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Frequency
Paste text above to see how often each word, phrase or character appears.
A frequency counter that instantly tells you which terms are used most in a piece of text. Paste an article, essay, transcript or keyword list and it lists every term with its count and share of the total, ranked from most to least frequent. You can count by one of three units. "Words" splits on whitespace and punctuation to count words (ideal for English and other space-separated languages). "Phrases (n-gram)" counts each run of N consecutive characters as one phrase, so you can find frequent phrases even in Japanese and other languages that don't separate words with spaces — without loading a morphological analyzer (N is 1–6, default 2 for bigrams). "Characters" counts each single character. You can also ignore case, exclude common words (English function words and Japanese particles), and set a minimum count so only terms above a threshold are shown. Use it to spot repeated words and verbal tics, check keyword density for SEO, or gauge vocabulary variety in a draft. Copy or download the full results as a CSV. Your text is never sent to a server — all counting happens entirely on your device.
How to use
- Paste the text whose word frequency you want to measure (article, essay, transcript, etc.).
- Pick a unit — "Words" for English, or "Phrases (n-gram)" with an N for languages like Japanese. Adjust ignore-case, exclude-common-words and the minimum count if needed.
- A frequency table appears below, ranked by count. Use Copy CSV or Download CSV to export the full list.
FAQ
Is my text sent to a server?
No. All counting runs inside your browser. The text you enter is not uploaded, stored, or transmitted; it is handled only on your device, so it's safe even for drafts or confidential text.
Can it count word frequency for Japanese or Chinese?
Yes — use the "Phrases (n-gram)" mode. Since these languages don't separate words with spaces, it counts each run of N consecutive characters as a phrase. Set N to 2 for two-character chunks, 3 for three, and so on. It uses a lightweight n-gram method rather than a dictionary-based tokenizer, so results differ from strict word segmentation.
What is an n-gram?
An n-gram is a sequence of N consecutive items — here, N consecutive characters. For example, counting a text with N=2 looks at every two-character window. This lets you approximate frequent phrases even when words aren't separated by spaces.
What does "Exclude common words" remove?
In word mode it drops common function words from the counts — English words like the, a, and, of, and Japanese particles such as の, に, は, を, が. Use it to focus on content words. It does not apply in n-gram or character mode.
Can I open the results in Excel?
Yes. The Download CSV file opens directly in Excel or Google Sheets. It is saved as UTF-8 with a BOM to avoid garbled characters. The table shows the top 500 terms, but the CSV includes every term that matches your settings.