// Blog
Guides on Unicode artifacts, AI text quality, readability scoring, and SEO.
Why TextPurify Processes Everything in Your Browser
Most text analysis tools send your content to a server. TextPurify doesn't. Here's a technical explanation of how every computation — from Unicode scanning to BERT-based sentiment analysis — runs locally in your browser.
How to Purify Text: Removing Hidden Characters from AI and Web Content
Purifying text means stripping invisible Unicode artifacts, non-standard spaces, and typographic noise that accumulate in AI-generated and copy-pasted content. Here's how to do it correctly.
How to Detect Unicode Artifacts in AI-Generated Text
AI writing tools silently insert invisible characters and typographic substitutions that break copy-paste workflows, confuse parsers, and can get your content flagged. Here's how to find and remove them.
What Are Water Words and Why They Kill Your SEO
Stop words make up 40–60% of most AI-generated text. Understanding water word density helps you write leaner, more authoritative content that ranks better and converts more.
Readability Scores Explained: Flesch-Kincaid, LIX, and Why They Matter
Readability formulas translate prose complexity into a single number. Understanding how Flesch-Kincaid and LIX work helps you write for your actual audience — and optimize for search.
Passage Optimization and AEO: Writing for AI Overviews
Google now indexes individual passages, and AI systems extract answers from specific paragraphs. Here's how to structure content so both humans and machines can find your answers.
Why AI-Generated Text Contains Hidden Characters
Language models don't generate plain ASCII — they produce Unicode-rich text shaped by their training data. Here's the technical reason AI text is full of invisible characters, and why it matters.