The average novel uses only 10,000 unique words.
How diverse is your vocabulary?
Simply paste your text into the input field. The analyzer immediately processes it to calculate word frequencies, reading level (Flesch-Kincaid), vocabulary diversity, and generates a visual word cloud.
Vocabulary diversity (also known as lexical richness) is the ratio of unique words to the total number of words. A higher percentage indicates a more varied and richer vocabulary.
We use the Flesch-Kincaid Grade Level formula, which evaluates the average number of words per sentence and the average number of syllables per word to estimate the US school grade level required to understand the text.
Yes, you can export the word frequency table and other key statistics as a CSV file for further analysis in spreadsheet software like Excel or Google Sheets.
Yes, by default, common English stop words are filtered out from the word cloud and frequency table to highlight the most meaningful words in your text, though you can toggle this setting.
Our AI analysis uses three heuristic signals: burstiness (variance in sentence length — human writing is "bursty" with short and long sentences mixed, while AI tends toward uniform lengths), phrase repetition (repeated bigram patterns that indicate formulaic writing), and AI-typical phrases (common filler phrases like "it is worth noting" or "delve into" that appear frequently in AI-generated text). These are indicators, not proof — always use human judgment alongside any tool.
No single tool can reliably detect AI text with 100% accuracy. Our heuristic analysis provides data points — burstiness scores, phrase patterns, and vocabulary diversity — that may suggest AI involvement. However, skilled human writers can trigger false positives, and sophisticated AI prompting can produce human-like patterns. Use these signals as one input among many, not as a definitive verdict.