Counting & analysis · 7 tools
Counting & analysis tools
Measure before you edit. These 7 tools give you the numbers that matter for web writing: character/word counts against Twitter, Google, and LinkedIn limits; Flesch-Kincaid readability; paragraph length distribution; content similarity (Jaccard index). All calculations run in your browser with no data leaving the page.
Counting & analysis
Word Count
Words, chars, reading time
Counting & analysis
Sentence Counter
Avg words per sentence
Counting & analysis
Character Counter
Twitter, LinkedIn & meta limits
Counting & analysis
Word Frequency
Rank every word by count
Counting & analysis
Readability Checker
Flesch-Kincaid score
Counting & analysis
Paragraph Length Checker
Flag overly long paragraphs
Counting & analysis
Content Similarity
Duplicate content % between two texts
About these tools
Counting & analysis questions
- How accurate is the Flesch-Kincaid readability score?
- The formula was developed for the U.S. Navy in 1975 and has been validated against reading-comprehension tests for 50 years. It's accurate to within ±1 grade level for English prose between 8th-grade and college-senior. It's less reliable for highly technical content (skews easy because of short technical terms) or heavy dialogue (skews hard because of contractions). Our Readability Checker reports both the raw score and the grade equivalent.
- What's the difference between "words" and "characters with spaces"?
- Words = space/punctuation-separated tokens; a hyphenated compound ("state-of-the-art") counts as 1 word. Characters with spaces = the raw string length including whitespace; this is what Twitter, meta descriptions, and title tags count. For SEO title tags Google uses pixel width, not character count — use our Title Pixel Checker for that.
- Why do two different tools give slightly different word counts?
- Word boundary rules vary. Microsoft Word counts some hyphenated compounds as 2 words while Google Docs counts them as 1. Our tools use Unicode-compliant word segmentation (Intl.Segmenter where available, regex fallback) which matches Google Docs' behavior. Differences are typically within 1-2% on natural prose.
- What reading time calculation do you use?
- We use 238 words per minute (the median silent reading rate from Brysbaert 2019's meta-analysis of 190 studies). Medium and Pocket use 265 wpm, which assumes skimming. 238 wpm is conservative and more accurate for dense content. Adjust mentally: technical content reads at ~150 wpm, light narrative at ~280 wpm.
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