Word frequency counter
Count repeated words in text and view a ranked table with each word's occurrence count and percentage of the analyzed text.
Word frequency counter. Count repeated words in text and view a ranked table with each word's occurrence count and percentage of the analyzed text. Paste text to see which words appear most often.
The table updates as you type and shows each normalized lowercase word, its rank, occurrence count, and percentage of the analyzed words. This is useful for spotting repetition in articles, reports, transcripts, study notes, and keyword drafts.
The counter recognizes letters and numbers from multiple writing systems. It removes most punctuation before counting, keeps apostrophes and hyphens inside tokens, and does not remove common stop words such as the or and.
Processing happens locally in your browser. For additional totals, use Word counter or Text statistics.
How to use this online tool
Word frequency counter is designed for fast browser workflows when you need to format, validate, convert, decode, encode, generate, or inspect data without opening a heavy desktop app. Start with the input field or visible options, review the result, then copy or download the output for the next step.
Private processing in your browser
Word frequency counter keeps the normal processing step local in your browser. That is useful for code snippets, tokens, documents, configuration values, text samples, and other material that should not be sent to a remote service unless you explicitly choose to share it.
When this tool is useful
Use Word frequency counter for repeatable developer tasks, technical documentation, QA checks, quick conversions, debugging, content cleanup, and internal team workflows. The page focuses on clear inputs, immediate feedback, and output that is easy to reuse in code, reports, tickets, emails, or notes.
Practical tips
Before copying the final result, check important details such as spacing, casing, filenames, encoding, token structure, line breaks, or output format. Small checks prevent mistakes when the result is reused in source code, API requests, documentation, spreadsheets, or shared files.