Introducing BiasChecker.ai: What It Is and Why We Built It

Every article you read wants something from you. Sometimes just your attention; often your agreement. The words are chosen, the facts are selected, the frame is set — and all of it works best when you don't notice it happening.

BiasChecker.ai exists to make that visible. It reads the article with you and shows you what it's doing: the slant, the persuasion techniques, what's been left out — each finding tied to the exact passage it comes from, so you can judge the evidence yourself. Not to tell you what to think, but to make sure the thinking is yours.

What it does today

BiasChecker runs thirteen analysis lenses over any article or text, grouped by the question they answer:

• Is it slanted, and how is it working on you? Bias Analysis (29 categories), Persuasion (8 mechanics + 8 logical fallacies), Intent Analysis, and Omissions.
• Does it hold up? Critique, Legal Risk, Moral Lens, and Scientific Assessment.
• What's the fuller picture? Background, Historical Parallels, a Neutral Rewrite with the spin stripped out, and a Roast — because some writing deserves comedy.
• Then it comes together: Synthesis, an analyst's report built from the other analyses — what the piece is doing to its reader, how, and what checks out.

It runs in two places: a Chrome extension that analyses the page you're reading in a side panel (launching soon — join the waitlist), and the analyser on this site, where you can paste any text right now.

Don't trust one AI — that includes ours

The uncomfortable truth about AI bias detection is that the AIs have biases too. Rather than pretend otherwise, we built the product around it: you can run the same article through a dozen models from rival AI labs and see where they agree and where they split — disagreement is the signal that a claim is contested. Or pick Consensus and let a panel of models from different labs analyse the article independently and merge their verdicts, with every model named.

See how differently models judge the same article on our models page — the comparisons are real, unedited outputs.

The principles behind it

• Every finding cites its evidence. No verdicts from nowhere — each finding anchors to the passage it rests on, so you can always check the analysis against the text.
• Critical by design. The lenses look hard for problems; that's their job. A finding is a starting point for your judgement, not a conviction.
• Open methodology. We publish how every analysis works, including the actual questions we ask the models. No black box.
• Not a truth arbiter. BiasChecker doesn't decide what's true or which side is right. It shows you how a text works on its reader — the judgement stays with you.

What we've learned so far

Running hundreds of analyses over real news articles has taught us things we didn't expect — most notably that the common biases are structural, not partisan: framing appears in four out of five articles we analyse, while explicit political slant ranks only seventh. The full numbers are in what we actually find in real articles.

Try it

There's a free 14-day trial — no credit card — and every plan includes all thirteen lenses and every AI model. Paste any article and see what it's been doing to you.