InformLens helps you assess whether a claim looks strongly supported, weakly supported, exaggerated, or missing key context - before you repeat it with confidence.
Start with the exact wording of a claim, a news article URL, a Facebook post, or a YouTube link. InformLens takes the input and prepares it for structured analysis.
InformLens looks at whether the claim appears tied to identifiable, attributable, or original sources - or whether it relies on vague, second-hand, or unsupported framing.
Claims are stronger when they are independently supported. InformLens evaluates whether the claim appears broadly reinforced, weakly repeated, or isolated without meaningful confirmation.
A claim can sound convincing while still missing key details. InformLens looks at whether important context appears absent, distorted, or overstated in the way the claim is framed.
You receive a confidence score, badge, and explanation that show how strongly the claim appears to hold up based on the available signals.
InformLens also generates a ready-to-use response you can copy into comment sections, group discussions, posts, or replies - with a natural prompt for others to check the full breakdown on InformLens themselves.
For YouTube links, InformLens attempts to assess the claim against what is actually said in the video transcript. If transcript access is unavailable, InformLens treats the claim as less independently verifiable and reduces confidence accordingly.
That matters because many viral claims are not about whether a video exists - they are about whether the story wrapped around the video is actually supported by what is said or shown.
Information moves fast. Claims are often repeated long before they are properly checked. InformLens is designed to slow that moment down - just enough for people to ask whether a claim is actually well supported, weakly framed, or missing something important.
Analyse attribution, corroboration, and context in seconds.
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