Multimodal Cross-Checker
Give an image and a claim about it; a vision model decides whether the image supports, contradicts, or partly supports it — and flags misleading charts (truncated axes, cherry-picked ranges) — shown as a colour-coded verdict and a confidence gauge.
How it works
- Input: pick a sample image (or upload one) + a claim about it.
- Analyze: a vision model reads the image (incl. any text/numbers) and tests the claim.
- Verdict: supported / partly / contradicted, with confidence + cited reasoning.
- Chart audit: if it's a chart, misleading techniques are flagged.
Image + claim
→
Vision modelread + reason
→
Verdict+ chart flags