Your writing has a tell. Find it, then fix it.
Blader Humanizer scans text for the patterns language models can’t stop reaching for — em-dashes, the rule of three, “delve” — scores how AI it reads, and rewrites it to sound like a person. Free and open.
Detected patterns
0 patternsThree steps. No account. No upload.
Everything runs locally in the page. Your draft never leaves the browser tab.
Paste
Drop in anything an AI might have written — a cold email, a blog intro, a PR. The sample loads pre-filled so you can try it instantly.
Detect
Eleven heuristics flag the tells — em-dash density, triads, hedged meta-commentary, hype vocabulary — and roll them into one 0–100 Pattern Score.
Rewrite
Hit Humanize to strip the dashes, swap the buzzwords, break the triads — then watch the score drop. Undo anytime; you stay in control.
The fingerprints models leave behind
A living library of the constructions that quietly scream “generated.” Here are six of the loudest.
Em-dash overuse
Models pepper sentences with — long dashes — where a person would use a comma or just stop. Density is the giveaway.
It’s fast, really fast, and simple.
The rule of three
A compulsive reach for triads: “simple, powerful, and elegant.” One is rhetoric; a paragraph of them is a tell.
Fast and reliable.
“Delve” & friends
Delve, tapestry, realm, leverage, robust, navigate, underscore. A vocabulary far more common in models than in people.
Let’s look at this.
Hedged meta-commentary
“It’s worth noting,” “it’s important to note” — throat-clearing that announces a point instead of making it.
Speed matters.
“It’s not just X, it’s Y”
Negation-then-elevation. The cadence sounds profound and means almost nothing — a signature flourish.
It’s a useful tool.
Grand openers
“In today’s fast-paced world…”, “In the realm of…”. Scene-setting that delays the actual sentence.
Speed wins.
Questions, answered
Put the humanizer in your workflow
Use it here, or generate the Claude skill and let it clean every draft you write.