Word & Character Counter

Count words, characters, sentences, paragraphs, and estimate reading & speaking time — live, in your browser.

Your Text
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Characters
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Sentences
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Read Time
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Speak Time
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Frequently Asked Questions

Reading time is estimated at 200–238 words per minute — the average silent reading speed for an adult. This tool uses 238 wpm (a commonly cited research figure). The result is rounded up to the nearest minute for counts above 60 seconds.
A word is any sequence of non-whitespace characters. This matches how most word processors count: hyphenated words like well-being count as one word, and contractions like don't also count as one word.
Sentences are counted by splitting text on ., !, and ? followed by a space or end of string, then filtering out empty results. Abbreviations and decimal numbers may slightly affect the count.
No. All counting happens entirely in your browser using JavaScript. Your text never leaves your device.
Characters with spaces counts every character in the text, including spaces, tabs, and newlines. Characters without spaces counts only non-whitespace characters. Publishers and social platforms like Twitter count all characters including spaces, while some academic style guides measure content length without spaces.
Keyword density is the number of times a keyword appears divided by the total word count, expressed as a percentage. For example, if "SEO" appears 5 times in a 500-word article, the density is 1%. SEO practitioners generally aim for 1–2% — high enough to signal relevance without looking like keyword stuffing.
Average word length is calculated by dividing the total number of non-space characters by the total number of words. In English, the average word length is approximately 4.5–5 characters. Technical or academic writing tends to have longer average word lengths, while conversational or children's content runs shorter.
Reading level formulas like the Flesch-Kincaid Grade Level or Flesch Reading Ease score estimate how difficult text is to read. They use factors like average sentence length and average syllables per word. A score of 60–70 on the Flesch Reading Ease scale is considered standard for general-audience content.
Paragraphs are counted by splitting text on blank lines (two or more consecutive newlines) and filtering out empty segments. A paragraph is any block of text separated from another by at least one blank line. Single line breaks within a paragraph are not counted as paragraph separators.
The average conversational speaking speed is 125–150 words per minute (wpm). Public speakers and podcasters often target 130–150 wpm for clarity. Auctioneers and speed-talkers can reach 250–400 wpm, while slow, deliberate speech falls below 100 wpm. This tool uses 130 wpm as the speaking time estimate.

About This Word & Character Counter

This free word and character counter instantly counts words, characters (with and without spaces), sentences, paragraphs, and estimated reading time for any text. Paste or type in the input area to see live results update as you type.

Word count matters for academic assignments, blog posts, and content briefs. Character count is critical for meta descriptions, social media posts, and SMS. This tool provides all counts in one place without requiring a full document editor.

When to use this tool

  • Checking essay or assignment word count against a requirement
  • Keeping a meta description or tweet within its character limit
  • Estimating reading time for a blog post or article
  • Counting paragraphs and sentences for a readability audit

Standards & References

Related Articles

In-depth guides and technical articles.

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The "238 wpm" Average Reading Speed Describes No One Precisely — What Reading Time Estimates Actually Mean
The 238 wpm reading speed used in "8 minute read" estimates comes from a 2019 meta-analysis of college students reading non-fiction prose — it doesn't apply to technical documentation (75-150 wpm), fiction (300-400 wpm), or scanning (700+ wpm). Here's the speed-comprehension trade-off that makes speed reading programs ineffective, how Medium adjusts reading time for images, and why word count reading time estimates are calibrated for English and overestimate reading speed for German while underestimating it for Chinese characters.
Word Count Isn't a Ranking Factor — Here's What Competitor Word Count Analysis Is Actually For
"Write 2,000+ words to rank" is confident, specific advice with weak evidence — longer pages rank well because comprehensive answers to complex questions require more words, not because length itself is a ranking signal. Here's how to actually use competitor word count data (look at the range, understand why longer pages are longer), why word count is a useful writing discipline tool in academic and professional contexts, and when character count matters more than word count.
Translation Text Expansion: Why German Runs Longer, Chinese Runs Shorter, and Your Layout Needs to Survive Both
A 1,000-word English document becomes roughly 1,300 words in German and roughly 700 words in Chinese — predictable averages that matter enormously for UI layout and print/subtitle budgeting, but can deviate wildly for short strings. Here's the commonly-cited expansion ratios by language, why pseudo-localization testing catches layout issues before translation even begins, and how expansion affects print page counts and video subtitling/dubbing differently than per-word translation costs.
Writing for Word Count: Academic Essays, SEO Content Length, Social Media Limits, and Ad Copy
Academic essays need minimum words to develop an argument; SEO content length correlates with quality but isn't a direct ranking factor; Twitter's 280-char limit shapes writing style; Google Ads allows 30 characters per headline. Here's word count requirements across contexts and why they exist.
Readability Scores Explained: What Flesch-Kincaid Measures — and What It Misses
Readability scores measure sentence length and syllable count — not vocabulary familiarity, coherence, or domain knowledge. Here's how Flesch-Kincaid, Gunning Fog, and SMOG actually work, what they miss, and when they're genuinely useful as diagnostic tools.