Text Word Frequency Counter

Word Frequency Counter: Lowercases Unicode letter/number token runs and returns their occurrence counts; it does not calculate keyword relevance, percentages, or density.

Word Frequency Counter · Client runtimeSandboxed
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About this text word frequency counter

Word Frequency Counter: Lowercases Unicode letter/number token runs and returns their occurrence counts; it does not calculate keyword relevance, percentages, or density Applies Unicode-compliant text transformations and parsing directly in the browser tab without data leakage.

Text processing & transformation mechanics

Lowercases the input, extracts each Unicode letter-or-number run, and returns a JSON array of `{ word, count }` records sorted from the highest count to the lowest.

Worked text manipulation example

Scenario: Count normalized Unicode letter and number token runs in the tool’s sample sentence.

Sample input:

CZOA tools make local tools useful and local tools private

Processing: Lowercase the input, extract Unicode letter/number runs, and count each exact normalized run.

Illustrative output:

[ { "word": "tools", "count": 3 }, { "word": "local", "count": 2 }, { "word": "czoa", "count": 1 }, { "word": "make", "count": 1 }, { "word": "useful", "count": 1 }, { "word": "and", "count": 1 }, { "word": "private", "count": 1 } ]

Character encoding & string length boundaries

This counts token runs, not linguistic words or keyword relevance. Punctuation splits tokens; apostrophes and hyphens also split them. It applies no stemming, stop-word filtering, language segmentation, or percentage/density calculation.

Text formatting and transformations in Text Word Frequency Counter preserve character integrity. Check edge cases such as multi-line inputs and special characters before downstream use.

In-memory text processing boundary

String operations and Unicode manipulations in Text Word Frequency Counter execute entirely in local browser memory without transmitting input text.

Unicode Consortium & text formatting standards

Unicode Consortium standard annexes (UAX) and character encoding specifications:

  • ECMAScript Unicode letter and number property matching and stable Array.sort behavior.
  • CZOA-specific exact token frequency count; no keyword relevance, density, or linguistic segmentation algorithm.

Text Word Frequency Counter verification · Audit standards

How to use it

  1. Paste text, for example: CZOA tools make local tools useful and local tools private.
  2. Click Run locally; the tool lowercases the text, extracts Unicode letter/number runs, and counts each exact normalized run.
  3. Read the JSON frequency array, whose records contain `word` and `count`.

Frequently asked questions

What does Word Frequency Counter count?+

It lowercases the entire input first, then extracts Unicode letter-and-digit tokens, counts each occurrence, and returns a JSON array of `{ word, count }` entries sorted from the largest count downward.

Can I try a concrete input?+

Enter `Red red blue` and choose Run locally. Case-insensitive tokenization returns `{ "word": "red", "count": 2 }` before `{ "word": "blue", "count": 1 }`.

How are ties ordered in the output?+

The comparator orders only by descending numeric count. Entries with equal counts retain their first-occurrence order from token collection; there is no alphabetical tie rule.

Does it perform stemming or language analysis?+

No. It does not stem, lemmatize, recognize phrases, remove stop words, or identify part of speech; it counts the matched character tokens.