Word Frequency Counter Online
Find the words that dominate an article, transcript or draft before editing it. The counter ranks repeated words, reports their counts and shows each word’s share of the detected total. Use case matching and a custom exclusion list to focus the report on the vocabulary you care about.
- Rank words by count and percentage
- Select language-aware word segmentation
- Exclude your own comma-separated word list
Read a frequency report with an example
For red blue red, the total is three words: red appears twice with a 66.67 percent share and blue appears once with a 33.33 percent share. Results are sorted by count, with deterministic text ordering for ties. This makes it easy to spot an overused adjective or recurring topic. Copy or download the JSON report if you want to compare drafts.
Choose case matching and exclusions
Ignore case combines Clear and clear; preserve case treats them as separate entries. To hide words such as the or and, enter them in the comma-separated exclusion field. Exclusions remove rows from the report but do not shrink the original total used for percentages. For red blue red with blue excluded, red still has a 66.67 percent share rather than 100 percent.
Account for language and word boundaries
The counter uses your browser’s Intl.Segmenter with English, Hindi or Spanish selected. Word-like segments include numbers when the segmenter recognizes them, while standalone punctuation is excluded. Accented forms are normalized consistently. Compound words, apostrophes and scripts without spaces can be segmented differently from a simple whitespace counter, and results may vary slightly across browser language-data versions.
Use repetition as an editing signal
A frequent word can be necessary terminology or an accidental habit; the count alone cannot decide which. The report does not score writing quality, identify synonyms or prescribe a target keyword density for Google. Read the sentences around repeated terms before replacing them. Pasted text stays in the browser operation and is limited to 100,000 characters to keep analysis manageable.
Technical references: Language-aware word segmentation