dvcrn Text Stats
Analyze any text document for readability, word count, keyword density, and more. Perfect for content optimization, SEO analysis, or writing improvement.
Usage
Full analysis
python3 {baseDir}/scripts/text_stats.py analyze document.txt
python3 {baseDir}/scripts/text_stats.py analyze document.md
Word count only
python3 {baseDir}/scripts/text_stats.py wc document.txt
Keyword density
python3 {baseDir}/scripts/text_stats.py keywords document.txt --top 20
Reading time
python3 {baseDir}/scripts/text_stats.py time document.txt
Output Example
📊 Text Analysis: article.md
━━━━━━━━━━━━━━━━━━━━━━━━━━
Words: 2,847
Characters: 16,203
Sentences: 142
Paragraphs: 38
Avg words/sent: 20.0
Reading time: ~11 min (at 250 wpm)
Readability:
Flesch-Kincaid Grade: 8.2 (8th grade)
Flesch Reading Ease: 62.1 (Standard)
Gunning Fog Index: 10.4
Top Keywords:
AI (47x, 1.65%)
agent (31x, 1.09%)
data (28x, 0.98%)
Features
- 📏 Word, character, sentence, paragraph counts
- ⏱️ Estimated reading time
- 📖 Readability scores (Flesch-Kincaid, Gunning Fog, Flesch Reading Ease)
- 🔑 Keyword frequency and density
- 🇨🇳 CJK character counting (Chinese characters = words)
- 🪶 Zero dependencies — Python stdlib only
Dependencies
None! Uses only Python standard library.