AI-powered content trust platform

Trusul

AI Fake News & Content Credibility Detector

Use Trusul as an AI fake news detector and fake news checker for suspicious news links, online claims, and articles. This news credibility checker and content credibility checker works as a practical misinformation detector, highlighting source coverage, topic, sentiment, and reading level in one clear report before you trust or share content.

3AI Signals
FastAnalysis Time
0-100Credibility Score
PrivateSaved History

Everything you need to fight misinformation

Three independent AI signals combine into one transparent credibility score.

NLP Linguistic Analysis

Detects sensationalist vocabulary, emotional manipulation, ALL-CAPS abuse, clickbait phrases and excessive punctuation - patterns common in misinformation.

Google Fact-Check API

Extracts key claims and queries the Google Fact Check Tools API, matching against thousands of verified fact-checks from PolitiFact, Snopes, Reuters and more.

Cross-Source Verification

Searches NewsData.io to check how many reputable outlets - BBC, AP, Reuters, CNN - are covering the same story. Isolated stories score higher risk.

Transparent Scoring

Every score comes with a full breakdown. You see exactly which signal contributed how much - no black-box decisions.

Scan History & Dashboard

All your analyses are saved with a personal dashboard showing verdict trends, risk distributions and a history you can export as CSV.

Accessibility First

Built with WCAG in mind. Dark mode, full keyboard navigation and ARIA labels throughout.

How it works

From input to credibility score in four steps.

1
Submit Paste article text or a news URL
2
Extract NLP engine extracts text and key claims
3
Verify Fact-check and cross-source APIs queried
4
Decide Risk score + evidence returned instantly

Understanding the credibility score

A 0-100 composite score from three independent signals.

80-100
Low Risk

High credibility based on the available signals. Treat this as a review aid, not a guarantee of truth.

50-79
Medium Risk

Needs review. Verify with trusted sources before sharing or acting on this content.

0-49
High Risk

Strong misinformation signals detected. Do not share without independent verification from reputable sources.

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