching for a thesaurus, which usually trades one stiff word for another.
Be clear about what this tool can and can't do. Vocabulary is one signal among several. A full AI detector also weighs sentence rhythm, predictability and structure, so a clean vocabulary score doesn't guarantee a piece will read as human-written — and it isn't a way to "beat" a detector. The list is curated, not exhaustive; new clichés appear faster than any wordlist updates, so trust your ear over a green score. The point isn't to hit zero flags. It's to stop sounding like a machine that learned to write from a million other machines.
The AI Humanizer swaps robotic vocabulary for natural phrasing.
Try the Humanizer