Text analysis produces a comprehensive profile across several dimensions. Readability metrics tell you how easy the text is to read and the approximate education level required. Sentiment analysis indicates whether the overall tone is positive, negative, or neutral. Keyword density shows which terms appear most frequently: useful for SEO and identifying overused words. For a focused word and character count with reading time, the Word Counter provides a quicker statistical summary. For condensing long text before analysing it, use the Text Summarizer first.

We provide raw character counts (including spaces) and filtered counts. Some platforms count newlines differently; we aim for the standard programming length.

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Keyword density is the percentage of times a specific word or phrase appears relative to the total word count. Very high density (above 3–4%) for a target keyword can be flagged as keyword stuffing. The analyser shows density for the most frequent terms, helping you balance natural language use with intentional keyword placement. If you need to humanize AI-generated content before running a tone analysis on it, the AI Text Humanizer rewrites AI text into natural-sounding prose first.