Boring Report

Boring Report is an AI summarizer tool. An AI news app that rewrites sensational articles into plain, neutral copy so readers can focus on facts instead of clickbait headlines. Available as a web app and on the App Store, with Android in beta.

Boring Report is a news reading app built on a single premise: catchy headlines pull attention away from the facts. The product takes published articles and passes them through AI language models that rewrite the copy in a flat, neutral register. Headlines lose their hooks, opening paragraphs lose their drama, and what remains is a plainer account of what happened. The stated goal is simple: make the news boring enough that a reader can concentrate on the details rather than the framing. The mechanics are straightforward. A reader opens the app, browses the day's stories, and reads the AI processed version instead of the original. The homepage describes the output as a transformation of exciting articles into calmer content, with sensationalism minimized along the way. There is no promise of fact checking or of sourcing beyond the underlying article, so the tool should be understood as a stylistic filter rather than a verification layer. The audience is anyone who finds modern news presentation exhausting: people who want an overview of current events without the emotional pull of a crafted headline, and readers who suspect that dramatic framing is shaping their opinions before they reach the second paragraph. It suits casual daily browsing more than deep investigative reading, since a rewritten article is one step removed from the journalist's original wording. Among alternatives, Boring Report sits closest to summarizer and news aggregator tools, but its angle is different. Summarizers shorten; this one re-voices. That distinction matters for anyone who cares about a publication's exact language, because the neutral tone you read is the model's, not the newsroom's. It is available as a web app and on the App Store, with an Android version in beta and beta testers recruited through a public form. The project is small, run by two named developers, and asks for donations to cover running costs.