ApyHub Readability Scores Documents API vs UsingEnglish Text Analyser

ApyHub Readability Scores Documents API scores documents and publicly accessible web pages, returning a readability score, reading level, and text statistics. File requests accept PDF, DOC, or DOCX uploads up to 100 MB. English checks use the Flesch Reading Ease formula by default, while German uses the Wiener Sachtextformel. Results can include word, sentence, character, and paragraph counts, average lengths, and estimated reading and speaking times. The score includes a grade class, a plain-language label, and an indication of whether a standard readability threshold is met. ApyHub lists uses such as reviewing contracts, policies, manuals, help pages, websites, reports, and proposals; AI agents can also access the API through ApyHub MCP for content reviews. The product page offers five API calls a day free without a card. Starter is free and includes 3,000 atoms per month; Pro costs $16 a month and Pro+ $42 a month. Requests can return a 429 rate_limited error when the plan's per-second limit is exceeded.

UsingEnglish Text Analyser is a free web tool for examining text statistics, word patterns, and readability. The standard analyser counts words, different words, paragraphs, sentences, characters, and syllables, and reports hard-word and long-word measures plus the Gunning Fog Readability Index. It groups words by length with graphs and a frequency table, and produces a word cloud that scales terms by frequency while omitting very common words. The standard version handles up to 10,000 characters. The advanced analyser is also free, requires registration, accepts up to 100,000 characters, and can save up to 20 texts. Its tools include a sortable word-frequency list, word-length breakdown, graded text analysis, common-phrase analysis, and additional readability scores. Graded analysis compares vocabulary against the British National Corpus or General Service List, which can help when selecting vocabulary for learners. The standard analyser is described as suitable for students, translators, writers, and others who want to study text statistically.