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Rewrites the article you're reading into a factual, complete version and scores it on academic truthfulness & bias rubrics. ■ 🎯 Read the News Factually, Side by Side • Factualizer analyzes the news article you're reading and shows the result right next to the original, in a resizable side-by-side panel. • One click gives you a factual, style-preserving rewrite of the article, a neutral title and summary, and a transparent bias & truthfulness scorecard — with the exact quotes that earned every score. ■ ✨ Key Features • Factual rewrite that keeps the original's voice, structure, and images — with inline remarks on omissions, loaded phrasing, and out-of-context quotes • Academic scorecard: 19 rubrics across two separate axes — Truthfulness & Reliability and Bias & Framing — never blended into one number • Every score below perfect must cite verbatim evidence from the article • Optional web-research pass verifies claims and restores omitted context • Bring your own AI: connect the API key of the cloud AI service you already use, run fully on-device with the browser's built-in model (no key needed), or point it at a self-hosted local model — the full list of supported services is on the project page linked below • Optional: get offered analysis automatically on news articles, or auto-run on sites you choose • Results are cached locally for 30 days — revisiting an article is instant and free • Interface localized into 40 languages, following the article's language ■ 👥 Who It's For Factualizer is for news readers, researchers, students, journalists, and media-literacy educators who want to see what an article says once the framing, omissions, and loaded language are stripped away — and an auditable account of how it was scored. ■ 🔒 Privacy Factualizer has no server. Article text is sent only to the AI service you configure, using your own API key — never to us or anyone else. Your key is stored locally in your browser and used only to call the service you chose. Analyses are cached locally and expire after 30 days. With the browser's built-in on-device model, nothing leaves your browser at all. ■ 🔗 Project Page & Feedback https://github.com/mjlee1983/factualizer/
Aug 4, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.