Now part of Verify — the AI-output tab of Vincony's Fact Checker super-tool. Open it →
AI that checks its own work.
AI models hallucinate. The Hallucination Detector automatically scans every output, flags unreliable claims with confidence scores, and delivers a corrected version — before you use it.
Factual accuracy at every step of your AI workflow
Claim-level verification powered by multi-model cross-checking.
Automatic Verification
Every piece of generated content is automatically scanned for factual claims. The detector cross-references claims against multiple models without any manual effort on your part.
Claim-Level Analysis
The detector breaks content down into individual claims and verifies each one independently. You see exactly which sentences are reliable and which are flagged — not just a blanket pass or fail.
Confidence Scoring
Each claim receives a confidence score from 0–100. Green means high confidence across models; amber means uncertain; red means at least one model contradicts the claim.
Corrected Output
For flagged claims, the detector generates a corrected version where possible. You get the original output with inline annotations plus a clean corrected version ready to use.
How it works
Generate content
Use any model to generate text — an article, summary, research note, or answer. The hallucination detector works on any AI-generated content.
Hallucination scan
The content is parsed into individual claims and each claim is cross-verified against multiple AI models. The scan identifies factual inconsistencies, unverifiable statements, and contradictions.
Get corrected output with flagged claims
You receive the original content with colour-coded claim annotations, a confidence score per claim, and a corrected output with problematic claims rewritten or removed.
Who relies on Hallucination Detection
Available on Pro and above
Hallucination Detection is available on Pro ($24.99/mo) and above. Each scan costs 3 credits. Auto-scan on all outputs is available on Power ($54.99/mo) and above.