# Claude AI Detector — Detect Claude Writing

Can Claude writing be detected? Scan text free for Claude's writing patterns — a 0-100 score, marked lines, and plain-English evidence.

- Source: https://scanforai.com/detect-claude
- ScanForAI — AI-writing detection. A score is a signal, not a verdict.

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# Can Claude writing be detected?

Claude writes the most human-sounding writing of the major models — which is exactly why we keep dated corpora of its output and tune against each generation. Harder does not mean impossible. Here's what still gives it away.

## What Claude writing tends to sound like.

No single word proves anything — it's the pattern. These are the habits our scanner weighs when Claude-style text comes through:

### Measured, flowing writing

Long graceful sentences with careful hedges — like a thoughtful editor who never tires.

### Tidy takeaways

Each section lands on a neat little lesson. Real writing sometimes just stops.

### Structured empathy

Acknowledge, reframe, resolve — the same emotional arc applied to any topic.

### Polish that never frays

Even "casual" Claude keeps perfect grammar and balanced clauses. Actual casual writing doesn't.

**A person.** Long thought, short one. Punch.

**A model.** Same-length sentences, marching in step.

Claude varies more than most models — the hum is quieter, which is why the scanner reads it together with phrasing and predictability instead of alone.

## The scanner shows you, sentence by sentence.

Paste a draft and the AI-leaning lines get marked right in your text. Here's the kind of thing that lights up:

## If Claude sounds so human, how would anyone name it?

They can't, reliably — and that's the point. The more natural the model, the less sense a brand-name verdict makes, because its style overlaps real writing more. So we don't play that game. ScanForAI measures **degree and location**: how strongly a text reads machine-written and which passages carry it. On a part-Claude, part-you document, that's the difference between a useless average and a marked-up draft you can actually fix.

#### Degree and location

Paste a part-Claude, part-you document and the heat-map shows where the machine voice sits — the useful answer when no brand label is honest.

Nothing is stored on anonymous scans.

## What people actually ask.

In our testing across dated corpora, Claude's default voice reads more natural than most models' — fewer stock phrases, better rhythm. That lowers heuristic scores, which is why our deep analysis (a trained language model) matters most on Claude-style text. Unedited Claude still gets caught; lightly-edited Claude is genuinely hard, for everyone.

No. Anthropic ships no public text watermark, and there's no hidden marker in Claude output. Detection is pattern-reading — statistical, probabilistic, honest tools say so.

Turnitin doesn't disclose per-model performance, and independent testing on newer models is thin. Treat any single flag — theirs or ours — as a starting point, not proof. Our per-line breakdown gives both sides something concrete to discuss.

Anthropic tuned it hard for natural register: varied sentence length, fewer formulaic transitions, a warmer voice. The habits that remain are subtler — relentless polish, tidy takeaways, hedged balance — and those are exactly what our scanner weighs.

This one — paste up to 20,000 characters anonymously, free, nothing stored. It's tuned against dated corpora of each Claude generation, and a free account adds the full pattern breakdown and deep analysis.