Is the score a guarantee of AI vs human authorship?

No. Scores are heuristic. Edited AI text, domain-specific human writing, or mixed workflows can confuse any classifier.

What should I do if the score is high?

Review sourcing, authorship, and whether the piece meets your editorial bar. Consider adding human examples, quotes, and primary research.

Can I use this output to penalize a writer?

Use it as an internal signal only. Always pair with policy, contract terms, and human evidence — scores alone are too brittle for punitive decisions.

Content & Writing

Live

AI Content Detector

Estimate the probability that a passage was written by an LLM.

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Content

Heuristic detection — looks for AI-typical patterns. Not a substitute for human judgment.

Fetch a page

AI score

Likely AI

0.33

Sentence-length CV

lower = more uniform (AI signal)

82%

Lexical diversity

lower = more repetitive

1.50

Phrase density

AI-typical phrases per sentence

6 sent / 82 words

Total

AI-typical phrases (9)

Essentially ×1

navigating the ×1

In conclusion ×1

it's important to note ×1

world of ×1

intricate dance ×1

cutting-edge ×1

Furthermore ×1

Moreover ×1

Start here · What is an AI content detector (in plain English)?

Large language models write text with statistical patterns. Detectors look for those patterns and output a rough score or label — not a court verdict.

False positives happen: stiff human writing, templates, and technical docs can look machine-like. False negatives happen when AI text is heavily edited.

Use this tool as triage: flag work that needs a human read — especially guest posts, YMYL topics, and client deliverables.

When to use this tool

Editorial queue hygiene
You received ten freelance drafts today. Run a quick pass to see which ones deserve a deeper originality or fact check.
Syndication and partnerships
Partners send republished content. A high score is a prompt to verify authorship and whether terms allow AI-generated copy.
Learning what machine-like text looks like
Paste your own first draft next to a heavily edited version — compare how scores move so you calibrate your gut.

Examples

Walk through these with the form above — they are practice scenarios, not live data.

Guest post triage

Try this

Paste the first 300–500 words of an article that feels oddly smooth — uniform sentence length, no concrete anecdotes.

What to look for

If the score is high, open a second tab: check sources, author history, and whether facts trace to primary references before you publish.

Short tutorial

Follow in order the first time you use the tool; later you can skip to the step you need.

Step 1 — Paste a representative slice
Use at least a few paragraphs. Ultra-short clips are noisy. Avoid only the intro if the body is where the substance lives.
Step 2 — Read the score as a flag, not proof
Low score does not guarantee human authorship. High score does not guarantee AI — it means run your normal quality bar plus sourcing.
Step 3 — Pair with human review
Claim check, quotes, and personal experience still need eyes. Use Claim & Fact Extractor or your editorial checklist next.

More detail

Paste a passage to get a rough probability-style signal that it may have been produced by a large language model.

This is not a legal or academic forensic test — it is an operator aid for triage and internal QA.

FAQ

Is the score a guarantee of AI vs human authorship?: No. Scores are heuristic. Edited AI text, domain-specific human writing, or mixed workflows can confuse any classifier.
What should I do if the score is high?: Review sourcing, authorship, and whether the piece meets your editorial bar. Consider adding human examples, quotes, and primary research.
Can I use this output to penalize a writer?: Use it as an internal signal only. Always pair with policy, contract terms, and human evidence — scores alone are too brittle for punitive decisions.