#text-analysis

Score how easy a piece of text is to read using the standard, peer-reviewed readability formulas — Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau and the Automated Readability Index. Pass text and get all six scores back together with the underlying counts (words, sentences, syllables, complex and polysyllabic words, letters and characters), an averaged grade level, an estimated reading time and a plain-English interpretation of the reading ease. A second endpoint counts syllables for a word or for every word in a phrase. Supply text inline via ?text=, as a query parameter or in a request body; everything is computed locally with no network calls, so it is fast and deterministic. Built for content and copywriting tools, SEO and editorial workflows, education and accessibility (plain-language) checks, and UX-writing review. A readability scorer — distinct from sentiment/NLP analysis (nlp), spelling and grammar checking (grammar), the case and text utilities (text) and string similarity (similarity). No upstream key, no cache.

api.oanor.com/readability-api

Analyse text in real time: sentiment scoring (positive / negative / neutral with the matched words), automatic language detection across 180+ languages, and a combined analysis endpoint with text statistics. No setup, no model hosting.

api.oanor.com/nlp-api