📊 Text Statistics

📝 Text Input

{{ inputText.length }} characters (analyzing in real-time)

⚙️ Analysis Options

Include readability scores

Calculate Flesch Reading Ease, Grade Level, and other readability metrics

💡 Quick Examples

📁 File Upload

Supports: .txt, .md, .html, .rtf files (max 1MB)

📈 Basic Statistics

Characters: {{ statistics.basic.characters.toLocaleString() }}

Without spaces: {{ statistics.basic.charactersWithoutSpaces.toLocaleString() }}

Without whitespace: {{ statistics.basic.charactersWithoutWhitespace.toLocaleString() }}

Words: {{ statistics.basic.words.toLocaleString() }}

Unique words: {{ statistics.basic.uniqueWords.toLocaleString() }}

Sentences: {{ statistics.basic.sentences.toLocaleString() }}

Paragraphs: {{ statistics.basic.paragraphs.toLocaleString() }}

Lines: {{ statistics.basic.lines.toLocaleString() }}

Non-empty lines: {{ statistics.basic.nonEmptyLines.toLocaleString() }}

Lexical diversity: {{ statistics.advanced.lexicalDiversity }}

🔍 Advanced Analysis

Avg word length: {{ statistics.advanced.averageWordLength }} chars

Avg sentence length: {{ statistics.advanced.averageSentenceLength }} words

Longest word: {{ statistics.advanced.longestWord }}

Shortest word: {{ statistics.advanced.shortestWord }}

Very short words: {{ statistics.words.length_categories.very_short }} (1-2 chars)

Short words: {{ statistics.words.length_categories.short }} (3-4 chars)

Medium words: {{ statistics.words.length_categories.medium }} (5-7 chars)

Long words: {{ statistics.words.length_categories.long }} (8+ chars)

🔤 Character Analysis

Letters: {{ statistics.characters.letters.toLocaleString() }}

Uppercase: {{ statistics.characters.uppercase.toLocaleString() }}

Lowercase: {{ statistics.characters.lowercase.toLocaleString() }}

Digits: {{ statistics.characters.digits.toLocaleString() }}

Spaces: {{ statistics.characters.spaces.toLocaleString() }}

Punctuation: {{ statistics.characters.punctuation.toLocaleString() }}

Special chars: {{ statistics.characters.special.toLocaleString() }}

Total: {{ statistics.characters.total.toLocaleString() }}

📊 Readability Scores

Flesch Reading Ease: {{ statistics.readability.flesch_reading_ease }}/100

Grade Level: {{ statistics.readability.flesch_kincaid_grade }}

Gunning Fog: {{ statistics.readability.gunning_fog }}

Coleman-Liau: {{ statistics.readability.coleman_liau }}

Reading Level Interpretation:

{{ statistics.readability.interpretation.flesch_reading_ease.level }}: {{ statistics.readability.interpretation.flesch_reading_ease.description }}

Education Level: {{ statistics.readability.interpretation.grade_level.level }} (Grade {{ statistics.readability.interpretation.grade_level.grade }})

⏱️ Time Estimates

Reading Time:

Slow reader: {{ statistics.time.reading.slow.formatted }} ({{ statistics.time.reading.slow.wpm }} wpm)

Average reader: {{ statistics.time.reading.average.formatted }} ({{ statistics.time.reading.average.wpm }} wpm)

Fast reader: {{ statistics.time.reading.fast.formatted }} ({{ statistics.time.reading.fast.wpm }} wpm)

Speaking Time:

Slow speech: {{ statistics.time.speaking.slow.formatted }} ({{ statistics.time.speaking.slow.wpm }} wpm)

Average speech: {{ statistics.time.speaking.average.formatted }} ({{ statistics.time.speaking.average.wpm }} wpm)

Presentation: {{ statistics.time.speaking.presentation.formatted }} ({{ statistics.time.speaking.presentation.wpm }} wpm)

📋 Most Common Words

💾 Export Results

⚠️ {{ error }}

ℹ️ About Text Statistics

Text Statistics provides detailed text analysis with basic counts, linguistic ratios, readability estimates, and reading or speaking time. It is intended for editorial review, documentation, classroom material, support content, and SEO preparation where both length and readability matter.

Analysis categories:

Basic statistics: Characters, words, sentences, paragraphs, and lines.
Advanced analysis: Average word length, average sentence length, lexical diversity, common words, and word-length distribution.
Character analysis: Letters, digits, punctuation, case distribution, and character frequency.
Readability scores: Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, Coleman-Liau, and Automated Readability Index.
Time estimates: Reading and speaking time at practical words-per-minute rates.

Readability metrics:

Flesch Reading Ease: Scores text on a 100-point scale where higher is usually easier.
Flesch-Kincaid Grade: Estimates a U.S. school grade level.
Gunning Fog Index: Estimates years of formal education needed for first-read comprehension.
Coleman-Liau Index: Uses characters per word and sentences per word.
Automated Readability Index: Uses characters per word and words per sentence.

References: Word and sentence detection is approximate for real-world Unicode text; the Unicode text segmentation standard describes why boundaries differ across scripts and punctuation patterns. For public accessibility work, compare readability scores with the W3C WCAG reading level guidance and human review.

Limitations: Readability formulas are heuristics. They can underrate technical accuracy, overrate short fragmented copy, and mis-handle code, abbreviations, brand names, and multilingual text.

API Usage Example:

POST /api/tools/text/text-statistics
Content-Type: application/json

{
    "text": "Hello world. Hello again.",
    "includeReadability": true,
    "includeSentiment": false
}