All tools Word Frequency Counter ● Live Data Tools

How Word Frequency Counter works

  1. Paste your text — an article draft, transcript, or content page — into the input box.
  2. The tool automatically lowercases the text and counts each distinct word.
  3. Review the output, sorted by frequency with the most repeated words first.
  4. Copy the results as word,count pairs for use in a spreadsheet or content review.
  • Check keyword density in an SEO draft before publishing to catch accidental overuse.
  • Spot repetitive language in a long-form article or email during self-editing.
  • Analyze a transcript to see which terms come up most often in a conversation or interview.
  • Compare word frequency between draft revisions to confirm overused phrases were trimmed.

Text is analyzed entirely in your browser's memory using JavaScript. Nothing is uploaded or stored.

  • Doesn't filter out stop words (the, and, of, etc.), so common function words will dominate the top of the list.
  • Word matching is limited to ASCII letters, digits, and apostrophes — accented characters and non-Latin scripts aren't handled correctly.
  • Counts individual words only; it doesn't detect repeated multi-word phrases or n-grams.

Word Frequency Counter

Word Frequency Counter analyzes pasted text and returns a sorted frequency table. Use it for SEO drafts, content cleanup, keyword checks, and writing analysis.

Word Frequency Counter Runs locally

Word Frequency Counter

Count repeated words and export frequency data from pasted text. Everything runs locally in this tab.

Output
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Guide

How to use

  1. Paste your text — an article draft, transcript, or content page — into the input box.

  2. The tool automatically lowercases the text and counts each distinct word.

  3. Review the output, sorted by frequency with the most repeated words first.

  4. Copy the results as word,count pairs for use in a spreadsheet or content review.

Scenarios

Use cases

  • Check keyword density in an SEO draft before publishing to catch accidental overuse.

  • Spot repetitive language in a long-form article or email during self-editing.

  • Analyze a transcript to see which terms come up most often in a conversation or interview.

  • Compare word frequency between draft revisions to confirm overused phrases were trimmed.

Good to know

Limitations & Privacy

Private by design

Text is analyzed entirely in your browser's memory using JavaScript. Nothing is uploaded or stored.

  • Doesn't filter out stop words (the, and, of, etc.), so common function words will dominate the top of the list.

  • Word matching is limited to ASCII letters, digits, and apostrophes — accented characters and non-Latin scripts aren't handled correctly.

  • Counts individual words only; it doesn't detect repeated multi-word phrases or n-grams.

FAQ

Frequently asked questions

Is Word Frequency Counter free to use?

Yes. The tool is free and runs directly in your browser with no account required.

Does this tool upload my data?

No. Text analysis happens locally in the browser tab and is not sent to a server.

What is this tool best for?

Spotting which words repeat most often in a draft — useful for catching keyword stuffing, overused phrases, or checking keyword density in SEO content.

How is 'word' defined for counting purposes?

The tool lowercases the text and matches sequences of letters, numbers, and apostrophes (so 'don't' counts as one word). Punctuation and whitespace are treated as separators.

Does it remove common stop words like 'the' and 'and'?

No — this counter includes every word, including common stop words. You'll need to scan past high-frequency function words to find the meaningful repeats.

How is the output sorted?

Results are sorted by frequency descending, and alphabetically for words that tie in count, output as 'word,count' lines.

Can I export the results as CSV?

The output format (word,count per line) is already CSV-compatible — copy it and paste into a spreadsheet, or save it with a .csv extension.

Does it handle non-English text?

The word-matching pattern is limited to a-z, 0-9, and apostrophes, so accented characters or non-Latin scripts (é, ñ, characters from other alphabets) won't be captured correctly.