#entropy

Measure the information content of text. The analyze endpoint computes the Shannon entropy in bits per symbol, the total information in bits and bytes, the maximum possible entropy for the alphabet that was actually used, and a normalized 0–1 score that says how uniform (random-looking) the distribution is — over Unicode code points or raw UTF-8 bytes. The frequency endpoint returns the full character-frequency distribution, most common symbol first, with counts and percentages, showing control characters escaped and bytes as hex. It is exact, deterministic and runs entirely locally with no network calls, so it is instant and private. Ideal for randomness and password-quality checks, estimating how compressible data is, language and classical-cipher analysis, spotting low-variety or repetitive input, and feature extraction for text classification. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This measures information content; for password-strength scoring use a password API, for number statistics use a statistics API, and for grapheme/character counts use a text-segmentation API.

api.oanor.com/entropy-api

A fast, fully-local password toolkit: generate cryptographically-secure random passwords (configurable length, character classes and exclude-similar), estimate password strength (entropy bits, a 0-4 score, character-class breakdown, common-password detection, an offline crack-time estimate and actionable feedback), and create memorable diceware-style passphrases. Built on Node crypto, no third-party upstream, and inputs are never logged — so responses are instant, private and always available. Ideal for signup and account flows, admin tools, password managers and security features.

api.oanor.com/password-api