#text-analysis

A fast, fully-local natural-language toolkit for English and beyond: sentiment analysis with an AFINN score, comparative value, positive/negative label and the matched words; named-entity extraction (people, places, organisations, topics, dates, values, emails and hashtags); part-of-speech tagging (nouns, verbs, adjectives, adverbs, pronouns); keyword and noun-phrase extraction by frequency; tokenization into sentences and tokens with readability statistics (word, sentence and syllable counts, reading time and Flesch reading-ease); and language detection returning an ISO 639-3 code and language name. Every endpoint takes text via the query string or the request body and returns lean JSON. Pure server-side computation (no third-party upstream, no token costs), so responses are instant and always available. Ideal for moderation and feedback analysis, chatbots, search and tagging, content tooling and analytics.

api.oanor.com/textnlp-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