Count words, characters, sentences, and paragraphs in real time. Get reading and speaking time estimates, keyword density analysis, and readability scores. Everything runs locally in your browser.
A word counter is a tool that takes a block of text and returns a set of statistics about it: word count, character count, sentence count, paragraph count, and often additional metrics like reading time and readability. Writers, students, editors, and marketers all rely on word counters for different reasons, but the underlying function is the same: measure the text.
This tool goes beyond basic counting. It analyzes keyword density so you can see which terms appear most frequently, calculates two standard readability formulas (Flesch Reading Ease and Flesch-Kincaid Grade Level), estimates reading and speaking time, and supports character or word limits with visual progress tracking. Everything updates as you type.
All processing happens in your browser. No text is transmitted to any server, no accounts are required, and nothing is logged. The tool works equally well on a phone, tablet, or desktop.
Word count requirements exist across nearly every form of writing. College essays have target lengths set by professors. Journal articles must fit within publisher limits. Blog posts perform best within certain ranges for search engines. Ad copy platforms impose character limits. Social media bios cap at specific numbers. Understanding how long your text is lets you plan, edit, and comply with requirements.
Beyond compliance, word count serves as a rough proxy for reading time. A 1,000-word article takes about 4 minutes to read at the average adult reading speed of 238 words per minute. A 3,000-word guide takes about 13 minutes. Knowing these numbers helps you set reader expectations and match content length to audience attention spans.
Character count matters in different contexts. Tweet length, meta descriptions for SEO (recommended 150-160 characters), SMS messages (160 characters), and push notifications all have character-based limits. The stats bar above shows both character count (with spaces) and character count (without spaces) because different platforms define "character" differently.
Readability formulas estimate how difficult a text is to read based on measurable properties: sentence length and word complexity (approximated by syllable count). They do not evaluate content quality, accuracy, or style. Two texts with identical readability scores can differ enormously in how engaging or useful they are.
The Flesch Reading Ease score ranges from 0 to 100. Higher scores mean easier text. A score of 60-70 corresponds to standard reading level, suitable for most audiences. Scores above 70 are considered easy to read. Below 30 indicates very difficult academic or legal writing. Most popular web content scores between 60 and 80.
The Flesch-Kincaid Grade Level translates the same inputs into a US school grade level. A score of 8 means an average eighth grader should be able to understand the text. Most general-audience writing targets grade 7-9. Technical documentation often lands at grade 12 or higher. Lower is not always better; it depends on your audience.
Both formulas use the same two variables: average sentence length (words per sentence) and average syllable count per word. To improve readability scores, shorten sentences and choose simpler words where possible. Replacing "utilize" with "use" or "approximately" with "about" nudges the score upward without changing meaning.
Keyword density is the percentage of times a specific word or phrase appears relative to the total word count. If a 500-word article contains the phrase "project management" 5 times, the density for that phrase is 1%.
In the early days of search engine optimization, stuffing a page with keywords was a viable strategy. Modern search engines penalize this. There is no universally agreed "ideal" keyword density, but most SEO practitioners target 1-2% for primary keywords and use related terms naturally throughout the text. The keyword density panel on this page helps you check whether you are overusing or underusing specific terms.
The n-gram toggle (1-word, 2-word, 3-word phrases) lets you analyze at different levels. Single-word analysis shows which individual terms dominate. Two-word and three-word phrase analysis reveals recurring multi-word expressions, which are often more relevant to SEO because search queries frequently contain multiple words.
Stop words (the, is, and, of, to, etc.) are excluded from the keyword analysis because they appear in every text and carry no topical signal. The tool filters them automatically so you see only content-bearing words.
| Format | Typical Length | Approx. Reading Time |
|---|---|---|
| Tweet / X post | 280 characters | 2-3 seconds |
| Meta description | 150-160 characters | 3-4 seconds |
| Email subject line | 40-60 characters | 1-2 seconds |
| Short blog post | 600-800 words | 2-3 minutes |
| Standard blog post | 1,200-1,800 words | 5-8 minutes |
| Long-form article | 2,500-4,000 words | 10-17 minutes |
| College essay | 500-2,500 words | 2-10 minutes |
| White paper | 3,000-6,000 words | 12-25 minutes |
| Novel chapter | 3,000-5,000 words | 12-21 minutes |
These are guidelines, not rules. The right length for any piece of writing is the length it needs to cover the topic thoroughly without padding or leaving gaps. Use the page estimate (250 words per page, standard double-spaced format) when you need to convert between word counts and physical pages.
The tool splits the text on whitespace boundaries (spaces, tabs, line breaks) and counts the resulting segments, filtering out empty strings. Hyphenated words like "well-known" count as a single word. Numbers and abbreviations count as words. This matches the behavior of standard word processors like Microsoft Word and Google Docs.
Reading time uses 238 words per minute, which is the average silent reading speed for adults reading English text, based on a 2019 meta-analysis by Brysbaert. Speaking time uses 150 words per minute, which reflects a comfortable presentation pace. Actual speeds vary by individual and by text complexity.
The tool uses a heuristic algorithm that counts vowel groups (consecutive vowels count as one syllable), subtracts one for silent trailing "e" endings, and enforces a minimum of one syllable per word. This approach is not 100% accurate for every English word (English spelling is inconsistent), but it produces reliable readability scores that closely match those from established tools.
The tool excludes the most common English function words: articles (the, a, an), prepositions (in, on, at, to, for, with, from, by, of), conjunctions (and, but, or, nor, so, yet), pronouns (I, you, he, she, it, we, they, this, that), and common verbs (is, are, was, were, be, been, have, has, had, do, does, did, will, would, can, could, should, may, might). About 175 words are filtered.
Yes. Use the Limit dropdown above the toolbar to select "Words" or "Characters," then enter your target number. A progress bar appears showing how much of your limit you have used. The bar turns yellow at 90% and red when you exceed the limit. The remaining count updates in real time as you type.
No. All processing happens entirely in your web browser using JavaScript. No data is transmitted to any server, no information is stored in cookies or local storage, and no analytics track your input. You can verify this by opening your browser's developer tools and monitoring the Network tab while using the tool. Your text never leaves your device.