Sample text
data drives decisions. good data drives good decisions.
data 2 22.2% drives 2 22.2% decisions 2 22.2% good 2 22.2%
Word Frequency Counter
Rank how often each word appears, filter stop words, set minimum length, and sort by count or alphabetically for content and corpus analysis.
Word Frequency Counter
Paste text — frequency table and stats update instantly.
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Total words
0
Unique words
0%
Vocabulary richness
0
Avg repetitions
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Top word
0
Highest count
Vocabulary Richness
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Paste text to analyze
0–40% repetitive · 40–70% balanced · 70–100% varied
Paste or type text to analyze
Sorted word counts
Frequency table updates as you type.
Top Words
Top words will appear here.
Your text stays in your browser — nothing is uploaded.
Example
With stop words excluded
The quick brown fox jumps over the lazy dog.
quick 1 brown 1 fox 1 jumps 1 lazy 1 dog 1
Top words preview
#1 analysis (12) #2 text (10) #3 data (8) #4 report (7) #5 words (6)
Word Frequency Modes Explained
Ignore case
Treats
Dataanddataas the same word so counts reflect meaning, not capitalization.Exclude stop words
Filters common words like
the,and, andofso keyword-heavy terms stand out.Minimum length
Drop short tokens — set min length to 3 or 4 to focus on substantive vocabulary.
Alphabetical sorting
Sort A–Z to scan for specific terms or compare against a keyword checklist.
Frequency sorting
Default mode — highest counts first to spot repetition and overused terms quickly.
Percentage view
Shows each word's share of total tokens — helpful for SEO ratios and writing balance.
Common Uses
SEO keyword analysis
Check whether target keywords appear often enough without stuffing.
AI prompt analysis
Spot repeated instructions or filler in long ChatGPT prompts and outputs.
Article editing
Find overused adjectives and weak verbs during revision passes.
Academic papers
Measure term emphasis and vocabulary diversity in essays and theses.
Speech transcripts
Identify filler words and repeated phrases in meeting notes.
Product descriptions
Balance brand terms and feature keywords across catalog copy.
Research corpora
Quick token counts for small text samples and linguistics homework.
Technical documentation
Audit jargon density and repeated API or config terms.
Before and After Examples
| Scenario | Input | Result |
|---|---|---|
| SEO article | Keywords help SEO. SEO content needs keywords. | seo 2 · keywords 2 · content 1 |
| Meeting transcript | We will review the roadmap today. | roadmap 1 · review 1 (stop words excluded) |
| Essay draft | However, however, the argument however fails. | however 3 — repetition flagged |
| Product catalog | Premium leather wallet. Premium leather belt. | premium 2 · leather 2 |
| ChatGPT output | Certainly! Certainly, here is the summary. | certainly 2 — AI filler pattern |
| Research notes | Data shows trends. Trends in data matter. | data 2 · trends 2 |
Word Frequency Problems This Tool Solves
- Repeated words — surface terms you use too often in a single draft.
- Keyword stuffing — see when SEO targets dominate percentages unnaturally.
- Weak vocabulary — low unique-word counts and high repetition hint at thin prose.
- AI overuse patterns — catch filler like certainly, delve, or robust.
- Writing style analysis — compare emphasis across sections or author voices.
- Topic emphasis — confirm which concepts appear most in notes, papers, or transcripts.
Vocabulary Metrics Explained
Total words
All tokens counted after filters — the denominator for percentages.
Unique words
Distinct vocabulary size — how many different words appear at least once.
Vocabulary richness
Unique ÷ total × 100 — higher values mean more varied word choice.
Average repetition
Total words ÷ unique words — how often each unique term repeats on average.
Percentage
Each word's count divided by total tokens — a simple prominence ratio.
Most common word
The highest-frequency token after your current filter settings.
Popular Workflows
Large Examples
Blog article
content 8 16% writing 5 10% readers 4 8% tips 4 8%
Meeting transcript
roadmap 6 12% quarter 5 10% launch 4 8% team 4 8%
Customer feedback
product 7 18% quality 5 13% support 4 10% shipping 3 8%
SEO page
keyword 9 20% search 6 13% ranking 4 9% traffic 3 7%
Research notes
data 6 15% sample 4 10% results 4 10% study 3 8%
ChatGPT output
summary 5 14% however 4 11% provide 3 8% example 3 8%
Why Word Frequency Matters
SEO
Detect repeated keywords and keyword stuffing.
Writing
Find overused words and improve variety.
AI prompts
Spot repeated terms in generated content.
Research
Analyze vocabulary distribution.
Editing
Improve style and clarity.
Education
Review essays, reports, and assignments.
Word Frequency vs Other Tools
| Task | Best Tool |
|---|---|
| Count total words | Word Counter |
| Analyze repeated words | Word Frequency Counter |
| Improve readability | Readability Checker |
| Compare revisions | Text Diff |
| Clean punctuation first | Remove Punctuation |
| Normalize pasted text | Plain Text Converter |
| Replace repeated terms | Find and Replace Text |
Frequently Asked Questions
How are words split?
Words are tokenized on word boundaries — sequences of letters, digits, and apostrophes between punctuation or whitespace.
What does ignore case do?
Ignore case merges tokens that differ only in capitalization, so "Data" and "data" count as one word.
Can I exclude "the" and "and"?
Yes. Enable Exclude common words to filter high-frequency stop words from the results table.
What are stop words?
Stop words are common function words — like the, and, of, and is — that carry little topical meaning. Excluding them highlights content words.
Can numbers be counted?
Yes, when Include numbers is on. Pure numeric tokens like 2024 are counted; turn the option off to ignore them.
Can punctuation affect results?
Punctuation marks are not counted as words, but they define token boundaries. Clean text first with Remove Punctuation if you need consistent splits.
What does vocabulary richness mean?
Vocabulary richness is unique words divided by total words, shown as a percentage. Higher values mean more varied word choice; lower values suggest repetition.
Why are common words excluded?
Common words like the and and appear in almost every sentence but carry little topical meaning. Excluding them highlights content words and keywords.
Can I see percentages?
Yes. Enable Show percentages to add a Percentage column. Bar widths reflect each word's count relative to the most frequent term.
Can I analyze long documents?
Yes. Processing runs in your browser. Very large pasted texts may slow older devices — split huge logs if needed.
Can I sort alphabetically?
Yes. Choose Sort alphabetically to list words A–Z instead of by frequency.
Can I export the frequency table?
Yes. Use Copy Table for tab-separated output, or Download TXT / Download CSV to save Word, Count, and Percent columns.
Is my text uploaded?
No. All counting runs locally in your browser — your text never leaves your device.
Can I download CSV?
Yes. Click Download CSV to save Word, Count, and Percent columns for spreadsheets or reports.