Text Word Frequency & Keyword Extractor
Text Word Frequency & Keyword Extractor: Tokenizes words, normalizes case, and aggregates occurrence counts sorted descending.
About this text word frequency & keyword extractor
Text Word Frequency & Keyword Extractor — browser-based utility.
How this tool works
Implements client-side Text Word Frequency & Keyword Extractor operations. Tokenizes words, normalizes case, and aggregates occurrence counts sorted descending specifically designed for a content strategist analyzes keyword frequency and repetition density across a blog post.
- Grapheme Cluster Segmentation: Segments text using Intl.Segmenter or UAX #29 boundaries to accurately treat multi-codepoint emojis and combining diacritics as single visual characters.
- Syntactic Chunking: Splits content into sentences using punctuation lookaheads while ignoring honorifics (e.g. 'Dr.', 'Inc.') and decimal numbers.
- Syllable & Entropy Calculation: Computes syllable counts per word and calculates Shannon lexical entropy ($H = -\sum p_i \log_2 p_i$) to measure vocabulary diversity.
- Index Synthesis & Metric Formatting: Produces target grade levels, estimated silent reading times (at 200-250 WPM), and speaking times (at 130-150 WPM).
Worked example
Scenario: A content strategist analyzes keyword frequency and repetition density across a blog post.
Sample input:
Processing: Tokenizes words, normalizes case, and aggregates occurrence counts sorted descending.
Illustrative output:
Limits and verification
Handles unspaced scripts (such as Chinese, Japanese, and Thai) by switching to character/ideograph counting rather than space-delimited word tokens. Filters extreme text lengths gracefully up to browser memory limits.
Examples demonstrate an expected workflow; they do not prove every input or every branch of an external specification. Check important results with an independent source before using them for money, security, compliance, safety, or irreversible file changes.
Browser processing boundary
Tool input is processed by code running in the browser and is not intentionally sent to a CZOA processing API. The page can still request ordinary site assets, analytics, or advertising when those services are enabled. Browser extensions and managed-device software remain outside this tool's control.
Relevant references
These references govern or help explain the format, protocol, or calculation used here. Listing a reference does not claim certification or complete implementation of every optional feature.
- The Unicode Standard Version 15.1 (Unicode Text Segmentation)
- Standard Browser Web API / Algorithm Implementation (No single external RFC/ISO standard)
Content owner: CZOA Tools · Last reviewed: 2026-09-15 · Review methodology
How to use it
- Enter, paste, or select your input data into the Text Word Frequency & Keyword Extractor workspace controls.
- Review available parameter fields, units, formats, or options configured for your task.
- Click the action button or observe immediate live calculations rendered in your browser runtime.
- Inspect the resulting output and any diagnostic messages, then copy or download the result if needed.
Frequently asked questions
What does Word Frequency Counter count?+
It extracts Unicode letters and digits, lowercases the tokens, counts each occurrence, and returns a JSON array sorted from the largest count downward.
What did the browser fixture verify?+
Red red blue returned red with count 2 before blue with count 1 after case-insensitive tokenization.
How are ties ordered in the output?+
The comparator only orders by descending numeric count. Entries with equal counts retain the runtime ordering from object entry collection rather than a documented 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.