textlens
Zero-dependency text analysis and readability for TypeScript
textlens launched on March 8, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
textlens: zero-dependency TypeScript library & CLI for text analysis. Runs 100% locally, no API calls. 8 readability formulas (Flesch, Flesch-Kincaid, Gunning Fog, SMOG, Coleman-Liau, ARI, Dale-Chall, Linsear Write) with consensus grade. AFINN-165 sentiment analysis. TF keyword extraction with stopword filtering. Keyword density (unigram/bigram/trigram). SEO scoring with actionable suggestions. Reading time estimation. Extractive summarization. CLI with pretty, JSON & minimal output.
Zero-dependency text readability TypeScript library. 8 readability formulas including Flesch-Kincaid for Node.js, sentiment analysis JavaScript, keyword extraction, and SEO scoring. Readability score npm package with CLI.
Zero dependencies. 8 readability formulas. Sentiment analysis. Keyword extraction. SEO scoring. CLI included. Works out of the box. $ npm install textlens Support this project — $5 Zero dependencies 8 readability formulas Sentiment analysis TypeScript-first Node.js ≥ 16 CLI included Using textlens in production? TextLens API gives you the same analysis — readability, sentiment, keywords, NER — as a hosted REST API. No Node.js required. Perfect for Python pipelines, Kafka consumers, and polyglot data stacks. import { analyze } from 'textlens' ; const result = analyze( 'Your text goes here...' ); result.statistics.words; // word count result.readability.consensusGrade; // grade…from ckmtools.dev
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