How to Count Words, Analyze Frequency, and Find Duplicates Online
To analyze your text, paste or type your content into the Input Text area and select one of three analysis panels from the buttons at the top. The Statistics panel displays comprehensive text metrics in a grid of cards: total sentences, words, characters (with and without spaces), paragraphs, and lines are counted automatically in real-time. It also calculates average word length, average sentence length (in words), and estimates reading time based on a standard 200 words per minute pace. All statistics update instantly as you type, making it perfect for writers checking word count requirements, students meeting essay length targets, or content creators optimizing for reading time.
The Duplicate Words panel finds all words that appear more than once in your text and displays them sorted by frequency. Toggle the Case Sensitive checkbox to control whether 'Hello' and 'hello' are treated as the same word or different words. Each duplicate word shows its occurrence count, and you can export the full list as a CSV file for further analysis or reporting. The Word Frequency panel shows the most common words in your text, with options to show the top 10, 20, or 50 words, sort by frequency or alphabetically, and optionally exclude common stop words (a, the, is, and, etc.) to focus on meaningful content words. This is especially useful for analyzing keyword density, identifying overused words in your writing, or understanding the vocabulary distribution in any text. Click the Export as CSV button to download the frequency table for use in spreadsheets, reports, or word cloud generators.
Why Use This Free Online Word Counter & Text Analyzer?
- Three powerful analysis modes in one tool — statistics, duplicate finder, and word frequency all in one place
- Real-time statistics that update instantly as you type — no need to click a Calculate button
- Comprehensive text metrics including sentences, words, characters, paragraphs, lines, and averages
- Reading time estimation based on industry-standard 200 WPM for planning content consumption
- Smart duplicate word detection with case-sensitive and case-insensitive options
- Word frequency analysis with configurable top N, stop word filtering, and alphabetical or frequency sorting
- CSV export functionality for both duplicates and word frequency — integrate with spreadsheets and data analysis tools
- 100% browser-based and private — your text never leaves your device or touches any server
Frequently Asked Questions
How does the tool count sentences, and what punctuation marks are recognized?
The sentence counter splits text by sentence-ending punctuation marks: period (.), exclamation mark (!), and question mark (?). Each segment that contains at least one non-whitespace character is counted as a sentence. This means 'Hello. World! How are you?' counts as 3 sentences. Multi-sentence paragraphs are split correctly, and sentences ending with abbreviations (like Dr. or U.S.) may be over-counted if the period is treated as a sentence boundary — this is a limitation of simple pattern-based detection, as noted in the Unicode Text Segmentation standard which defines more complex sentence boundary rules. For most natural text, the count is accurate. Empty lines, lines with only whitespace, or trailing punctuation without content are not counted as sentences.
What's the difference between the Duplicate Words panel and Word Frequency panel?
The Duplicate Words panel shows only words that appear more than once in your text, sorted by frequency in descending order. It's designed to help you identify repetitive language or overused words at a glance — useful for editing, proofreading, or improving writing variety. The Word Frequency panel, on the other hand, shows all words (or the top N most common) including words that appear only once, and gives you control over filtering (stop words), sorting (by frequency or alphabetically), and the number of results displayed (10, 20, or 50). Word Frequency is better for vocabulary analysis, keyword density checks, or preparing data for word clouds. If you just want to spot repetition, use Duplicates; if you want a full word usage breakdown, use Frequency.
What are stop words and should I exclude them in the Word Frequency analysis?
Stop words are extremely common words that appear frequently in almost all English text but carry little unique meaning on their own — words like 'a', 'the', 'is', 'and', 'of', 'to', 'in', 'for', 'it', 'with', and similar function words. The concept of stop words was introduced by Hans Peter Luhn in his pioneering 1960 work on automatic indexing at IBM. Excluding stop words is useful when you want to focus on the meaningful content words — nouns, verbs, adjectives, and domain-specific terms — rather than grammatical glue. For example, in a blog post about 'machine learning', excluding stop words would highlight 'machine', 'learning', 'model', 'data', 'training' instead of 'the', 'is', 'and'. If you're analyzing keyword density for SEO, checking vocabulary richness, or preparing text for a word cloud, enabling the stop word filter gives clearer, more actionable results. Leave it off if you want raw, unfiltered frequency data.
How is reading time calculated, and can I adjust the words-per-minute rate?
Reading time is calculated by dividing the total word count by 200, which is the widely accepted average reading speed for English text among adults. The result is rounded up to the nearest minute. For example, a 450-word article would show 3 minutes of reading time (450 ÷ 200 = 2.25, rounded up to 3). This estimate assumes silent reading of moderately complex prose — fiction, blog posts, news articles, and documentation. Technical writing, academic papers, or text in unfamiliar languages may take longer, while simple content or skimming may be faster. Currently the tool uses a fixed 200 WPM rate and does not support customization, but this rate is the industry standard used by Medium, Substack, and most content management systems.
Is my text safe and private when using this analyzer?
Yes. This text analyzer runs entirely in your browser using client-side JavaScript — no network request is made with your input text at any point. Your content is never uploaded to any server, never stored in any database, and never logged or analyzed by any third party. You can safely analyze sensitive documents like confidential reports, private notes, unreleased manuscripts, legal contracts, or any other private text. All word counting, frequency analysis, and duplicate detection happens locally on your device using JavaScript string and array methods. When you close or refresh the page, all input and analysis results are immediately cleared from browser memory. For extra privacy assurance, the tool works offline — once the page loads, you can disconnect from the internet and continue analyzing text.
How does the word count compare to Microsoft Word or Google Docs?
Word counting algorithms vary slightly between tools. This analyzer counts words by splitting text on whitespace boundaries (spaces, tabs, newlines) and filtering out empty segments, which matches the approach used by most plain-text editors. Microsoft Word and Google Docs use similar whitespace-based splitting but may handle edge cases differently — for example, hyphenated compounds like 'well-known' may be counted as one or two words depending on the tool. Numbers, URLs, and email addresses are each counted as one word. For standard prose — essays, articles, blog posts, and reports — the word count from this tool will match Word and Google Docs within 1-2%. The character count (with and without spaces) is exact and matches all editors precisely, as it simply counts Unicode code points in the input string.
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