Readability Score is a simple tool for calculating the readability score of text. It returns the readability score based on various readability formulas.

This is a fork of https://github.com/clearnote01/readability#readme with vulnerability patches

Website Readability is a simple tool for analyzing the readability of a website. It returns the readability score of the website provided.

A CLI app that runs the Flesch-Kincaid readability score recursively on AsciiDoc and Markdown files.

Cloudflare Workers MCP server wrapper: korean-readability-score

Check what AI agents can read on any web page: a readability score, the missing facts and a ranked fix list. Runs locally with no telemetry.

npm package includes TypeScript and is designed to calculate various statistics from text in order to determine the readability, complexity, and grade level of a given corpus.

Textifyer is a powerful package for analyzing text. It provides functionalities for character counts (with/without spaces), word, sentence, and paragraph counts, space count, reading time estimation, readability score, keyword density, lexical diversity,

A standalone version of the readability library used for Firefox Reader View.

Detect AI agents. Serve them markdown. Audit your site against the Agent Readability Spec.

See exactly what Google and AI engines understand about a page from its structured data (JSON-LD, microdata, RDFa, Open Graph), with a machine-readability score, the rich results it can earn, and the gaps to fix.

Fast HTML to markdown cross-compiler, compatible with both node and the browser

Readability analysis CLI.

Open-source accessibility scoring CLI — aggregates axe-core, eslint-plugin-jsx-a11y, and more into a unified score.

the readability script ported to a sax parser

Formula to detect the ease of reading a text according to the Automated Readability Index (1967)

retext plugin to check readability

Yet another javascript fuzzy matching library

Map over promises serially

Extract article content and metadata from web pages.