Word Frequency Counter

The Word Frequency Counter scans any block of text and tells you exactly how many times each individual word appears, then ranks every term from the most common to the least common. Instead of a single total, you get a complete breakdown that reveals which words dominate your writing and which barely show up at all.

It is built for writers checking that they are not over-relying on a favourite phrase, SEO specialists measuring keyword density, students analysing texts for assignments, and researchers studying language patterns in documents. Anyone who needs to understand the composition of a piece of writing rather than just its length will find the ranked table genuinely revealing.

Everything is calculated inside your web browser using JavaScript. The tool splits your text into words with Unicode-aware patterns, counts each one in a single pass, and presents the results in a sortable table with both raw counts and percentages. Because nothing is uploaded, even confidential drafts, manuscripts and client documents stay completely private on your own device.

Features

• Counts every unique word and ranks the full list from the most frequent term down to the rarest one.
• Shows both the raw occurrence count and the percentage share so you can judge each word's weight at a glance.
• Case-insensitive counting can be toggled, so Apple and apple are either merged together or kept as separate words.
• An optional stop-word filter hides common words like the, and and of to surface the meaningful terms in your text.
• Results are sortable by frequency or alphabetically, making it easy to find a specific word or spot the top terms.
• Unicode-aware tokenising recognises accented letters, contractions and many non-Latin scripts as proper words.
• Summary statistics report the total word count and the number of distinct words so you can gauge vocabulary variety.
• Everything runs offline in your browser with no sign-up, no upload limits and no watermarks added to your text.

How to use Word Frequency Counter

1. Paste or type your text into the input box, or upload a plain .txt file to load its contents instantly.
2. Leave case-insensitive counting on to merge capitalised and lowercase forms, or turn it off to keep them separate.
3. Switch on the stop-word filter when you want to ignore common connecting words and focus on meaningful terms.
4. Choose whether to sort the table by frequency to see the top words, or alphabetically to look up a specific one.
5. Read the count and percentage for each word to understand which terms dominate and which are barely used.
6. Copy the table or export it as CSV when you want to keep the frequency breakdown or analyse it in a spreadsheet.

Benefits

• Writers spot overused words and repetitive phrasing so they can vary their vocabulary and tighten their prose.
• SEO specialists measure keyword density to confirm a page targets its terms without crossing into keyword stuffing.
• Students and researchers analyse texts quickly for assignments, content studies and basic corpus linguistics work.
• Editors audit a draft to check that key terms appear often enough while filler words are kept under control.
• Translators and language learners study which words occur most often to prioritise vocabulary worth memorising.
• Anyone handling sensitive documents benefits because the analysis runs locally and is never sent to any server.

Word frequency analysis is one of the oldest techniques in text study, underpinning everything from search engine ranking to authorship attribution. By turning a wall of prose into a ranked table of counts, it exposes patterns that are invisible when you simply read top to bottom, such as a crutch word you reach for unconsciously or a key term that appears far less often than you assumed.

The optional stop-word filter is especially useful for keyword work. Common function words like the, and, of and to almost always top the raw list yet carry little meaning, so removing them lets the words that actually describe your subject rise to the top. Combine that with the percentage column and you can quickly see whether your target keyword sits at a natural density or is being repeated so often that it reads awkwardly.

All counting happens locally in your browser, so your text is never uploaded, stored or logged anywhere, keeping confidential work safe. The tokeniser is Unicode-aware and accurate for most languages, though hyphenated compounds, contractions and unusual punctuation can occasionally be split in ways you might count differently by hand, so treat the totals as a close and consistent guide.