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WRITING & TEXT TOOL
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Text Statistics

Comprehensive text analytics dashboard measuring lexical diversity, readability scores (Flesch, Fog, ARI), and word frequency distributions.

✓Calculates Flesch Reading Ease, Flesch-Kincaid Grade, and Gunning Fog
✓Type-Token Ratio (TTR) lexical diversity and syllable complexity analysis
✓Top word frequency breakdown with configurable stop-word filtering
Readability IndicesCollege Graduate
Flesch Reading Ease10.6/100 (College Graduate)
Lexical Diversity88%Type-Token Ratio
Flesch-Kincaid GradeGrade 16
Gunning Fog IndexGrade 20
Document Volume Summary•83 Words•630 Characters•3 Paragraphs
Words83
Unique Words73
Sentences5
Paragraphs3
Reading Time25 sec
Speaking Time38 sec
Text Input Area83 words / 5 sentences
Lexical Structure
Type-Token Ratio (TTR)88%
Avg Word Length6.4 chars
Avg Sentence Length16.6 words
Complex Words (3+ syl)27 (32.5%)
Total Syllables176

Readability Formulations

Flesch Reading Ease10.6 / 100
Very difficult. Technical or specialized papers.
Flesch-Kincaid Grade LevelGrade 16
Corresponds to US school grade 16 reading proficiency.
Gunning Fog IndexGrade 20
Measures years of formal education needed to understand on first reading.
Automated Readability Index (ARI)Grade 18
Calculates grade level based on characters per word and words per sentence.

Word Frequency Distribution

#1engineering2x(2.4%)
#2complex2x(2.4%)
#3software1x(1.2%)
#4much1x(1.2%)
#5art1x(1.2%)
#6communication1x(1.2%)
#7exercise1x(1.2%)
#8logic1x(1.2%)
#9clean1x(1.2%)
#10architecture1x(1.2%)
#11ensures1x(1.2%)
#12systems1x(1.2%)
#13remain1x(1.2%)
#14maintainable1x(1.2%)
#15understandable1x(1.2%)

Comprehensive Text Statistics & Readability Dashboard

Understanding text volume alone is rarely enough for professional editors, technical communicators, and SEO writers. Deep text auditing requires analyzing vocabulary diversity, structural complexity, syllable distributions, and verified readability indices.

This dashboard combines primary document counts (words, chars, sentences, paragraphs) with advanced lexical metrics (Type-Token Ratio, average word/sentence lengths, complex word counts) and established readability formulas (Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog, and ARI).

Core Tool Capabilities

  • Verified Readability Formulas: Computes Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, and Automated Readability Index (ARI).
  • Lexical Diversity (Type-Token Ratio): Measures vocabulary variety by comparing unique words to total word volume.
  • Word Frequency Distribution: Visualizes top 15 most frequent words with an option to filter out common English stop-words.
  • Syllable & Complexity Breakdown: Counts total syllables and complex 3+ syllable words to evaluate syntactic weight.

Local Browser Privacy

Your files are processed locally on your device. Files are not uploaded, transmitted, or stored on remote servers.

Once the page has loaded, you can disconnect your network connection and continue using this tool offline.

Target Use Cases

  • • Technical Documentation Audits
  • • SEO Content Optimization
  • • Academic & Journal Writing
  • • Executive Communications

Technical Specifications & Platform Limits

Readability Formulas
Flesch, FKGL, Gunning Fog, ARI

Standard algorithmic reading ease and grade-level formulas

Lexical Metric
Type-Token Ratio (TTR %)

Quantifies vocabulary richness and repetitive wording density

Word Frequency Filter
English Stop-Word Corpus

Filters grammatical articles and prepositions to highlight core topical keywords

Data Safety
Local Client-Side Memory

Statistical analysis executes in local browser memory with zero network traffic

Step-by-Step Workflow

1

Enter Document Text

Paste your article, essay, or documentation into the workspace editor.

2

Review Level 1 Volume Counts

Inspect primary word, character, sentence, and paragraph counts.

3

Audit Readability Indices

Check Flesch Reading Ease and Grade Level scores to ensure text matches your target audience.

4

Analyze Word Frequencies

Toggle stop-word filtering to inspect dominant keywords and repeated terms.

Practical Real-World Use Cases

Technical Documentation Audits

Ensure developer manuals and user guides meet target 8th-grade readability standards.

SEO Content Optimization

Identify keyword density and lexical diversity to improve topical authority.

Academic & Journal Writing

Assess syntactic complexity and vocabulary richness in scholarly research papers.

Executive Communications

Simplify corporate emails, memos, and proposals for rapid executive comprehension.

Frequently Asked Questions

What is a good Flesch Reading Ease score?
A score between 60 and 70 is considered standard plain English (easily understood by 8th and 9th graders). Scores above 80 indicate conversational writing, while scores below 50 indicate dense academic or legal prose.
What is Type-Token Ratio (TTR)?
Type-Token Ratio is the ratio of unique words (types) to total words (tokens), expressed as a percentage. Higher TTR indicates richer vocabulary with less repetition.
How does the stop-word filter work?
Checking 'Filter Stop Words' removes common filler words (such as 'the', 'and', 'is', 'in') from the frequency table, surfacing meaningful topical keywords.
Is my text uploaded to a server for analysis?
No. All text parsing and statistical algorithms run locally inside your browser.

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