Contents

Chapter 1

Features

This chapter covers the core features and capabilities of Keyword Density Checker.

Features

  • Keyword density calculation with status labels (optimal, low, high, stuffed)
  • N-gram analysis: top unigrams, bigrams, and trigrams
  • Flesch-Kincaid readability scoring (Reading Ease + Grade Level)
  • HTML text extraction (strips scripts, styles, tags)
  • Stop word filtering for cleaner n-gram results
  • Vocabulary richness metric
  • Content length warnings for SEO
  • Text and JSON output formats
  • Python stdlib only — zero dependencies

Quick Start

bash
# Analyze a text file
python src/keyword_density_checker.py --input examples/sample_article.txt

# Check specific keyword densities
python src/keyword_density_checker.py --input article.txt --keywords "seo,keyword density,python"

# Analyze HTML content
python src/keyword_density_checker.py --input page.html --keywords "seo tools"

# JSON output
python src/keyword_density_checker.py --input article.txt --format json --output report.json
Chapter 2

Density Status Labels

Follow this guide to get Keyword Density Checker up and running in your environment.

Density Status Labels

StatusDensity RangeMeaning
absent0%Keyword not found
low< 0.5%Might need more mentions
optimal0.5% - 2.5%Sweet spot
high2.5% - 3.0%Getting aggressive
stuffed> 3.0%Risk of penalty

CLI Flags

FlagDescription
--input, -iInput file path (required)
--keywords, -kComma-separated target keywords
--htmlForce HTML parsing mode
--format, -fOutput: text or json
--output, -oOutput file (default: stdout)
Chapter 3
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