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Count word frequency and find most used words in text.
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You might also like our Random Word Generator. Check out our Text to Handwriting. For related tasks, try our Markdown Editor.
Word frequency analysis counts occurrences of each word. Results are sorted by frequency, highest first.
Keyword density is the percentage each word occupies. High density for a keyword may signal keyword stuffing to search engines.
| Feature | Browser-Based (FastTool) | Word Processor | SaaS Writing Tool |
|---|---|---|---|
| Cost | Free, no limits | Plugin marketplace (varies) | Free tier + paid plans |
| Privacy | 100% local processing | Local file storage | Text sent to servers |
| Setup Time | 0 seconds | Editor + plugin install | Account creation |
| Features | Focused single-purpose | Integrated in editor | Full writing suite |
| Cross-Platform | Works everywhere | Editor-dependent | Browser-based but login |
| Offline Use | After initial page load | Full offline support | Requires internet |
Word frequency analysis is one of the foundational techniques in computational linguistics and text mining. George Kingsley Zipf formalized the observation (now called Zipf's Law) that in any natural language corpus, the frequency of a word is inversely proportional to its rank: the most common word occurs approximately twice as often as the second most common, three times as often as the third, and so on. In English, 'the' accounts for about 7% of all words, and the top 100 words cover roughly 50% of any text. This distribution holds across languages, time periods, and genres — a remarkably universal linguistic property.
Practical word frequency analysis involves several preprocessing decisions that significantly affect results. Should 'running' and 'runs' be counted as the same word? (Lemmatization says yes, reducing words to their base form.) Should common words like 'the,' 'is,' and 'of' be removed? (Stop word filtering says yes for topic analysis, no for stylometric analysis where function word patterns identify authors.) Should hyphenated words count as one or two? Should contractions be expanded? N-gram analysis (counting multi-word phrases) often reveals more meaningful patterns than single-word frequency — 'machine learning,' 'United States,' and 'New York' are more informative as phrases than as individual words. TF-IDF weighting, which penalizes words common across many documents, highlights terms that are distinctively important in a specific text.
Under the hood, Word Frequency Counter uses modern JavaScript to count word frequency and find most used words in text with capabilities including frequency table, sort by count, ignore common words option. The implementation follows web standards and best practices, using the DOM API for rendering, the Clipboard API for copy operations, and the Blob API for downloads. Processing is optimized for the browser environment, with results appearing in milliseconds for typical inputs. No server calls are made during operation — the tool is entirely self-contained.
The Oxford English Dictionary contains approximately 273,000 headwords, but the average adult uses only about 20,000-35,000 in daily life.
The passive voice is not inherently wrong — it is useful when the action matters more than the actor. But excessive use can make writing feel impersonal.
Part of the FastTool collection, Word Frequency Counter is a zero-cost writing tool that works in any modern browser. Count word frequency and find most used words in text. Capabilities like frequency table, sort by count, ignore common words option are available out of the box. Because it uses client-side JavaScript, your data stays private throughout the entire process.
Using Word Frequency Counter is straightforward. Open the tool page and you will see the input area ready for your data. Count word frequency and find most used words in text. The tool provides frequency table, sort by count, ignore common words option so you can customize the output to your needs. Once you have your result, use the copy or download button to save it. Everything runs in your browser — no server round-trips, no waiting.
Word Frequency Counter is designed mobile-first. The interface scales to fit phones, tablets, and desktops alike. Every feature is fully functional regardless of your device or operating system.
Yes, after the initial page load. Word Frequency Counter does not need a server to process your data, so going offline will not interrupt your workflow. Just make sure the page is fully loaded before disconnecting.
Three things set Word Frequency Counter apart: it is free with no limits, it processes data locally for full privacy, and it works on any device without installation. Most competing tools require accounts, charge for advanced features, or upload your data to their servers.
21 languages are supported, covering major world languages and several regional ones. The language selector is in the page header, and switching is instant. Your choice persists across sessions via local storage.
Craft social media posts with Word Frequency Counter — check character limits, format text, or generate variations of your copy.
Prepare business documents using Word Frequency Counter to ensure your text meets formatting and length requirements.
Fiction writers can use Word Frequency Counter to track word counts, organize chapters, or format manuscripts for submission.
Use Word Frequency Counter when writing newsletters to check length, format content, and ensure readability before sending.