Keyword Frequency Counter
Count occurrences of each unique word in a document. Shows a sorted frequency table with counts, percentages, and an optional stop-words filter.
- Unique Terms
- 18
- Top Frequency
- fast (4)
- Keyword Hits
- —
- Enter a keyword
- Total Words
- 30
Input Document
Frequency Matrix
| # | Term | Count | Density |
|---|---|---|---|
| 1 | fast | 4 | 13.33% |
| 2 | the | 4 | 13.33% |
| 3 | and | 2 | 6.67% |
| 4 | dog | 2 | 6.67% |
| 5 | fox | 2 | 6.67% |
| 6 | is | 2 | 6.67% |
| 7 | lazy | 2 | 6.67% |
| 8 | tools | 2 | 6.67% |
| 9 | brown | 1 | 3.33% |
| 10 | developers | 1 | 3.33% |
| 11 | for | 1 | 3.33% |
| 12 | jumps | 1 | 3.33% |
| 13 | over | 1 | 3.33% |
| 14 | private | 1 | 3.33% |
| 15 | provides | 1 | 3.33% |
| 16 | quick | 1 | 3.33% |
| 17 | reliable | 1 | 3.33% |
| 18 | swizztool | 1 | 3.33% |
How to use Keyword Frequency Counter
- Paste a draft into the input box.
- Choose words, 2-word phrases, or 3-word phrases.
- Type a target keyword to see hit count and density.
- Filter stop words, then copy or download the frequency table.
About Keyword Frequency Counter
This keyword frequency counter ranks every word, two-word phrase, and three-word phrase in your text. It also counts a target keyword on demand. Use it as a keyword counter, word occurrence counter, or keyword density checker.
Related tools: Word Counter, Byte Counter & Character Counter, Free Readability Checker, Find & Replace
How keyword frequency and density work
The tool tokenizes Unicode words, counts each unique term, and shows density as a percentage of counted tokens. Filter common stop words such as the, and, and is when you want topic words instead of grammar words.
Phrase mode groups consecutive words into 2-word and 3-word phrases. That is the difference between a simple word counter and a keyword frequency analyzer. Search teams use phrases to see whether a page repeats a target term such as word count tool or Instagram DM generator.
The keyword search box counts one term or phrase you care about. Paste a draft, type the keyword, and read the hit count plus density. Processing stays in the browser, so unpublished copy never leaves the device.
Keyword counter vs word counter
A word counter answers how long the text is. A keyword counter answers how often a term appears and how dense it is. Use both on the same draft: count total words first, then inspect keyword frequency and phrase frequency.
This page is built for writers, SEO editors, students, and researchers who need occurrence tables, not just a single total. Export the table as CSV when you want to keep a record or drop the ranks into a spreadsheet.
Common uses
- SEO keyword density
- Check whether a target keyword and its close phrases appear often enough without stuffing.
- Content briefs
- Compare a draft against the terms a brief asked you to cover.
- Research and transcripts
- Rank repeated terms in interviews, notes, or PDF text you have already copied.
- Editing repeats
- Find words you overuse before a final pass.
Questions about Keyword Frequency Counter
- Is this a keyword counter or a word counter?
- Both. The table ranks every term. The keyword box counts one word or phrase you care about. For total document length, use the word counter.
- Can I count phrases, not just words?
- Yes. Switch to 2-word or 3-word phrases to rank keyword-style n-grams.
- What are stop words?
- Stop words are common grammar terms such as the, and, and is. Filtering them leaves topic words.
- Does keyword density include stop words?
- Density uses the tokens in the current table. Turn on the stop-word filter if you want density among content words only.
- Is the text uploaded?
- No. Frequency counts run locally in the browser.
More tools like Keyword Frequency Counter
- Word CounterCount words, characters, sentences, paragraphs, and reading time.
- Byte & Character CounterCount UTF-8 bytes, characters, letters, digits, and whitespace.
- Readability CheckerCheck Flesch Reading Ease, grade level, and sentence difficulty.
- Find & ReplaceFind and replace words, phrases, or regex patterns with match counts.
Comments
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