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Count words, characters, sentences, and analyze text readability with Flesch scores
Start typing or upload a file to see statistics
Word counter computing 12+ statistics: words, characters (with/without spaces), sentences, paragraphs, lines, syllables, average word length, average sentence length, unique words, and longest/shortest word. Includes readability scores (Flesch-Kincaid, Gunning Fog), word frequency table with counts, keyword density analysis, letter density distribution chart, estimated reading time (slow/average/fast), and a word goal progress bar with configurable target.
Basic word counters miss important metrics like readability, keyword density, and reading time. This tool provides a comprehensive dashboard so writers and editors can assess all aspects of their text in a single view.
Writers, editors, SEO content strategists, students, and anyone who needs detailed word-level analytics for essays, articles, reports, or creative writing.
Paste or type text into the input area; all statistics update in real time.
Scroll through the Stats section to see words, characters, sentences, paragraphs, lines, and syllables.
Set a word goal target in the Goal section — the progress bar fills and turns green when reached.
Review the Word Frequency table sorted by frequency (highest first) to see which words are most common.
Check Keyword Density by entering a target keyword; the tool shows its occurrence count and density percentage.
View the Reading Time section showing estimated read time at slow (150 wpm), average (250 wpm), and fast (350 wpm) speeds.
Input: "The quick brown fox jumps over the lazy dog. This sentence has exactly ten words." → Stats: 15 words, 72 chars, 2 sentences, 1 paragraph; Avg word length: 3.9; Reading time: ~3 seconds (average)Input: "SEO SEO SEO content writing tips for SEO bloggers" with keyword "SEO" → Word freq: SEO=4, writing=1...; Keyword density: SEO = 44.4% (4 of 9 words)both output a US school grade level (e.g., 8.5 = 8th grade).
Unicode text including CJK, Arabic, and Cyrillic is supported. Syllable counting works best for English.
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