Count how often every word appears in your text, ranked in a frequency table with an optional stop-word filter and a downloadable CSV of the results. Runs entirely in your browser — your numbers never leave this device.
| Word | Count |
|---|---|
| the | 5 |
| fox | 3 |
| dog | 2 |
| was | 2 |
| a | 1 |
| all | 1 |
| amused | 1 |
| brown | 1 |
| but | 1 |
| considered | 1 |
| day | 1 |
| for | 1 |
| good | 1 |
| it | 1 |
| jumps | 1 |
| lazy | 1 |
| not | 1 |
| on | 1 |
| over | 1 |
| quick | 1 |
| ran | 1 |
| things | 1 |
| very | 1 |
Paste your text and the counter tokenises it the same way the Word Counter does — runs of letters or numbers, with internal apostrophes and hyphens kept inside words — lowercases every token, and tallies how often each one occurs. The table is ranked by count, highest first, with ties broken alphabetically so the ordering is stable and citable. “The”, “the” and “THE” are the same word in this count, which is what frequency analysis almost always wants.
Raw frequency is dominated by grammar: in most English text the top rows will be the, of, and and their relatives. The stop-word filter removes a standard list of those function words — articles, pronouns, prepositions and common auxiliaries — so the content words that actually characterise your text rise to the top. A minimum-length filter can also drop one- and two-letter tokens. Neither filter changes the underlying count; they change which rows you are looking at.
The full table can be downloaded as CSV (a word,count header followed by one row per word) for use in a spreadsheet or a word-cloud generator. Counting happens entirely in your browser — your text is never uploaded or stored, so unpublished drafts and private documents are safe to analyse.
Stop words are the high-frequency function words of English — the, of, and, a, in, is, you, that, it and about 145 more on the built-in list this tool uses (155 entries in total). Exclude them when you care about subject matter (what a text is about); include them when you care about style or authorship, because function-word habits are exactly what stylometric analysis uses.
No. Every token is lowercased before tallying, so “Apple” at the start of a sentence and “apple” in the middle count as the same word. If you need case-sensitive counts — for names, for instance — this is the wrong aggregation; the Find and Replace tool can count a single exact term with case sensitivity on.
As single words. The token rule keeps internal apostrophes and hyphens inside a token, so “don't” counts once as don't and “well-known” counts once as well-known, matching the Word Counter's definition of a word. Numbers count as words too.
Two columns — word,count — with a header row, one row per distinct word in the same ranked order as the on-screen table. Words containing a comma, quote or newline are quoted and escaped using standard CSV rules, so the file opens cleanly in Excel, Sheets and data tools.
It gives you the raw evidence: sort by count and look at the content words near the top. For a rough density figure, divide a word's count by the total word count from the Word Counter — a single phrase dominating several percent of a long article is the pattern to avoid. The tool reports counts; the editorial judgement stays with you.
No. Frequency counting runs in your browser on your device; your text is never sent to a server, stored or tracked.
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