Eric Hinzpeter
TOOL· ai · writing · lint· Live

AI Phrase Checker

Paste text, see which AI-writing patterns it contains. Vocabulary tells, negative parallelisms, em-dash overuse, chatbot leftovers. English and German, all in your browser.

Tool · AI Phrase CheckerPattern lint
Detected: EN

Verdict

Heavy AI patterns

Patterns found

7

Per 100 words

19.4

Highlights

In today's rapidly evolving digital landscape, AI tools serve as a testament to seamless innovation. It's important to note that experts say these groundbreaking systems are not just about automation, but about unlocking creativity at scale.

Findings

  • AI vocabulary×4

    High-frequency LLM words. Use plain words instead.

    digital landscape · testament to · seamless · groundbreaking

  • Throat-clearing×1

    "It's important to note" and friends. Just say the thing.

    It's important to note

  • Negative parallelism×1

    "Not just X, it's Y" constructions. Say Y.

    not just about automation, but

  • Vague attribution×1

    Name the source or cut the claim.

    experts say

How it works

This is a pattern lint, not a detector. It scans your text against word lists and phrase patterns that show up constantly in LLM output: "delve", "tapestry", "testament to", "it's important to note", "not just X, but Y", "experts say", em-dashes every second sentence. The German set covers the local equivalents ("entscheidend", "nicht nur... sondern", "zusammenfassend lässt sich sagen").

Matches get highlighted in the text and grouped into a findings list with a count per pattern. The verdict is a simple density score: patterns per 100 words. The language is detected from the text itself, so you can paste German and English drafts back to back without touching a switch.

The lists come from Wikipedia's "Signs of AI-generated writing" project, which I use in my own editing workflow. They get updated as the telltale vocabulary shifts, because it does shift.

What it can't do

Tell you whether a text was written by AI. Nobody can do that reliably, and tools that claim otherwise are selling confidence they don't have. A human who writes corporate marketing copy will light this thing up, and a carefully edited AI text will pass it clean.

What the score does tell you: whether a text reads like AI output. That's the thing that costs you credibility with readers, regardless of who actually wrote it.

When to use it

  • Checking a draft before publishing, especially one an LLM helped with.
  • Editing AI output for a client and wanting a quick list of the obvious tells.
  • Settling the "this sounds like ChatGPT" argument with something more specific than a feeling.

Everything runs locally. Your text never leaves the browser, which matters when the draft is client work.