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Hindi AI detector

What the Hindi AI detector does

This app checks Hindi text for the patterns typical of AI-generated Hindi writing: an over-Sanskritised register, danda use, conjunct handling, and the near-total absence of everyday English code-mixing. It's built for the exact question people search, is this Hindi text AI-written, and answers 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 Hindi text actually gives itself away

Hindi has its own tells that a checker built around English phrasing would never catch. None of them mean anything alone; the app reads for how many show up together.

An over-Sanskritised, shuddh register
अतः, तथापि, यद्यपि reached for by default, the formal tatsam vocabulary of a news bulletin, where everyday written Hindi mixes in English words far more freely.
No English code-mixing at all
Real digital Hindi routinely drops in English nouns and verbs mid-sentence. Text that stays in pure Hindi throughout reads as unusually deliberate.
Flawless danda use
। ending every sentence with textbook consistency, where casual digital Hindi typing very often defaults to an ordinary period instead.
Suspiciously tidy conjuncts
Zero-width joiner and non-joiner characters control how conjuncts like क्ष or ज्ञ render. Perfectly uniform conjunct formation across a long passage is a small but real signal.
A tidy closing summary line
A wrap-up sentence added to a piece that never asked for one, the Hindi equivalent of the stock AI blog ending.

Workflow

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

Nothing to configure, no format to match.

1. Paste your Hindi text
A draft, a submission, a comment. 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 Hindi text?

Not for certain. Most models default to the same formal, Sanskrit-leaning Hindi regardless of which one wrote it, avoiding the English code-mixing that dominates real digital Hindi, so this app reads for machine-written Hindi broadly, not for a single model.

Ask the same model for a casual, Hinglish-inflected tone, and much of that default shape disappears. Treat a match as worth a closer look, not as a finished answer.

Why flags happen

Why Hindi writers get flagged by mistake

Hindi has less training data behind it than English, and formal registers dominate what data exists, so this app is built to say plainly where its own signal runs thin.

Official Rajbhasha Hindi
Government correspondence already defaults to heavily Sanskritised vocabulary, for reasons that have nothing to do with AI.
Machine-translated Hindi
Hindi translated from English by a separate tool often lands in the same formal, tatsam-heavy register this checker is tuned to notice.
Careful non-native learners
Shuddh Hindi is exactly what classroom Hindi courses teach, so a learner following the lesson closely writes the same safe, formal shape a model defaults to.

If it happens to you

What to do if your Hindi writing gets wrongly flagged

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

Keep every draft
Earlier versions are the clearest evidence a piece was built, not generated whole.
Explain your register
Why you wrote in shuddh Hindi, for a formal or academic context, is something a generic default can't supply.
Ask exactly what was flagged
A named pattern, a vocabulary choice or a punctuation habit, is something you can discuss. A bare score isn't.

Who it's for

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

Editorial teams screening Hindi submissions, teachers weighing in on unusually polished essays, 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. Hindi AI detector FAQ

How do I check Hindi 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 Hindi 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 Hinglish and code-mixed text?

Yes. Code-mixing with English is what genuine digital Hindi usually looks like, and its absence is one of the signals the app weighs.

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 Hindi, 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 default to the same formal, Sanskrit-leaning register in Hindi, so this app reads for machine-written Hindi broadly rather than a specific model.

Why did my own formal writing get flagged?

Official Rajbhasha Hindi already leans on heavily Sanskritised vocabulary for reasons unrelated to AI.

Does it flag machine-translated Hindi?

Often, yes. Hindi translated from English tends to land in the same formal, tatsam-heavy register this app looks for.

Does danda use actually matter?

It's one signal among several. Flawless use of । throughout, where casual typing usually mixes in an ordinary period, is a small but real tell.

Does conjunct formation affect the result?

It contributes. Unusually uniform conjunct rendering across a long passage is one of several signals, never decisive alone.

How is this different from the general AI detector?

This one is tuned to Hindi-specific signals: register, danda use and conjunct handling. 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.