Veracity Text Linter
Paste a draft. See why it feels generic.
Fast Scan runs locally in your browser. Deep Scan uses VeracityAPI for semantic risks like provenance weakness, hallucination risk, and synthetic texture.
Fast Scan runs locally in your browser. We do not receive this text.
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Five deterministic methods, one Fast Scan.
The Text Linter Fast Scan combines five deterministic signals into one inline highlight pass. Each method has its own free standalone tool and its own methodology page if you want to inspect the math, the dictionaries, and what the signal does and does not prove. None of these signals — alone or together — proves who wrote the text; together they give an editor or an agent a transparent reason to allow, revise, escalate, or reject a draft.
Specificity
Rewards named entities, numbers, source cues, dates, and concrete examples; penalizes generic generalizations.
Tool · /tools/specificity-score-checkerProvenance Weakness
Flags unsupported statistical claims, anonymous-authority phrases, and overbroad absolutes that need visible sourcing.
Tool · /tools/provenance-weakness-checkerStylometric Fingerprint
Describes sentence rhythm, lexical diversity, function-word density, punctuation profile, and readability complexity.
Tool · /tools/stylometric-fingerprintPattern Pressure
Detects cliché AI-slop scaffolds, unsupported boosters, em-dash rhythm density, and formulaic phrasing pressure.
Tool · /tools/pattern-pressure-checkerUnicode Evasion
Surfaces invisible characters, bidi controls, compatibility glyphs, and mixed-script lookalikes before text hits filters or agents.
Tool · /tools/unicode-evasion-scannerFor the full epistemology — what we claim to measure and what we explicitly do not — see /methodology.
Not proof of AI authorship.
Veracity Text Linter highlights deterministic writing signals — repetition, generic scaffolds, hedges, passive constructions, hard sentences, and specificity gaps. It does not prove who wrote the text. Use Deep Scan or the API when the workflow needs semantic risk routing.