Word Frequency Analyzer
Advanced word statistics: stop-word filtering, phrases, density and lexical variety.
- Free
- Real-time
- Runs locally
Options
Analyze
Total words
0
Unique words
0
Lexical diversity
–
Unique ÷ total words
Lexical density
–
Content words share
Word frequency
0 wordsSort by
Enter some text to analyze word and phrase frequency.
Exports include every word in the current view (search and sort applied).
Vocabulary
- Used once
- –
- Average word length
- –
- Longest word
- –
- Stop words
- –
Word length
No words yet.
Go beyond a simple word count. This analyzer filters out common words like the, of and and, so the words that actually carry meaning rise to the top. Switch to 2- or 3-word phrases to find recurring expressions such as “machine learning” or “customer support team”.
Alongside the frequency table you get vocabulary statistics: lexical diversity, lexical density, words used only once, average and longest word, and a word length chart. Export any view as CSV. Your text is analyzed entirely in your browser.
How to analyze word frequency
- STEP 01
Paste your text
Paste an article, essay, transcript or any text. Results update as you type, even for very long documents.
- STEP 02
Choose words or phrases
Analyze single words or 2- and 3-word phrases, and decide whether stop words, numbers and plurals are counted.
- STEP 03
Read and export the results
Search and sort the table, check the vocabulary statistics, and copy or download the list as CSV.
Features
Stop-word filtering
Skip about 170 common English function words, and add your own words to ignore.
Phrase (n-gram) analysis
Count 2- and 3-word phrases. Phrases never cross sentence or clause boundaries and never start or end with a stop word.
Plural merging
Optionally count cats as cat and stories as story, but only when both forms appear in your text.
Lexical diversity and density
See how varied your vocabulary is and how much of the text is made of content words.
Word length chart
A distribution of word lengths plus average word length, longest word and words used only once.
Fast and private
Large texts are analyzed in a background thread so typing stays smooth, and nothing is uploaded.
Understanding the statistics
Lexical diversity (type-token ratio) is the number of different words divided by the total number of words. Higher values mean more varied vocabulary; it naturally falls as texts get longer, so compare texts of similar length.
Lexical density is the share of words that are not stop words. Informative writing usually has a higher density than casual conversation. “Used once” counts distinct words that appear only one time, often called hapax legomena.
Word Frequency Analyzer vs Word Frequency Counter
The Word Frequency Counter lists every word exactly as it appears, with case-sensitive counting. This analyzer is built for insight: it removes filler words, finds phrases, merges plurals and adds vocabulary statistics.
Frequently asked questions
What are stop words?
Stop words are very common words such as the, of, and, to, is and it that appear in almost every text and say little about its topic. Excluding them shows which meaningful words are used most. The built-in list is English; add words for other languages in “Also ignore these words”.
How are phrases counted?
A 2-word phrase is every pair of neighbouring words, and a 3-word phrase every group of three, within the same sentence or clause. With stop words excluded, phrases like “of the” are skipped, but “state of the art” style phrases can still contain stop words in the middle.
What does “Merge plurals” do?
It adds the count of a plural to its singular form when both appear, for example cats → cat, boxes → box and stories → story. It uses simple English rules and skips words like news or analysis.
What is a good lexical diversity score?
There is no single target. Short texts often score above 60%, while long documents commonly fall to 30–50% because common words repeat. Use it to compare drafts or texts of similar length.
Is the analysis case-sensitive?
No. Words are compared in lower case, so “Apple” and “apple” are counted together. Use the Word Frequency Counter for case-sensitive counts.
Is my text uploaded?
No. All analysis runs in your browser, and large texts are processed in a local background thread.