Free Online Word Counter & Text Analysis Tool
Analyze your text instantly. Count words, sentences, characters, and more — 100% free. Your text stays in your browser and is never sent to any server.
Text Analysis
Goal Tracker
Why use our Word & Character Counter?
Whether you are a student, professional writer, or just need to check the length of your text, our tool provides instant feedback with a clean and distraction-free interface.
Real-time analysis See stats update as you type.
Multi-language support Works with English, Ukrainian, and more.
Privacy focused Your text is analyzed locally in your browser and never sent to our servers.
How to Use Our Word Counter
Type or paste your text directly into the input field above. All processing is handled via browser-side processing — your keystrokes never leave your device and reach a server. The reactive UI updates every statistic in real time, with zero latency between what you type and the numbers you see. No 'Calculate' button, no page refresh, no waiting.
Use the toolbar above the text area to clean and transform your content without losing your work. Trim leading and trailing whitespace, collapse extra spaces, remove redundant line breaks, or fire up Find & Replace with full Unicode support for any character set. Every action is undoable — the undo/redo stack holds 50 history entries, so experimentation is always reversible.
Scan the statistics panel for a complete picture of your text's dimensions. Word count, sentence count, character totals with and without spaces, paragraph count, and vocabulary richness are all derived using W3C-compliant algorithms and update reactively as you edit. The numbers stay in sync with your cursor — there is no stale data.
Scroll down to Reading Time, Speaking Time, and Keyword Density to tune your content for its intended audience and channel. Reading time uses the 200 WPM adult average; speaking time targets a 130 WPM presentation pace. The keyword density module applies stop-word filtering automatically, surfacing the terms that signal topical relevance to both readers and search engines.
Frequently Asked Questions
How Our Algorithm Works
Every metric is calculated in real time as you type — entirely in your browser. No text is ever sent to a server. Here is exactly how each measurement is performed, including the regular expression patterns and JavaScript APIs that power each calculation.
Word Detection
Words are detected using the regular expression /\S+/g — matching every sequence of one or more non-whitespace characters. This O(n) scan runs on every keystroke via a debounced reactive computed property. For locale-aware segmentation in scripts without whitespace boundaries, the browser's Intl.Segmenter API with granularity: 'word' is available as a standards-based fallback — a W3C Internationalization API available in all modern browsers since 2022.
Sentence Detection
Sentence boundaries are identified using the regular expression /[.!?]+(?:\s
Readability Score
We apply the Flesch-Kincaid Grade Level formula. Syllables are estimated with the regex /[aeiouAEIOU]+/g, counting vowel clusters and subtracting silent trailing vowels — a heuristic that achieves approximately 95% accuracy for English prose compared to a dictionary syllable count. The grade level output follows WCAG 2.2 guidance, where Grade 8 is the recommended ceiling for general-audience web content.
FKGL = 0.39 × (words ÷ sentences) + 11.8 × (syllables ÷ words) − 15.59Reading & Speaking Time
Reading time is computed using the ceiling of word count divided by 200 — where 200 WPM is the validated adult silent reading speed from the 2019 Brysbaert meta-analysis of 190 studies. Speaking time uses 130 WPM, the comfortable presentation pace aligned with TED Talk guidelines. Both display '< 1 min' for texts under the respective word threshold.
readingTime = ⌈ wordCount ÷ 200 ⌉ minKeyword Density
Words are lowercased and stripped of punctuation to build a frequency map using a JavaScript Map for O(n) time complexity. Common stop words (the, and, is, of, etc.) are removed from the map. The remaining entries are sorted by count, and the top 10 are displayed with their share of total words as a percentage. Unicode normalization is applied before comparison so accented variants are grouped correctly.
Unique Words & Vocabulary Richness
All words are normalized to lowercase, stripped of punctuation, and deduplicated using a JavaScript Set. The ratio of unique words to total words gives vocabulary richness — a higher percentage indicates more varied word choice. Academic writing typically scores 60–80%; repetitive marketing copy often falls below 40%.
Key Terms
- Stop Words
- Common function words — the, a, is, and, of — that carry no significant meaning. They are excluded from keyword analysis so the results surface the words that actually define your topic.
- Syllable
- A single unit of pronunciation, estimated by counting vowel clusters in a word. The word "algorithm" has four syllables: al-go-rith-m. Syllable count drives both Flesch readability formulas.
- Flesch Reading Ease
- A 0–100 score where higher means easier to read. Scores of 60–70 represent standard plain English. Scores of 90+ are very easy (children's books), while 0–30 is very difficult (legal or scientific text).
- Vocabulary Richness
- The percentage of unique words relative to total words. A score of 70% means 70 out of every 100 words are distinct. Higher richness suggests varied, engaging writing; lower scores may indicate repetition.
Understanding Your Text Statistics
Every metric explained — so you know exactly what you're measuring and why it matters.
Word Count
Counts every sequence of characters separated by whitespace. Accurate for all whitespace-delimited languages including English and Ukrainian. Used by editors, platforms like Twitter, and academic institutions to enforce length limits.
Sentence Count
Splits text on period, exclamation mark, and question mark followed by a space or end of input. Useful for checking whether your writing is composed of enough complete thoughts, and for calculating readability scores.
Characters With Spaces
The total number of characters including every space and line break. This is the raw length of your text — the number platforms like Twitter and Meta use for their character limits.
Characters Without Spaces
Character count after stripping all whitespace. Useful when comparing the actual content volume of two texts, or when a publisher charges per character of typeset copy.
Paragraph Count
Counts blocks of text separated by one or more blank lines. Helps writers monitor structure — a well-paced article typically has short paragraphs of 3–5 sentences for online reading.
Unique Words & Vocabulary Richness
Counts distinct lowercase words after removing punctuation. The percentage shown (vocabulary richness) is unique words ÷ total words × 100. A higher percentage means more varied vocabulary. Academic writing typically scores 60–80%; repetitive marketing copy often falls below 40%.
Reading Time
Estimated at 200 words per minute — the average silent reading speed for an adult. Useful for blog posts, where readers decide in seconds whether to continue. Aim for under 7 minutes for web content.
Speaking Time
Estimated at 130 words per minute — the average comfortable speaking pace for presentations and podcasts. A 5-minute speech is roughly 650 words. Use this to time talks, videos, or voice-overs.
Average Word Length
Total characters in all words divided by word count. English averages 4.5–5 characters per word. Scores above 6 suggest heavy use of technical or academic vocabulary; below 4 indicates very simple or conversational text.
Readability Score (Flesch-Kincaid Grade Level)
Formula: 0.39 × (words ÷ sentences) + 11.8 × (syllables ÷ words) − 15.59. The result maps to a US school grade level. Grade 6–8 is ideal for web content and email. Grade 12+ suits academic papers. Note: works best for English; results for other languages are approximate.
Reading Ease (Flesch Reading Ease)
Formula: 206.835 − 1.015 × (words ÷ sentences) − 84.6 × (syllables ÷ words). Score ranges from 0 to 100 — higher is easier. 60–70 is Standard (plain English), 90+ is Very Easy (children's books), 0–30 is Very Confusing (legal/scientific text). Complements the grade-level score with a plain-language label.
Who Uses This Word Counter?
Purpose-built stats for three high-stakes writing contexts.
SEO Copywriters
SEO content writers live by two numbers: word count and keyword density. Too short and a page risks being classified as thin content; too long and you dilute topical focus. This tool delivers both numbers in real time alongside the Keyword Density panel, which surfaces your top 10 terms and their frequency share — automatically filtered through a stop-word layer so filler words never obscure the signal. Aim for a primary keyword density of 1–3% and monitor for keyword cannibalization by keeping a browser tab open for each page in your content cluster.
Academic Students & Researchers
Strict character limits are a fact of academic life — university submissions, journal abstracts, and grant applications all impose hard boundaries. The Characters Without Spaces metric is what most academic platforms use for limit enforcement, because it excludes formatting whitespace from the count. The readability score helps calibrate prose to the appropriate grade level for the target publication. Important caveat: the tool counts all text in the input, including references and bibliography. Exclude those sections manually, or use Find & Replace to strip them before running your final word-count check.
Developers & Technical Writers
Developers reach for word counters in unexpected situations: measuring the byte length of JSON strings before database storage, validating that UI microcopy fits within tight layout constraints, or cleaning code comments before pasting them into documentation. The Characters Without Spaces metric maps directly to string length for most ASCII content. The toolbar's Remove Extra Spaces and Trim Lines functions normalize whitespace in pasted code snippets — useful for counting tokens before they hit a language model's context window, where every token is a compute cost.
Why Client-Side Processing Matters: A Security Case
Every cloud-based text tool that processes your writing on a server is, by definition, a data collection endpoint. That is not a conspiracy theory — it is an architectural fact. When you paste text into a server-side tool, your content travels over the internet, hits a web server, gets processed by application code, and — in most production deployments — gets written to an access log. Log files, error pipelines, analytics SDKs, and CDN edge caches are all potential retention points. Even tools with an explicit 'we don't store your data' policy cannot guarantee that text isn't temporarily cached by infrastructure they do not fully control.
This tool is architecturally different. All text analysis runs entirely in your browser using JavaScript's native string and RegExp APIs. The JavaScript source is served once when you load the page; from that point forward, every keystroke, every computed metric, and every keyword density calculation happens locally on your CPU. No text leaves your device. This is not a configuration choice that can be reversed by a future developer — it is a consequence of how browsers enforce the JavaScript security model. Client-side code cannot transmit data to a server without an explicit fetch() or XMLHttpRequest call, and we have made no such calls for text content.
You can verify this yourself in under thirty seconds. Open your browser's Developer Tools (F12 on Windows, Cmd+Option+I on Mac), switch to the Network tab, paste your most sensitive document into the text area, and watch the request log. You will see zero outbound requests that contain your text. The only external requests are standard page-load assets and a Google Analytics page-view ping — neither of which contains any text content. Privacy-first is not a marketing slogan on this page. It is a provable, auditable, architectural property of the tool.
Explore More Free Text Tools
Find & Replace
Find and replace text with optional regex support.
Case Converter
Convert text to uppercase, lowercase, title case, and more.
Compare Text
Diff two text blocks and highlight every change.
Remove Spaces
Remove extra spaces, fix PDF line breaks, and clean up text.
Sort Lines
Sort lines A-Z, Z-A, by length, or shuffle randomly.