Korean AI detector
What the Korean AI detector does
Paste Korean text and this Korean AI detector reads it for the patterns that show up in machine-written Korean, then tells you what it saw and why. You get a description of the signals, not a percentage and not a verdict on who wrote it.
The check runs on our server, so the text you paste is sent to us to be analysed. You get 5 free checks per rolling 24 hours and each check takes up to 12,000 characters. No account, no signup, no payment.
The problem, in plain terms
How AI-written Korean text actually differs
Most tools that advertise Korean detection are English tools with the word Korean printed on them. They talk about perplexity and writing patterns and never mention a single feature of the language. Korean has specific things worth looking at, and here is what they are.
None of these is proof on its own. A careful human writer produces some of them, and a lazy model avoids others. They are worth reading as a group, which is what the check does.
- Speech level drift
- Korean marks politeness in the verb ending. A native writer picks one register, the formal 합니다 style or the softer 해요 style, and holds it. Assembled text drifts between them inside one section.
- Spacing that is too correct
- Korean 띄어쓰기 rules are genuinely hard, and fluent native writers break them constantly in ordinary prose. Textbook-perfect spacing across a long informal passage is unusual.
- Standard-only loanword spelling
- Real writing is full of 메세지 and 초콜렛. Models trained on edited text lean toward the standard forms, 메시지 and 초콜릿, every single time.
- Particle uniformity
- The 은/는 and 이/가 particles give a writer choices about emphasis. When every sentence in a paragraph takes the same shape, that choice is not being made.
- Ending repetition
- Long runs of ~것입니다 and ~수 있습니다 closing sentence after sentence, with no fragments and no short sentences between them.
- Sino-Korean density
- A heavy load of ~적 and ~화 abstractions where a plainer native verb would carry the meaning.
How to
How to check Korean text for AI writing in three steps
The whole check happens in the box above.
- Step 1
- Paste the Korean text in. Up to 12,000 characters per check, and at least one.
- Step 2
- Run the check. The text goes to our server and comes back with the signals it found.
- Step 3
- Read the signals against what you know about the text. The tool describes, you decide.
The limit
What 12,000 characters means in Korean
The cap is 12,000 characters, the same number used across every server-backed tool here. In Korean that number goes considerably further than it would in English, because a Korean syllable block is one character and it usually carries what two or three English letters would.
In practice a 12,000 character limit covers most 리포트 and essay-length pieces whole. For a longer document, check it in sections, and remember each section spends one of your five daily runs.
Straight answer
Can the Korean AI detector tell which AI wrote it?
No, and the tool is built so it cannot pretend otherwise. The instruction our server sends with every check tells the engine never to claim certainty about authorship or about which AI model wrote a text, and to describe observable signals and limitations instead.
Pages that promise to name ChatGPT or Claude or Gemini as the author are promising something that cannot be read off the finished text. What you can get is a description of what the writing looks like. That is what this gives you.
Why it misfires
Why Korean writers get flagged by mistake
Detectors reward irregularity, and formal Korean writing is trained out of it. A 보고서 written to a company template, a 자기소개서 rewritten twenty times, an academic abstract in 합쇼체: all three are supposed to be even, and evenness is the thing detectors read as machine-like.
This is not only a Korean problem, and it is documented. The paper "GPT detectors are biased against non-native English writers" by Liang, Yuksekgonul, Mao, Wu and Zou found that the detectors they tested consistently misclassified non-native English writing as AI-generated while classifying native writing correctly, and concluded that such detectors may penalise writers with constrained linguistic expression. That finding is about English written by non-native speakers, which is exactly the situation a Korean student submitting an English paper is in.
What to do
What to do if your Korean writing is wrongly flagged
A flag is not a finding of fact and nobody should treat it as one. What helps is evidence of the writing happening, which a detector cannot produce and you can.
- Keep the drafts
- Version history in 한글, Word or Google Docs shows the document growing. That is worth more than any score.
- Show the mess
- Notes, abandoned paragraphs and a bad first attempt are the shape of real writing.
- Ask what the signal was
- If an institution flags you, ask which tool and which signal. A number with no description is not an argument.
- Do not rewrite to game it
- Deliberately roughening your Korean to look more human damages the writing and proves nothing either way.
Who it's for
Who uses the Korean AI detector, and the free limit
Teachers and 조교 reading submitted Korean work, editors checking copy from a freelancer, translators reviewing a Korean draft they did not write, and writers checking their own text before they hand it over. The last group is the biggest one.
Everyone gets 5 free checks per rolling 24 hours, counted by our server, with no account. When you run out the counter refills as the oldest run falls outside the window, so it is a rolling limit rather than a midnight reset.