Text AnalysisDeveloper6 min read

Keyword Extractor Documentation

Extract core keywords, entities, and noun phrases locally using client-side algorithms.

Last Updated: 2026-07-26 | Version: 1.0.0

Quick Operations Guide

1

Paste text inside the main editor box.

2

Review the extracted keywords listed in the panel.

3

Adjust configuration sliders to limit total keywords.

4

Click 'Copy CSV' to save tags.

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Purpose & Objectives

The Keyword Extractor helps SEOs and technical writers generate tags, entities, and index keywords. It was built to automate meta keyword configurations without external cloud APIs.

Linguistic & Formatting Problems Solved

  • Extracts main topics from texts.
  • Identifies recurring noun phrases.
  • Generates keyword tags instantly.

Use Cases & Workflow Suitability

Who Should Use / When to Use

  • SEO analysts generating meta tags.
  • Technical writers compiling document indices.
  • Content managers categorizing posts.
  • Generating tags and meta keyword listings for articles.

Who Should Not Use / When to Avoid

  • Users doing basic word count runs.
  • Processing numbers or math calculations.

Key Features & Capabilities

Significance Scoring

Sorts keywords based on tf-idf significance calculations.

Export Panel

Copy keywords as CSV lists instantly.

Workspace Interface & Control Panel Walkthrough

[Editor]
Pasted copy is parsed to extract core keywords.
[Keywords Panel]
Displays list of extracted keywords.

Step-by-Step Execution Guide

  1. Paste text inside the main editor box.
  2. Review the extracted keywords listed in the panel.
  3. Adjust configuration sliders to limit total keywords.
  4. Click 'Copy CSV' to save tags.

Settings & Configurations Explained

Parameter NameValue TypePurpose & Behavior Description
Max KeywordsSlider / InputSelect the total number of keywords to extract.

Outputs, Metrics & Statistics Explained

Output NameMetric TypeMeaning & Linguistic Standard
Extracted KeywordStringExtracted topic word or noun phrase.

Real-World Input-Output Examples

INPUT VALUE
Writing Utilities prioritizes data privacy. Privacy is achieved locally.
OUTPUT METRIC
privacy, Writing Utilities, local, data
NOTE:Excludes prepositions and lists core topics.

Best Practices for Professional Copy

  • Filter out minor tags to focus on the top 5 significance keywords.

Common Mistakes & Formatting Pitfalls

  • Extracting keywords from short texts (leads to generic results).

Troubleshooting, Errors & Technical Boundaries

⚠️ Symptom: Irrelevant words listed

Solution: Increase minimum word length constraints in configuration.

Platform Limitations

  • Cannot detect semantic entities not present in text strings.

Privacy & Browser Local Security

🛡️

100% Client-Side V8 Processing

Runs locally in V8. No cloud data uploads. No document metadata, token outputs, or pasted texts are transmitted over sockets or stored on external cloud infrastructure.

Accessibility Compliance

ARIA-compliant lists are visible and readable. Writing Utilities is committed to providing keyboard-navigable index flows, aria tag compliance, and clean HTML5 semantics for all users.

Frequently Asked Questions

The extractor uses client-side statistical algorithms (similar to TF-IDF metrics) that evaluate word frequency, position, and word length, weighting content words higher than helper words.
Yes, the extractor identifies common compound noun phrases and lists them alongside individual highly-weighted terms.
The tool works best on medium to long texts (300 to 5,000 words), where there is enough statistical vocabulary to draw accurate significance scores.
Yes, you can set the limit (e.g., extract top 5, 10, or 20 keywords) depending on your content indexing or metadata tag requirements.
No, the extraction logic runs entirely on local JavaScript code, making it fully usable even when your device is completely offline.

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