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Arabic AI detector

What the Arabic AI detector does

This app checks Arabic text, fusha or dialect, for the patterns typical of AI-generated Arabic writing: an all-fusha default, a single digit set held throughout, unusually clean hamza placement, and more. It's built for the exact question people search, is this Arabic text AI-written, and answers it with a labelled list of signals instead of a bare score.

It runs as a server tool: your text goes to our AI server to be scored, and the flags come back explained. You get 5 free checks in any rolling 24 hours, no account needed.

The real tells

How AI-written Arabic text actually gives itself away

Arabic has its own set of tells that a checker built around English phrasing would miss entirely. None of them mean anything alone; the app reads for how many show up together.

An all-fusha default
Modern Standard Arabic even where a native speaker would naturally drop into dialect. Egyptian, Gulf, Levantine and Maghrebi dialect are where most everyday Arabic writing actually lives.
A single digit set, never mixed
Western numerals, Eastern Arabic-Indic numerals, and the Persian and Urdu extended set all appear in real Arabic writing. Text that locks onto one set for an entire document reads as generated.
Hamza seats with no slips
أ إ ؤ ئ ء sit on different seats, and native writers miss the harder ones from time to time. Flawless hamza placement across a long passage is unusual.
Tatweel missing or oddly placed
The elongation mark ـ is used for justification and style. Its complete absence, or a strange mid-word appearance, is a small extra signal.
Direction marks riding along
U+200E and U+200F often carry over from copying between right-to-left and left-to-right software, and their pattern looks different in an edited document than in a raw export.

Workflow

How to run the Arabic AI detector on your own text in three steps

Nothing to configure, no format to match.

1. Paste your Arabic text
Fusha, dialect, or a mix. A paragraph gives the check enough structure to read.
2. Run the check
The text goes to our AI server once, gets scored, and the flagged patterns come back to the page.
3. Read the flags, not just a score
Each signal ships with a plain-language reason. Use that to decide what the result means for your text.

Straight answer

Can you actually tell which AI wrote Arabic text?

Not for certain. Models trained mostly on English carry that shape into Arabic output, defaulting to fusha, Western digits and a narrow band of connectors, so what this app reads points to machine-written Arabic broadly, not to one model specifically.

Ask the same model to write in dialect, or in a specific register, and much of that default shape disappears. Treat a match as worth a closer look, not as a finished answer.

Why flags happen

Why Arabic writers get flagged by mistake

Arabic has far less training data behind it than English, and dialect has less again, so this app is built to say plainly where its own signal runs thin.

Government and formal correspondence
Official Arabic defaults to fusha for reasons that have nothing to do with AI, and sits close to the app's own default profile as a result.
Machine-translated Arabic
Arabic translated from English by a separate tool tends to come out stiff and over-formal, the same shape this checker is tuned to notice.
Careful non-native learners
Fusha is what most Arabic courses teach, so a learner following the textbook closely writes the same safe, hedge-light Arabic a model defaults to.

If it happens to you

What to do if your Arabic writing gets wrongly flagged

A flag here is a signal, not a verdict, and that matters more given how thin Arabic training data still is.

Keep every draft
Earlier versions in an Arabic word processor or notebook are the clearest evidence a piece was built, not generated whole.
Explain your register
Why you wrote fusha or a specific dialect is something a generic default can't account for.
Ask exactly what was flagged
A named pattern, a digit set or a hamza seat, is something you can discuss. A bare score isn't.

Who it's for

Who uses the Arabic AI detector, and what the free limit is

Editorial teams screening Arabic submissions, teachers weighing in on unusually polished fusha, and writers checking their own drafts before sending them out.

5 free checks in any rolling 24 hours, no account required. The window rolls forward rather than resetting on a clock, so five usually covers one submission or one flagged paragraph at a time.

FAQ

Everything answered. Arabic AI detector FAQ

How do I check Arabic text for AI writing?

Paste it into the checker and run it. You'll get a list of the patterns found, each with a reason, instead of a single pass or fail.

Is the Arabic AI detector free?

Yes. 5 checks in any rolling 24 hours, with no account and nothing to buy.

How many free checks do I get?

Five per rolling 24-hour window. It rolls forward from your last check rather than resetting at a fixed hour.

Is my text uploaded anywhere?

It's sent to our AI server to be scored, and that's the extent of its use. Nothing is published or kept once the result is back.

Does it check dialect, not just fusha?

Yes. Egyptian, Gulf, Levantine and Maghrebi dialect are all read, alongside how far a sample sits from an all-fusha default.

Is it accurate?

It reports signals and patterns, not proof, and no accuracy number is claimed anywhere on this page.

Can it prove a text was AI-written?

No. Nothing can. It points at patterns typical of machine-written Arabic, which is a different, harder problem than proving authorship.

Will this help my text get past a checker?

No, and that isn't what it's for. It's built to show the signals, not to help anyone slip past them.

Does it identify which AI model wrote something?

No. Most models share the same English-shaped defaults in Arabic, so this app reads for machine-written Arabic broadly rather than a specific model.

Why did my own formal writing get flagged?

Government, legal and religious Arabic default to fusha for reasons unrelated to AI, which puts them close to what this checker is tuned to notice.

Does it flag machine-translated Arabic?

Often, yes. Arabic translated from English tends to read stiff and over-formal, similar to the patterns this app looks for.

Does the digit set actually matter?

It's one signal among several. Locking onto one digit set (Western, Eastern Arabic-Indic, or the Persian and Urdu extended set) across a long sample is a small tell.

Does hamza placement affect the result?

It contributes, but on its own it isn't decisive. Flawless hamza seating throughout a long passage is unusual; an occasional slip is normal.

How is this different from the general AI detector?

This one is tuned to Arabic-specific signals: register, digits, hamza and tatweel. The general detector reads English phrasing patterns instead.

Is there an API or bulk checking?

Not yet. Checks run one at a time, up to 5 per rolling 24 hours.

Does the length of the sample matter?

Yes. A short line doesn't give the check much to go on. Longer samples produce a steadier read.

What should I do if I'm wrongly accused?

Keep drafts and version history, and be ready to explain your register choice. A named signal can be discussed; an unexplained accusation can't.

Does it work on mobile?

Yes. The checker and its results both work fine in a phone browser.