Text Inspector vs UsingEnglish Text Analyser

Text Inspector analyses English text for difficulty, readability, lexical diversity, and CEFR levels. Its overall difficulty score draws on more than 200 metrics, while the CEFR Level Checker gives individual words a level along with their commonness and difficulty. Listed tools include Statistics and Readability, Lexical Diversity, Scorecard, Tagger, EVP, BNC, COCA, Academic Word List and Phrases, Knowledge-Based Vocabulary Lists, and Metadiscourse Markers. An API lets people and organisations add analysis and scoring to their own products. The maker describes it as useful to language professionals, academics, and students preparing teaching materials or tests and evaluating student work. English is fully supported; other languages may receive limited statistics or lexical-diversity information. The Free plan covers 250 words and automatically deletes analysis data after six hours. The Organisation plan allows up to 13,000 words, the largest stated limit. A 30-day trial is listed for API access, which starts from £360 per year.

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.