How Much of Your Content Is AI-Written?
Paste your article and get an AI score from 0 to 100 — with every AI tell highlighted so you can fix it. Your text never leaves your browser.
no account · no word cap · no watermarks · 2 checks run and counting
Verdict
Signal breakdown
Your text, with evidence highlighted
legend: stylistic tell strong AI phrase — rewrite highlighted parts, then re-check for free.
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How This AI Detector Works (Without a Paid AI Model)
Most detectors send your text to a server, run it through a black-box model, and hand back a number you have to take on faith. This tool takes the opposite approach. It checks your writing against the stylistic patterns that researchers and Wikipedia's editor community have documented across thousands of confirmed AI-generated texts, then shows you exactly which ones it found and where.
The signals fall into three groups:
| Signal group | What it measures |
|---|---|
| vocabulary | Density of words chatbots overuse — delve, tapestry, pivotal, seamless, testament, landscape, foster, crucial, leverage, and dozens more — plus leftover chat phrases like "I hope this helps". |
| structure | Em-dash frequency, "not just X, but Y" constructions, rule-of-three lists ("fast, simple, and reliable"), formulaic transitions (Moreover, Furthermore, In conclusion), and bold-term bullet patterns. |
| rhythm | Burstiness — how much your sentence lengths vary. Humans mix short punchy sentences with long winding ones. Chatbots keep an eerily even rhythm. Low variation pushes the score up. |
Each signal carries a weight based on how strongly it correlates with AI output, and the weighted results combine into your 0–100 score. A worked example: a 500-word blog post with eight em-dashes, four "delve/seamless/pivotal"-type words, two "not just X, but Y" reframes, and sentences that all sit between 16 and 22 words will land around 70 — likely AI — and every one of those triggers will be marked in yellow so you can see the case against it.
Because everything runs in plain JavaScript on your own device, there is no server cost — which is why this stays free forever, with no caps. It also means the checker keeps working even if your connection drops after the page loads.
Detects Text From ChatGPT, Gemini, Claude, and Every Major AI Writer
You don't need a different detector for each chatbot. The tells this tool measures — em-dash overuse, AI vocabulary, "not X but Y" reframes, flat sentence rhythm — come from how large language models are trained, and every major model picked up the same habits. Output from any of these scores accurately here:
Two things worth knowing. First, no detector can tell you which model wrote a text — the styles overlap too much — so this tool reports how AI-like the writing is, not the brand behind it. Second, newer models are slowly getting better at hiding some tells, which is why the score leans on rhythm and structure, not vocabulary alone. Humanized or paraphrased AI text lands in the mixed band more often than the clean bands, and that's the honest answer, not a bug.
Free AI Detector vs Paid Detectors: What You Actually Give Up
Short answer: less than the pricing pages suggest. Paid detectors run trained classifiers, which helps on some edge cases, but the day-to-day experience for a writer checking drafts looks like this:
| AIScorely | Typical paid detector | |
|---|---|---|
| Price | Free forever | $10–$30 / month |
| Word limit | None | 300–1,500 per scan on free tiers |
| Sign-up required | Never | Yes, usually with credit card for full results |
| Where analysis runs | Your device | Their servers |
| Your text stored | Never leaves your browser | Uploaded; retention policies vary |
| Shows evidence | Every trigger highlighted in your text | Usually a bare percentage |
| Accuracy claims | Honest: no detector is 100% | Often "99% accurate" marketing |
The transparency point matters more than it looks. A bare percentage tells you nothing about what to fix. A highlighted sentence does. If your goal is improving your own writing rather than policing someone else's, the evidence view is the feature you'll actually use — and it's the one most paid tools don't offer.
Reading Your AI Score
- 0–40 · Likely human. Few or no AI tells. Natural rhythm, varied vocabulary.
- 40–65 · Mixed signals. Common for AI drafts that got a human edit, or for humans who write in a very polished corporate register. Check the highlights before judging.
- 65–100 · Likely AI. Multiple strong tells firing together. Text at this level usually reads as unedited chatbot output.
An honest note on accuracy: no AI detector on the market — free or paid — is 100% reliable, and anyone claiming otherwise is selling you something. Short texts, heavily edited AI drafts, and non-native English writing can all confuse detectors, including this one. Treat the score as a screening signal and read the highlighted evidence yourself. Never punish a student or writer on a detector score alone.
What an AI Detector Can and Can't Do
It can flag unedited chatbot output with high confidence, because unedited output is saturated with tells. It can show a writer exactly which habits make their text read as machine-written, which makes it a genuinely useful editing instrument. And it can screen large volumes of submitted content fast, surfacing the pieces worth a human look.
It cannot prove authorship. It cannot tell ChatGPT from Gemini. It cannot reliably judge a two-sentence paragraph, a poem, or code. And it will sometimes flag humans — especially non-native English speakers and people trained to write in formal corporate style, since that register overlaps heavily with what chatbots learned from. That's why the mixed band exists and why we show evidence instead of just a verdict.
One more distinction people mix up: an AI detector is not a plagiarism checker. A plagiarism checker compares your text against published sources to find copying. An AI detector estimates whether text was machine-written — even if it's completely original. A ChatGPT essay usually passes plagiarism checks (it's technically "original" text) while failing AI detection, and a copied human paragraph does the reverse. If you need both answers, you need both tools.
Who Uses an AI Content Checker?
Bloggers and SEO teams check drafts before publishing, since heavily AI-flavored content risks underperforming in search — Google's guidance targets low-value content regardless of how it was made, and unedited AI text tends to be exactly that. Editors and agencies screen freelancer submissions before paying for them. Students check their own essays before handing them in, because teachers run the same kinds of checks and it's better to find a false positive yourself than to argue about one later. Publishers and newsletter writers spot-check guest posts.
Writers who use AI as a drafting tool get the most value of all. For them the score isn't a judgment, it's a progress bar: draft with AI, run the check, rewrite the highlighted sentences in your own voice, run it again. The highlighted evidence works as an editing checklist, and our guide on how to humanize AI content walks through the fixes pattern by pattern. If you'd rather understand the theory first, start with the 12 signs of AI writing.
AIScorely in Numbers
Show Readers Your Content Is Human-Checked
Readers are getting suspicious of everything they read, and "is this AI?" is now a real objection. If your work passes the check, say so. Paste this badge at the bottom of your posts — it links back here so your readers can verify with the same free tool:
<a href="https://aiscorely.com/?ref=badge" title="Checked with AIScorely — free AI detector"> <img src="https://aiscorely.com/badge.svg" alt="Human-checked with AIScorely" width="216" height="44"> </a>
It works anywhere HTML works: WordPress, Blogger, Ghost, Substack (via the HTML block), Medium bios, and portfolio sites. No tracking, no scripts — it's a plain image and a link.
Go Deeper: Our AI Detection Guides
Everything on this site is free to read, built from the same research the detector runs on. Start with the 12 signs of AI writing to understand what the highlights mean, then how to humanize AI content to fix them. Students should read how Turnitin's AI detection really works before their next submission. Comparing tools? We keep an honest roundup of the best free AI checkers, plus straight-talking alternative guides for Winston AI and Grammarly's detector. And for the question we hear most after text: how to check if an image is AI-generated.
Frequently Asked Questions
Is AIScorely really free with no limits?
Yes. No word limit, no daily cap, no account, no premium plan. The analysis runs in your browser, so it costs nothing to serve and nothing to use.
Is my text uploaded or stored anywhere?
No. The detector is 100% client-side JavaScript. Your text is analyzed on your own device and never sent to any server, which also makes it safe for confidential drafts.
How can it detect AI without using an AI model?
It measures documented stylistic signals of AI writing — the patterns catalogued by Wikipedia editors and researchers across thousands of AI texts — and combines them into a weighted score. Unlike black-box detectors, it shows you every trigger it found.
How accurate is it?
It's a screening tool, not a courtroom. It's strong on unedited chatbot output and excellent as an editing checklist, weaker on short or heavily edited text. No detector, paid or free, is 100% accurate.
What score means my content is AI-generated?
0–40 reads as likely human, 40–65 as mixed or edited, 65–100 as likely AI. Samples of 300+ words give the most reliable readings.
Does it detect ChatGPT, Claude, Gemini, and Copilot?
Yes. The tells it checks are shared across major chatbots because they come from similar training methods — em-dash overuse, AI vocabulary, negative parallelisms, and flat sentence rhythm show up in all of them.
How many words do I need for an accurate check?
Anything over 20 words runs, but 120 is the practical minimum for a meaningful score and 300+ gives the most reliable reading. Short texts simply don't contain enough signal for any detector to judge.
Can it detect humanized or paraphrased AI text?
Partially, and we're honest about it. Paraphrasers strip the vocabulary tells but usually keep AI's flat sentence rhythm, which the burstiness signal still catches. Well-edited AI text typically lands in the 40–65 mixed band rather than scoring clean.
Is this a plagiarism checker?
No — different job entirely. Plagiarism checkers find copying from published sources; AI detectors estimate machine authorship of original text. A text can pass one and fail the other.
Can I lower my AI score?
That's the tool's best use. Rewrite the highlighted sentences in your own voice, vary your sentence lengths, cut the flagged vocabulary, and re-check as many times as you like. See the full list of AI writing signs for what each highlight means.
Disclaimer: AIScorely provides a stylistic likelihood estimate, not proof of authorship. Do not use scores from this or any detector as sole evidence in academic, employment, or legal decisions.