By using our detector, you agree to our Terms.
Astra AI Detector shows probability, not proof — no AI checker is 100% accurate.
For publishers & writers
Verify content is human-written before you publish or pay — privately.
By using our detector, you agree to our Terms.
Astra AI Detector shows probability, not proof — no AI checker is 100% accurate.
An AI checker for editorial and marketing teams, freelancer verification and SEO content review.
If you commission, edit or publish writing, you need to know it's genuinely human before it goes live or gets paid for. Astra is an AI content detector built for that job — an AI checker for editorial and marketing teams, freelancer verification, and SEO content review. Paste or upload a draft above to get an AI score plus sentence-level highlights showing which passages read as machine-written.
It's free, runs in the browser, and doesn't store the content you check — so client and unpublished work stays private.
Spot-check a suspect passage or review the whole piece — then decide with context.
Run a quick check on a suspect section, or paste the whole piece before it's published or invoiced.
Use the sentence-level signals to find the paragraphs worth questioning, fact-checking or rewriting — not just a single overall number.
Weigh the score against the brief, the writer's track record and their drafts, then edit or ask questions.
Google doesn't ban AI content — it targets low-value, scaled pages made to manipulate rankings.
Google doesn't ban AI content outright.
Its guidance rewards helpful, people-first content however it's produced, and targets scaled content abuse — low-value pages mass-produced mainly to manipulate rankings. Astra helps you stay on the right side of that line by keeping published work genuinely useful and human-verified, and by catching thin, generic AI passages — the repetitive transitions and flat, even phrasing models default to — before they ship.
For the official position, see Google's helpful content guidance.
An AI content check protects both quality and budget when you pay for writing.
When you pay for writing, an AI content check protects both quality and budget.
Run deliverables through Astra, review the highlighted sentences, and compare the result against the brief and any drafts the writer can share. Many teams now use AI legitimately in their process, so treat a flag as a prompt to review and discuss — not an automatic rejection.
And remember detection is probabilistic: use it to guide judgement, not to make an accusation you can't support.
Detection that reads meaning and structure, not just wording.
Content is often generated, then paraphrased or run through a “humanizer” before submission — which is precisely what basic checkers miss.
Detection that reads meaning and structure, not just wording, is what catches it.
Astra reports an AI-refined signal for exactly this pattern — see the AI paraphrase & rewrite detector.
Drafts, embargoed articles and client copy are never uploaded or stored.
Everything is analyzed in your browser; drafts, embargoed articles and client copy are never uploaded or stored.
That matters because uploading a client's unpublished copy to a server-side tool can breach an NDA.
See the private AI detector.
A clear policy prevents most disputes before a single draft is checked.
Detection is imperfect, so a written policy — not a tool — is your first line of defense. Publishers and editorial bodies that handle AI use well tend to converge on a few principles you can adopt:
Say plainly where AI is fine (research, outlining, grammar and spelling, headline brainstorming) and where it isn't (drafting whole sections, inventing quotes, generating sources).
Ask writers to note when and how they used AI. Because no detector is conclusive, disclosure — not detection — is the standard most reputable publishers now lead with.
Decide who runs the AI content check, at what stage, and that a flag opens a conversation rather than triggering an automatic rejection.
A first flagged piece usually means revise and disclose, not a ban — reserve firmer action for undisclosed, repeated, or fabricated material.
Fold the policy into your contributor or freelance contract so expectations are set before work begins.
Revisit the policy every few months. Model quality and the tools your writers reach for change quickly, and a policy written a year ago may already describe a world that no longer exists.
The tool gives you a score; these are the surface signs that make a passage worth a second look in the first place.
None of these is proof on its own — strong human writing can share a few, and careful AI use avoids them — but several together are worth a closer read:
Paragraphs of near-identical length, and sentences that rarely vary in shape or length.
Openers like "In today's fast-paced world," and conclusions that restate the piece without adding anything.
Specific-sounding facts, statistics or quotes with nothing behind them.
References that look plausible but point to the wrong paper — or to a source that doesn't exist at all.
An absence of named examples, lived experience, or the small specifics only someone close to the topic would think to include.
"Moreover," "Furthermore," and a tidy three-item list on almost every point.
Use these alongside the detector, not instead of it. The tool surfaces the passages; your editorial eye decides what they mean — and whether the fix is a rewrite, a fact-check, or a note back to the writer.
A quick screen protects both your standards and your rankings from pitches produced at volume.
Open submission inboxes attract guest posts and outreach pitches produced at volume, often to place a backlink rather than to inform your readers. Publishing them thins your site and edges toward what Google calls scaled content abuse — the mass-produced, low-value pages its guidance targets. A quick screen protects both your standards and your rankings:
Run the article through the detector and read the highlighted passages before you reply.
Note where the outbound links point; a thin piece built around a single commercial link is a signal in itself.
Ask whether the piece contains anything — data, examples, genuine expertise — a reader couldn't get from a generic AI answer.
Look for a real byline, a portfolio, and a track record behind the submission.
Because Astra runs entirely in your browser, you can screen a stack of unsolicited drafts without uploading anyone's copy to a third-party server — useful when you're triaging pitches you never asked for and have no reason to store.
You can't hand-review everything, so spend scrutiny where a mistake would cost the most.
A simple two-tier split works for most teams:
news and time-sensitive pieces, "your money or your life" topics (health, finance, legal), anything carrying your masthead's authority, and paid freelance deliverables. Fabricated facts and invented citations do the most damage here.
low-stakes evergreen, internal drafts, and routine updates where an error is cheap to fix and easy to catch in normal editing.
Within the high-scrutiny tier, read the whole piece and the sentence-level highlights. In the lighter tier, a quick scan of the sections most likely to be padded is usually enough. The point isn't to catch every AI-assisted sentence — plenty of good work uses AI legitimately — but to make sure the content most likely to mislead a reader, or to fall short of Google's helpful-content expectations, gets a real human read before it ships.
Disclosure, permissions, Google, and how to verify freelance and agency work.
Most reputable publishers now ask for it: disclose substantive AI use, such as AI-drafted sections, while routine grammar or spelling help usually needs no note. Because detection is never conclusive, disclosure is the standard editorial bodies lead with, not detection alone.
You don't need permission to check work you've been given, but it's fairer, and more productive, to tell contributors upfront that submissions may be screened. Treat a flag as a question to discuss, not an accusation, since a score is never proof of authorship.
Light editing from spelling and grammar tools rarely moves the result much. Scores climb when large blocks are drafted or heavily rewritten by a model; the smoothing that ordinary proofreading does is not the same as machine-written prose.
You can paste up to 5,000 words per check and split anything longer into sections. Checking in parts is often more useful anyway, since it shows which passages of a long piece read as AI rather than one blended score for the whole thing.
Not for using AI as such — it targets low-value, scaled content made to manipulate rankings, and rewards helpful, people-first content. Human review and editing still matter.
Run the piece through Astra, review the highlighted sentences, and weigh the result against the brief and the writer's drafts — treating a flag as a prompt to discuss, not proof.
Often — detection that reads meaning and structure, not just wording, catches reworded AI. See the paraphrase detector.
Yes — paste or upload articles, landing-page copy, product descriptions or emails; the analysis works across formats.
Yes — free, no sign-up, and content is analyzed in your browser, never uploaded, which helps you avoid NDA and confidentiality issues.
No detector is 100%. Use it as one input alongside editorial judgement — see accuracy & limitations.