Text Statistics
Analyze word frequency, reading time, and more.
100% client-side processing
Basic Statistics
Reading Time
Top Words
Top words will appear here...
Character Distribution
Character distribution will appear here...
This text statistics analyzer goes far beyond a simple word count: paste any text and get characters, words, sentences, paragraphs, unique-word counts, reading and speaking time, longest word, and word frequency — all computed live in your browser. It’s for writers hitting length targets, editors checking structure, and speakers timing a script.
How to Use
- Enter text: Paste or type your content into the input area
- View stats: Watch every metric update in real time as you edit
- Analyze: Dig into word frequency and character distribution to see what dominates your text
Features
- Word, character (with and without spaces), sentence, paragraph, and line counts
- Reading time (238 wpm) and speaking time (130 wpm) estimates
- Unique-word count and longest-word detection
- Word frequency analysis and character distribution
- Unicode-aware counting for Chinese, Japanese, Arabic, Cyrillic, and more
- 100% client-side — your unpublished drafts stay private
How Reading Time Is Estimated
The “X min read” labels you see on blog posts aren’t decoration — readers use them to decide whether to commit. The 238 words-per-minute figure behind this tool comes from a widely cited meta-analysis of eye-tracking studies covering adult silent reading across languages. Real speed varies with text difficulty, formatting, and the reader’s familiarity with the topic, so treat the estimate as a planning number rather than a stopwatch. Dense technical documentation reads slower than a narrative essay of the same length.
Speaking time uses about 130 words per minute, the pace of clear, deliberate delivery for presentations and voiceovers. If you’re writing a five-minute conference talk, that’s roughly 650 words of script — a number that surprises most first-time speakers, who write far too much. Timing your draft here before rehearsal beats discovering on stage that your talk runs twelve minutes.
Tips for Using Text Statistics Well
Raw counts answer “how long,” but the other metrics answer “how written.” A very low unique-word ratio suggests repetitive prose that may need editing. Extremely long average sentence length often correlates with harder reading — splitting a few 40-word sentences usually helps more than swapping vocabulary. And the frequency table reveals habits: if “just,” “very,” or “really” dominate, you’ve found your filler words. Use these numbers as revision prompts, not as scores to maximize.
Use Cases
- Blogging and SEO: Hit target word counts and set accurate “minutes read” labels
- Speechwriting: Convert a script into realistic delivery time before an event
- Editing: Spot repetition and filler through the frequency analysis
- Translation and localization: Compare character counts across languages for layout planning
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Frequently Asked Questions
How is reading time calculated?
Reading time is calculated based on an average reading speed of 238 words per minute, which is the scientifically established average for silent reading in adults. Speaking time uses a slower rate of 130 words per minute, reflecting typical spoken delivery speeds.
What counts as a word?
Any sequence of letters, numbers, or apostrophes separated by whitespace or punctuation counts as a word. For example, "don't" is one word, and "well-known" is counted as two words. Hyphenated compounds are split at the hyphen.
Does it support multiple languages?
Yes. The analyzer uses Unicode-aware counting, so it works with CJK characters (Chinese, Japanese, Korean), Arabic, Cyrillic, and other scripts. Character and word counting adapts to the properties of the characters in your text.