Free Online Word Counter

Count words, characters, paragraphs, sentences, and syllables instantly. Analyze keyword density and convert text cases natively in your browser sandbox. No data leaves your device.

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Characters
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Sentences
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Paragraphs
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Reading Time

Readability Scores

Flesch Reading Ease Score: 0.00

Type at least 1 sentence to analyze Flesch-Kincaid structural accessibility indexes.

Keyword Density (Top 5)

  • Paste text to analyze frequency...

How to Use the Online Word Counter

Analyzing the linguistic properties and keywords of your content is simple:

1

Input Content

Type or paste your text directly into the main workspace editor card.

2

Analyze Metrics

View real-time metric updates, readability scores, and stopword-filtered keyword counts.

3

Convert & Export

Optionally modify uppercase and lowercase text cases, and download as a TXT file.

Why Choose Our Word Counter?

Instant Calculations

Linguistic scores calculate in milliseconds natively using regular expression patterns.

Local Sandbox Processing

Text structures are processed strictly locally — 100% secure.

Linguistic Readability

Measures Flesch Reading Ease scores dynamically as you type.

Free Forever

No subscription, no watermark banners, no limits.

Case Conversions

Change between UPPERCASE, lowercase, and Title Case instantly.

Responsive Layouts

Engineered for high performance on both mobile and desktop viewports.

The Lexical Mathematics of Word and Sentence Boundaries

Analyzing text properties requires precise algorithms to identify where words, sentences, and syllables begin and end. Simply counting spaces is not enough, as it fails to handle non-breaking spaces, punctuation, and Unicode characters. To understand how we measure text metrics, it is useful to look at the underlying mathematics and algorithms:

1. Regular Expression Boundary Mapping

To identify words accurately, the counting engine uses regular expressions to find Unicode-compliant alphanumeric sequences while ignoring standalone punctuation marks:

Words_Match = text.match(/\b\w+\b/g)

Sentence boundaries are identified similarly by looking for ending punctuation (periods, exclamation points, question marks) followed by spaces or uppercase characters, avoiding false positives from abbreviations (like `e.g.`, `Dr.`, or `approx.`):

Sentences_Match = text.split(/[.!?]+(?=\s|$)/)

2. Flesch Reading Ease Readability Score

The **Flesch Reading Ease** index measures document readability using a standard formula:

Score = 206.835 - (1.015 * ASL) - (84.6 * ASW)

Where:

Flesch Score Range Linguistic Accessibility Level Equivalent Education Grade Recommended Target Audience
90 - 100 Very Easy to Read 5th Grade Conversational web copy, clear documentation.
60 - 70 Standard / Plain English 8th - 9th Grade General audience articles, blogs, and essays.
30 - 50 Difficult / Academic College Graduate Scientific papers, technical spec sheets, legal briefs.

How Text Optimization and Density Enhances Search Visibility (SEO)

Writing high-quality content requires a careful balance between natural reading flow and search engine optimization guidelines:

External References: Read the official W3C Word Boundaries Documentation, study the Linguistic Reference Guides, or check web accessibility parameters via Google Developers.

Frequently Asked Questions

How does the real-time keyword density analyzer work?

The analyzer scans your text and filters out common English stopwords (such as `the, and, of, to, in, are`). It then calculates the frequency of the remaining unique words and displays the top 5 keywords along with their percentage density relative to the total word count.

What is Flesch Reading Ease?

The Flesch Reading Ease score measures how easy a text is to read. Higher scores (60-70+) indicate standard, clear English that is accessible to most readers, while lower scores indicate complex, technical, or academic writing.

Are my text entries secure and private?

Yes, absolutely. All text processing, case conversions, and linguistic calculations are handled locally on your device within your browser sandbox, so your entries are never sent to external servers.

How does the tool calculate estimated reading and speaking times?

Reading time is calculated using an average silent reading speed of **200 words per minute (wpm)**. Speaking time is calculated using an average verbal speed of **130 words per minute (wpm)**, which is the standard speed for presentations and speeches.

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