Word Frequency Counter: Find Overused Words and Keyword Density Instantly
Use the free Word Frequency Counter to tally every word in your text, filter stop words, sort by rank or alphabet, and export CSV — all in your browser.
Table of Contents
A total word count tells you how long a draft is. It does not tell you which words you lean on. That gap is where writing gets repetitive, SEO copy gets stuffed, and student essays start to sound like the same three verbs on a loop. The Word Frequency Counter fills the gap: paste text, and every distinct token is ranked by how often it appears, with a percentage share and a visual bar.
The tool runs entirely in your browser. Nothing is uploaded. That makes it safe for unpublished drafts, client copy, exam answers, or internal docs you would not drop into a cloud “AI writer.” Open the Word Frequency Counter, paste, and the table updates as you type.
This guide explains why a frequency table is more useful than a raw count, how the filters work, how words are tokenized, and four practical workflows for writers, SEO work, language study, and research notes.
Why Use a Word Frequency Counter?
- See overuse, not just length. A 1,200-word article that repeats “solution” 28 times looks fine in a word counter. A frequency table makes that pattern obvious in one glance.
- Separate filler from content. Enable stop-word removal and the ranking shifts from “the / and / to” to the nouns and verbs that actually carry the topic.
- Measure keyword density without a plugin. Each row shows count and percentage of all counted tokens, which is the same ratio SEO tools call density — without sending the page to a crawler.
- Control case and length. Keep “Apple” and “apple” distinct when that distinction matters, or fold case for a clean tally. Raise minimum length to drop one- and two-letter noise.
- Export instead of screenshotting. Copy tab-separated rows or download CSV for Sheets, Excel, or a Python notebook.
- Stay private. Tokenization and ranking happen on your device. Drafts never leave the tab.
Key Features
| Feature | What it does |
|---|---|
| Frequency table | Rank, word, count, and percentage with a bar scaled to the top word |
| Sort modes | Most frequent first, or A–Z for a vocabulary scan |
| Stop-word filter | Drops common English function words (the, and, of, is, …) |
| Min word length | Ignore tokens shorter than N characters |
| Top N | Show only the first N rows after sorting |
| Case sensitive | Keep “API” and “api” as separate entries |
| Stats strip | Total words, unique words, rows shown, most-frequent count |
| Copy / CSV | Tab-separated clipboard or a .csv download |
| Safety cap | UI lists at most 1,000 rows so huge pastes stay snappy |
- Live analysis. There is no “run” button. Filters and sort apply immediately to the current text.
- Unicode-aware tokens. Matching includes Latin letters, digits, apostrophes inside words, Latin Extended, and CJK characters — not only ASCII [a-z].
- Client-side only. No account, no quota, no server log of your paste.
How to Use
- Open the Word Frequency Counter and paste or type into Text to Analyze.
- Read the stats: Total words, Unique words, Rows shown, and Most frequent. The table lists each remaining token with count and percent.
- Tune the analysis. Turn on Remove common stop words for content-word rankings. Set Min word length (for example 4) to skip tiny tokens. Use Case sensitive only when capitalization is a real distinction.
- Choose By Frequency to hunt overuse, or Alphabetical to scan the vocabulary. Set Top N if you only want the head of the list (0 means all, still capped at 1,000 rows on screen).
- Click Copy for TSV or CSV for a spreadsheet file. Clear empties the paste; Reset restores default options.
If you hit the 1,000-row notice, you have more unique tokens than the table will paint. Raise min length, enable stop words, or set Top N — the underlying counts still include every matching token in the totals.
Understanding Word Frequency
A token here is a run of letters, digits, or apostrophes (including ' and ’), plus selected Unicode ranges for accented Latin and CJK. Punctuation, spaces, and most symbols are separators, not words. "don't" stays one token; "end-to-end" splits on the hyphens.
Frequency is a simple ratio:
percentage = (count of this word / total counted words) × 100
The denominator is the tokens that survive your filters, not the raw character length of the paste. If you remove stop words, “the” disappears from both the table and the total, so remaining words get a larger share. That is usually what you want for keyword density of content words. Leave stop words on if you are studying function-word habits or comparing against a full-corpus baseline.
Stop words are high-frequency function words that appear in almost any English paragraph. The built-in list covers articles, pronouns, auxiliaries, and common prepositions (the, and, is, of, to, you, that, …). It is English-centric: Thai, French, or mixed-language text will still tokenize, but the filter will only drop the English items on the list. For other languages, raise min length or export CSV and filter in a spreadsheet.
Case folding is off by default in the sense that the tool lowercases unless you check Case sensitive. Unchecked, SEO, seo, and Seo merge. Checked, they stay three rows — useful for code identifiers, brand casing, or acronyms.
Keyword density in SEO is this same percentage for a target phrase’s words. A single-word target is a direct row. A two-word phrase will not appear as one row unless you pasted a closed compound; use frequency of each constituent plus a full-text search in your editor for the exact phrase. Density above a few percent on one branded term often reads as stuffing; the table makes that visible before you publish.
Unique vs total. Unique is the size of the vocabulary after filters. A low unique-to-total ratio on a long draft often means repetition or a narrow topic. A high ratio on a short snippet just means you have not repeated yet — do not over-read a 80-word bio.
The 1,000-row cap is a render guard, not a counter limit. Totals still reflect the full filtered token stream; only the painted table is sliced.
Practical Use Cases
Edit a blog post or landing page
Paste the draft with stop words off and min length 4. If your product name, a vague adjective (amazing, powerful), or a filler verb (provide, help) sits in the top five, rewrite those sentences. Then paste the revised section again and confirm the head of the list moved toward concrete nouns. Pair this with the Word Counter when you also need reading time and character limits for meta descriptions.
Check SEO copy without a crawl
For a page targeting one primary keyword, paste the body (not the nav). Note the keyword’s percentage and nearby synonyms. If the exact word is missing but synonyms dominate, you may be under-using the query people type. If it is 8% of all content words, you are likely stuffing. Export CSV, keep a column of “intended keywords,” and compare drafts side by side. Visual people can then send the same text through the Word Cloud Generator for a poster-style view of the same distribution.
Study vocabulary in a text you are reading
Language learners can paste a chapter, sort alphabetically, and export CSV as a word list. Enable stop words so the list is not 40% “the.” Set min length to 3 or 4. The unique count is a rough vocabulary size for that passage. Teachers can do the same on student essays to flag repeated informal words (like, stuff, thing) that a grammar checker will ignore.
Analyze notes, transcripts, or research text
Interview transcripts and meeting notes hide themes in repetition. Paste with stop words removed and scan the top 20. Cluster near-duplicates (login / logins) by eye or after export. Because nothing is uploaded, this is reasonable for internal research as long as you trust the device. If the writing also needs grade-level checks, run a second pass in the Readability Checker rather than inferring “clarity” from frequency alone.
Best Practices
- Filter before you judge. Rankings dominated by the and and are expected. Turn on stop words before you rewrite for “voice.”
- Match case to the job. Brands and APIs: case on. Prose: case off.
- Use min length as a noise gate. 1, a, and to vanish at length 3+; you keep api and seo.
- Treat percentage as share of filtered tokens. Changing filters changes density. Quote the settings if you share a screenshot.
- Export for phrases and stemming. The table is unigram-only. Multi-word keywords and lemma groups belong in a spreadsheet after CSV download.
- Do not chase a magic density number. Search engines care about useful pages. Use frequency to catch accidents, not to hit 2.00% on a target term.
Ready to see which words actually run your draft? Open the Word Frequency Counter, paste the text, strip stop words, and export the table if you want a record. The ranking updates in place — no upload, no wait.
Related Tools You Might Like:
- Word Counter — live totals for words, characters, sentences, and reading time
- Readability Checker — grade level and clarity scores for the same draft
- Word Cloud Generator — a visual layout of word weights for slides and posters
Happy tallying.