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Astra AI Detector shows probability, not proof — no AI checker is 100% accurate.
Humanized AI
Catch AI text that's been paraphrased, rewritten or “humanized” — with the AI-refined signal.
By using our detector, you agree to our Terms.
Astra AI Detector shows probability, not proof — no AI checker is 100% accurate.
A lot of AI text is reworded before it's shared — Astra reports it as a third class, AI-refined.
A lot of AI text is generated, then reworded — paraphrased, rewritten, or run through a “humanizer” — before it's shared. A basic AI checker can miss this, because the words changed even though the underlying machine patterns often didn't. Astra is built to catch it: it reports a third class, AI-refined, separate from raw AI-generated and human-written, so you can tell original human writing apart from AI that's been dressed up.
Paste or upload the text above to check it for reworded AI, with sentence-level evidence.
Surface-level rewording swaps vocabulary but tends to preserve deeper structure and rhythm. Astra reads for signals that survive paraphrasing:
Whether the meaning and structure match patterns typical of AI, even when individual words are swapped out — the layer basic, wording-only checkers miss.
Word- and phrase-level fingerprints that paraphrasers and humanizers frequently leave behind.
Uniform perplexity and burstiness that persist through light rewriting — shown per sentence so you can see where the pattern holds.
A third category between fully machine-generated and fully human.
AI-refined sits between fully machine-generated and fully human.
It covers text a model produced that a person (or another tool) then lightly edited or paraphrased to sound more natural. Reporting it as its own category is more honest than forcing every result into a simple “AI or human” split — and more useful, because reworded AI is exactly the kind that slips past basic checkers. It's the same distinction leading tools draw when they separate “AI-generated” from “AI-generated & AI-refined.”
Reword tools aim to reduce a detector's signal — but the machine's structural habits often remain.
Tools that reword AI text — paraphrasers, spinners and “AI humanizers” — aim to reduce a detector's signal by raising perplexity and varying sentence length.
Light rewriting is often still catchable because the machine's structural habits remain, and independent studies of many humanizer tools show detection that reads meaning can still flag them. Heavier, more deliberate human rewriting is harder for any detector to catch.
Astra reports what it sees as a probability, and shows the sentences driving the result.
We won't pretend every rewrite is catchable — heavy rewriting can defeat any detector.
We won't pretend every rewrite is catchable.
Heavy human editing or aggressive, purpose-built humanizers can reduce or defeat any detector's signal — this is true across the whole category, and it's an ongoing arms race. Treat the AI-refined result as evidence, not proof, and read the details on the accuracy page.
Astra detects reworded AI; it does not rewrite text to evade detection.
A humanizer usually leaves marks a careful reader can catch without any tool.
Astra's AI-refined reading is the fast check, but rewording tools often leave tells you can see for yourself. Use these as a manual cross-reference:
Cheap humanizers swap words without reading the sentence, so helpful tips becomes advantageous directives, or a verb like tap turns into faucet. A word that feels dressed-up or plain wrong for its context was probably chosen by a tool.
The vocabulary suddenly climbs above the writer's usual level — long Latinate words where a plain one would do, inside a piece that is otherwise ordinary.
Names, dates, numbers and personal anecdotes get replaced with generic filler, because a paraphraser rephrases rather than adds real knowledge.
Every paragraph is a similar length and shape, with tidy transitions and no digressions. Genuine drafts are lumpier.
One paragraph reads casual, the next stiff and formal, because different spans were rewritten to different degrees.
A habit that beats any software: read the passage out loud. Awkward pacing and phrases no one would actually say jump out instantly. When two or three of these signs stack up and Astra flags the text as AI-refined, treat that as convergent evidence — then talk to the writer rather than deciding on a score alone.
The AI-refined signal is most useful when you read it, not just glance at the headline number.
Paraphrased and humanized text rewards a careful pass rather than a quick verdict. A reliable routine:
Short snippets swing wildly; reworded AI needs a few sentences before its rhythm shows.
Rewritten text often splits its score — a middling AI reading plus a visible AI-refined share is the classic signature of machine text that was later reworded.
They show where uniform rhythm survived the rewrite. A cluster of flagged sentences carries more weight than one lone hit.
If you can find the original AI draft or an earlier version, run both and compare — heavy wording changes over a nearly identical structure point to a humanizer pass.
Hold the result next to something the author wrote before AI tools existed. A sharp jump in polish or register is a stronger tell than any single percentage.
Then weigh it honestly. Astra reports a probability, never proof, and it runs entirely in your browser, so nothing you paste is uploaded or stored. Use the AI-refined result to open a conversation, not to close one — especially where someone's grade or job is at stake.
Tools that promise undetectable output win in the short term and get fragile over time.
Humanizers marketed as undetectable AI rewrite machine text until it slips past today's checkers. The claim can be true this week and shaky next — here is why a passing score is never permanent:
Swapping words leaves the underlying sentence structure and rhythm largely intact, and detection that reads meaning rather than vocabulary can still pick it up.
Signals get retrained as new models and humanizers appear, so a rewrite that reads as human today can flag the same text when it is re-scanned later.
Peer-reviewed research has shown that comparing a passage against a store of known AI outputs can re-catch heavily paraphrased text that fooled a pattern-based check — rewording changes the words, not the fact that a model wrote the first draft.
The honest other side: thorough human rewriting genuinely can defeat any detector, Astra included. At that point a person has actually reworked the ideas, which is the real goal. That is exactly why Astra never sells an undetectable-proof guarantee — it reports how AI-refined a passage looks as a probability, shows the sentences behind that read, and leaves the judgement to you in context.
Paraphrasers vs humanizers, what AI-refined means, and the honest limits.
A paraphraser (like QuillBot) rewords sentence by sentence to change vocabulary and phrasing. A humanizer goes further, deliberately varying sentence length and adding irregularity to raise the perplexity and burstiness detectors look for. Both usually leave residue Astra can flag as AI-refined.
Sometimes it lowers a score, because flawless uniformity is itself an AI tell. But injected errors tend to be inconsistent with the rest of the passage, and the structural rhythm usually survives, so it is an unreliable dodge rather than a fix.
No. Astra reports how AI-like the text looks as a probability and an AI-refined share; it does not fingerprint a specific tool such as QuillBot, an article spinner or a purpose-built humanizer.
Yes. Enough careful human rewriting removes the machine patterns any detector relies on, at which point the result is genuinely reworked writing. That is why Astra shows a probability and sentence-level evidence instead of a hard verdict.
Often — surface paraphrasing leaves statistical and structural fingerprints, and detection that reads meaning (not just wording) catches it. Astra reports these as AI-refined, though heavy human rewriting can defeat any detector.
Sometimes. Light humanization is often caught; aggressive, purpose-built humanizers can reduce the signal across all detectors — it's an arms race.
Frequently — rewording changes vocabulary but usually keeps patterns like uniform rhythm that Astra reads for. Results are a probability, not proof.
Text a model generated that a person or tool then edited or paraphrased. Astra reports it as its own category, separate from raw AI and human writing.
Lexical looks at words and phrases; semantic looks at meaning and structure. Reading meaning is what catches reworded AI that changed the words but not the substance.
Yes — free, no sign-up, analyzed entirely in your browser.
Through semantic and lexical similarity plus sentence-level signals — see how AI detection works.