Word Frequency Counter
This example demonstrates word frequency analysis from String Tools, pre-loaded with a sample sentence. Paste any text and see which words appear most often, sorted by frequency.
How It Works
The tool tokenizes your input by splitting on whitespace, then counts occurrences of each unique token. Results are sorted in descending order by count, so the most frequent words appear first.
Tokenization Approach
Word splitting uses whitespace as the delimiter. This means punctuation stays attached to words: hello, and hello are counted as different tokens. For cleaner analysis, strip punctuation from your input first using the find-and-replace tool.
Reading the Results
The output shows each unique word and how many times it appears. In the sample input, the appears 3 times, fox appears 2 times, and dog appears 2 times. The remaining words appear once each.
Practical Applications
Word frequency analysis helps with:
- Writing analysis: Identifying overused words in essays or articles
- SEO keyword research: Finding which terms appear most in competitor content
- Data exploration: Understanding the dominant terms in a dataset
- Language learning: Seeing which vocabulary words are most common in a text
How to Use
- Paste your text into the input area
- The word frequency table appears in the result area
- Review the sorted list to see which words dominate your text
- Copy the frequency table using the copy button
Common Questions
How do I analyze case-insensitive frequency?
Convert your text to lowercase before analysis. You can use the case converter tool to lowercase everything, then paste the result into the frequency counter. This ensures “The” and “the” are counted as the same word.
Can I count phrases or bigrams?
The tool counts individual words only. To count two-word phrases (bigrams), you would need to preprocess the text to extract adjacent word pairs. For example, from the quick brown fox, the bigrams are the quick, quick brown, brown fox.
Does it handle very long texts?
Yes. The tool processes everything in the browser. For very long texts (novels, large documents), the frequency table may be long. Scroll through the results to see all unique words and their counts.