FREE AI Hallucination Detector · no signup

Is your AI making things up?

Paste any AI-generated answer and we'll check it claim by claim — flagging fabricated facts, unsupported statements and invented citations before they reach your readers.

Works with ChatGPT Claude Gemini Perplexity & any LLM
AI Hallucination Detector
Claim-by-claim fact verification · with sources
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0 / 200 words
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Paste an AI answer or try a sample. We'll score its reliability and flag every shaky claim.

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WHAT WE CATCH

The four ways AI lies to you

Large language models are fluent, not factual. We separate what's grounded from what's guessed.

Fabricated facts

Confident statements that are simply untrue — wrong dates, fake statistics, invented events presented as established fact.

Invented citations

Plausible-looking sources, papers, authors and URLs that don't exist — the single most common academic AI failure.

Unsupported claims

Assertions with no verifiable backing — opinions stated as facts, extrapolations, and over-confident generalizations.

Internal contradictions

Claims that conflict with other statements in the same answer — a tell-tale sign the model is improvising.

Source verification PRO

Every supportable claim is matched to real web sources you can click through and verify yourself.

PRO

Exportable report PRO

Download a full reliability report — every claim, verdict and source — to share with editors, teachers or clients.

PRO
HOW IT WORKS

From answer to audit in seconds

1

Paste the AI text

Drop in any LLM answer — a paragraph or a full essay. Nothing is stored.

2

We break it into claims

Each factual statement is isolated and checked against what's verifiable.

3

Read the verdict

A reliability score plus a color-coded breakdown — and sources on Pro.

HOW WE COMPARE

Why not just ask the chatbot to check itself?

The model that invented a fake citation will usually defend it. Real verification means checking claims against something outside the AI — which is exactly what we do.

Ask the chatbot to check itself Generic AI detector TextSight HALLUCINATION CHECK
Verifies real citations (DOI, PubMed, arXiv, ISBN) against live databases No No Yes
Checks the text claim by claim ~ Sometimes No Yes
Flags fabricated statistics, quotes & events ~ Sometimes No Yes
Separates verified facts from the AI's guesses No No Yes
Works on any chatbot's output (ChatGPT, Claude, Gemini) ~ Its own only Yes Yes
Free, no signup ~ Needs the paid chatbot ~ Varies Yes

Looking for whether text was written by AI rather than whether it's true? That's a different job — try our AI detector.

FAQ

Common questions

What is an AI hallucination?
A hallucination is when an AI model states something false or unverifiable with total confidence — a made-up statistic, a fake citation, a wrong date, or an event that never happened. Because the text reads fluently, these errors are easy to miss. This tool surfaces them so you can fix or remove them before publishing.
How does the checker decide what's a hallucination?
We split the text into individual claims, then assess each one for verifiability, internal consistency, and the linguistic patterns that correlate with fabrication (false precision, hedging, invented specifics). On Pro, each supportable claim is additionally matched against live web sources.
Is it 100% accurate?
No automated checker is perfect — treat the result as a prioritized list of what to double-check, not a final ruling. It dramatically narrows where to focus your fact-checking, especially on long answers, but a human should confirm anything high-stakes.
Which AI models does it work with?
Any of them. Paste output from ChatGPT, Claude, Gemini, Perplexity, Llama, or any other LLM — the analysis is on the text itself, so the source model doesn't matter.
Do you store the text I paste?
No. Free checks are analyzed transiently and never used to train our models. Pro checks can be saved to your private history if you choose, and deleted any time.
Why do AI chatbots hallucinate?
Because a language model is built to predict fluent-sounding text, not to tell the truth. When it doesn't actually know something — a precise statistic, a source, an exact date — it fills the gap with a plausible guess instead of saying "I don't know." Rare facts and specific citations are where models invent the most, which is why those are the first things we check.
Can ChatGPT detect its own hallucinations?
Not reliably. The same model that invented a fake citation will usually defend it when you ask, because it has no memory of what's real — only what sounds right. An independent check that verifies claims against outside sources catches what the model can't see in itself. Our AI fact-checker works the same way for general claims.
How do I check AI-generated citations and references?
Paste the text and we pull out every DOI, arXiv ID, PubMed ID, ISBN and link, then look each one up in the real database — CrossRef, PubMed, arXiv and Open Library — plus a live check on any URL. A reference that doesn't resolve is flagged as fabricated, backed by the actual lookup rather than a guess. Need to format real citations instead? Use our citation generator.
What's the difference between an AI detector and a hallucination detector?
An AI detector estimates whether text was written by an AI. A hallucination detector checks whether the facts are true. They're different jobs: human-written text can be full of hallucinations, and AI-written text can be perfectly accurate. Use this tool when you care about accuracy, not authorship.
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