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Denoise It

Denoise It is an AI engine that decomposes any content (tweet, headline, article, claim, or URL) into its objective truth vectors (verified facts, statistics, and attributions scored against primary sources) and its affe

Code Video Cerebral Valley

Core trick

Splits content into claims, checks each against cited primary sources, and labels emotional framing separately so every claim links to its evidence.

Tags

science

Description

Denoise It is an AI engine that decomposes any content (tweet, headline, article, claim, or URL) into its objective truth vectors (verified facts, statistics, and attributions scored against primary sources) and its affective noise (emotional language, bias, narrative framing, speculation, and missing context, each quoted and named), returning a structured, source-auditable and shareable decomposition where every claim has a receipt and every distortion has a label. Not a summary. Not a simple fact-check. A max(signal/noise) audit extraction.
vichudo/denoise-it★ 00 forksTypeScriptMITCreated Feb 11, 2026 · last push Oct 17, 2026

README excerpt

# Denoise It

**Strip the noise. See what's real.**

Denoise It is an AI-powered fact-checking platform that separates **signal** (verifiable truth) from **noise** (emotional language, bias, sensationalism, and narrative framing) in any piece of content. Paste a tweet, headline, article, claim, link, or rumor — and get a clear, source-backed verdict in seconds.

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## How It Works

1. **Paste anything** — A tweet, headline, article, claim, link, question, or rumor.
2. **AI analyzes** — An AI agent cross-references primary sources, government data, and peer-reviewed research in real time using web search.
3. **See the signal** — Get a clear verdict with confidence scores, sourced facts, and every piece of noise identified and explained.

## Features

- **Signal extraction** — Verifiable facts, statistics, and attributions pulled from primary sources with confidence scores
- **Noise identification** — Emotional language, bias, speculation, sensationalism, and missing context flagged and explained
- **Source credibility s

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