What is fact density?

Fact density is the proportion of a text made up of specific, checkable factual claims — names, dates, numbers, citations — versus opinions, generalities, and vague statements. High fact density means more to verify and more places an error can hide.

How does the tool classify sentences without an internet connection?

It uses linguistic heuristics — the presence of numbers, dates, proper nouns, and citation cues marks verifiable claims; opinion verbs and hedging mark interpretations; confident specific claims with no source marks hallucination risk. It does not check facts against the web, so it flags what to verify, not whether a claim is true.

Can it tell me if a claim is actually correct?

No. It cannot verify truth — that requires sources. It identifies which sentences make checkable factual assertions and which carry elevated hallucination risk, so you know where to point your own verification effort.

Why are confident-but-unsourced specifics flagged as risky?

Hallucinations most often appear as precise, confident details — a specific statistic, a named study, an exact date — presented without a source. The combination of high specificity and zero attribution is the strongest text-only signal that a claim warrants checking.

Is my text sent anywhere?

No. The analysis runs entirely in your browser using local heuristics. Nothing you paste is transmitted to us or any third party.

AI Output Fact Density Analyzer

AI output fact density analyzer

When you ask a model for an answer, the dangerous part is not the obvious opinion — it is the confident, specific-sounding claim with no source behind it. This analyzer measures the fact density of AI-generated text: it classifies each sentence as a verifiable factual claim, an opinion or interpretation, or a hallucination-risk statement, and reports the overall mix. It cannot tell you whether a fact is true — only a source can — but it tells you exactly where to aim your verification.

How it works

The tool splits the text into sentences and scores each with local linguistic heuristics. Numbers, dates, proper nouns, and citation cues mark a sentence as a verifiable factual claim. Opinion verbs (“I think”, “arguably”) and value words mark an opinion or interpretation. A sentence that is highly specific and confident yet carries no source or hedge is flagged as hallucination risk — the classic shape of a fabricated detail. It then reports counts and a fact-density score. Everything runs in your browser.

Tips and notes

Density is not truth. A high score means more checkable claims, not correct ones — verify the flagged sentences against real sources.
Watch the risk bucket. Confident specifics with no citation are where hallucinations hide; check those first.
Pair with a citation prompt. Ask the model to cite sources, then re-run — attributed claims drop out of the risk bucket.
Heuristics, not magic. Edge cases (rhetorical numbers, quoted opinions) can misclassify; use the breakdown as a guide, not a verdict.