About the Word Frequency Counter
The Word Frequency Counter scans a block of text and reports how many total words it contains, how many of those words are unique, and which ten words appear most often. It's built for anyone who needs a quick read on repetition in a piece of writing, from checking whether an essay overuses a phrase to spotting the dominant terms in a batch of customer feedback.
How It Works
The tool lowercases the text and extracts every run of letters and apostrophes as a word, so numbers and most punctuation act as word boundaries while contractions like don't stay intact as a single token. It tallies how many times each distinct word appears, sorts those tallies from highest to lowest, and displays the top ten in a table alongside the overall total word count and unique word count.
Examples
Default Sample Sentence
For the text 'the quick brown fox jumps over the lazy dog the fox runs', the calculator finds 12 total words and 9 unique words, with the appearing 3 times and fox appearing 2 times at the top of the table.
Customer Feedback Snippet
Pasting 'great service, fast delivery, great price, will buy again, great product' returns great as the top word with 3 occurrences, out of 11 total words and 9 unique words in the passage.
Advantages
- Surfaces repetition in writing that's easy to miss when reading through a long passage manually.
- Distinguishes total word count from unique word count in one pass, useful for gauging vocabulary variety.
- Works on any pasted text with no setup, from essays and articles to survey responses and chat logs.
Common Mistakes
- Assuming the top-ten list represents a text's core themes without accounting for unfiltered common words like and, to, and the crowding out more meaningful terms.
- Comparing frequency counts across texts of very different lengths without normalizing for total word count first.
- Expecting hyphenated or numeric terms to be tallied as single tokens, when the tool actually splits on anything that isn't a letter or apostrophe.
Edge Cases to Watch For
- No stop-word filtering is applied, so common function words like the and a will typically dominate the top-ten list in ordinary prose rather than more meaningful topic words.
- Only the top 10 words appear in the table, even though the Total Words and Unique Words figures reflect the entire text you entered.
- Numbers and most punctuation are stripped out entirely since the matching pattern only captures letters and apostrophes, so a term like 2026-report would be split apart and the digits and hyphen dropped.
- Entering text with no recognizable words returns an error asking for text to analyze instead of a zero-count result.
Common Use Cases
- Writers and editors checking for overused words or phrases in a draft.
- Marketers or researchers scanning customer reviews or survey responses for recurring terms.
- Students or content writers gauging keyword repetition within a piece of writing.