Text Statistics & Analysis API

Analyze comprehensive text statistics instantly. Get word count, character count, reading time, readability scores, language detection, and detailed content metrics for content optimization and analysis.

✓ 25+ text metrics

✓ Readability analysis

✓ Language detection

🚀 Start Analyzing for Free

✓ 100 free analyses monthly ✓ No credit card ✓ Instant setup

How to Analyze Text Statistics

Input: Sample Text

The quick brown fox jumps over the lazy dog. This pangram contains every letter of the English alphabet at least once. It's commonly used for testing fonts, keyboards, and text processing systems.

Readability is important for content creation. Short sentences are easier to read. Complex vocabulary can reduce comprehension.

Any text content that you want to analyze for statistics, readability, and content metrics.

Output: Comprehensive Statistics

{
  "basic": {
    "characters": 284,
    "charactersNoSpaces": 234,
    "words": 46,
    "sentences": 6,
    "paragraphs": 2
  },
  "readability": {
    "fleschScore": 72.3,
    "fleschLevel": "Standard",
    "gunningFog": 8.2,
    "colemanLiau": 9.1
  },
  "timing": {
    "readingTime": "11 seconds",
    "speakingTime": "26 seconds"
  },
  "language": {
    "detected": "en",
    "confidence": 0.99
  }
}

Detailed statistics including readability scores, timing estimates, and language detection with confidence levels.

Available Text Metrics

📊 Basic Counts

Characters, words, sentences, paragraphs

📖 Readability

Flesch-Kincaid, Gunning Fog, Coleman-Liau

⏱️ Time Estimates

Reading time, speaking time

🌍 Language

Detection with confidence score

📝 Complexity

Average word length, sentence length

🔤 Vocabulary

Unique words, lexical diversity

API Usage Examples

Basic Text Analysis

curl -X POST https://api.t3xtr.org/api/text-stats \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: text/plain" \
  -d "The quick brown fox jumps over the lazy dog. This is a sample text for analysis."

# Response
{
  "basic": {
    "characters": 81,
    "words": 16,
    "sentences": 2,
    "paragraphs": 1
  },
  "readability": {
    "fleschScore": 83.2,
    "fleschLevel": "Easy"
  },
  "timing": {
    "readingTime": "4 seconds"
  }
}

Detailed Analysis with Options

curl -X POST https://api.t3xtr.org/api/text-stats \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Your content here...",
    "options": {
      "includeReadability": true,
      "includeLanguage": true,
      "includeTiming": true,
      "includeComplexity": true
    }
  }'

Batch Text Analysis

curl -X POST https://api.t3xtr.org/api/text-stats \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "texts": [
      {"id": "article1", "content": "First article content..."},
      {"id": "article2", "content": "Second article content..."},
      {"id": "article3", "content": "Third article content..."}
    ],
    "options": {
      "includeReadability": true
    }
  }'

Common Text Analysis Use Cases

📝 Content Marketing

Analyze blog posts, articles, and marketing content for optimal readability and engagement metrics.

Perfect for: SEO optimization, content strategy, audience targeting

🎓 Educational Content

Ensure educational materials match appropriate reading levels for target audiences and grade levels.

Perfect for: E-learning platforms, textbooks, training materials

📧 Email Campaigns

Optimize email content for readability, engagement, and mobile-friendly consumption.

Perfect for: Email marketing, newsletters, automated campaigns

📊 Content Analytics

Track content metrics across websites, apps, and platforms for data-driven content decisions.

Perfect for: CMS integration, content audits, performance tracking

🔍 SEO Optimization

Analyze content readability and structure for better search engine rankings and user experience.

Perfect for: SEO tools, content optimization, SERP performance

📱 App Content

Ensure in-app content, notifications, and user interface text are optimally readable and engaging.

Perfect for: Mobile apps, UX writing, notification optimization

Readability Scores Explained

📊 Flesch Reading Ease

90-100: Very Easy (5th grade)

80-89: Easy (6th grade)

70-79: Fairly Easy (7th grade)

60-69: Standard (8th-9th grade)

Below 60: Difficult (college level)

🌫️ Gunning Fog Index

6: 6th grade reading level

8: 8th grade reading level

12: High school senior level

16: College level

20+: Graduate level

⏱️ Reading Time

Average: 200-250 words per minute

Fast: 300+ words per minute

Slow: 150-200 words per minute

Speaking: 125-150 words per minute

Programming Language Examples

JavaScript/Node.js

const response = await fetch('https://api.t3xtr.org/api/text-stats', {
  method: 'POST',
  headers: {
    'X-API-Key': 'YOUR_API_KEY',
    'Content-Type': 'text/plain'
  },
  body: 'Your text content to analyze here...'
});
const stats = await response.json();

Python

import requests

response = requests.post(
    'https://api.t3xtr.org/api/text-stats',
    headers={'X-API-Key': 'YOUR_API_KEY'},
    data='Your text content to analyze here...'
)
stats = response.json()

PHP

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.t3xtr.org/api/text-stats');
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, 'Your text content to analyze here...');
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    'X-API-Key: YOUR_API_KEY'
]);
$stats = json_decode(curl_exec($ch), true);

Java

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.t3xtr.org/api/text-stats"))
    .header("X-API-Key", "YOUR_API_KEY")
    .POST(HttpRequest.BodyPublishers.ofString("Your text content to analyze here..."))
    .build();
    
String stats = client.send(request, 
    HttpResponse.BodyHandlers.ofString()).body();

Why Use T3XTR for Text Statistics?

📊 25+ Metrics

Comprehensive analysis including basic counts, readability scores, complexity metrics, and language detection.

⚡ Lightning Fast

Analyze text in under 100ms. Perfect for real-time applications and high-volume content processing.

🎯 Readability Focus

Industry-standard readability formulas including Flesch-Kincaid, Gunning Fog, and Coleman-Liau indices.

🌍 Multi-Language

Automatic language detection with confidence scores for over 100 languages and locales.

📁 Batch Processing

Analyze multiple texts simultaneously. Process up to 50 texts per request for efficient bulk analysis.

🛠️ Developer Friendly

Simple REST API with flexible options. Works with any programming language and content management system.

Frequently Asked Questions

What readability metrics are included?

T3XTR provides Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, and custom readability scores.

Can it detect the language of text?

Yes! T3XTR can detect over 100 languages with confidence scores, perfect for multilingual content analysis.

How accurate are the reading time estimates?

Reading times are based on average speeds (200-250 WPM) and can be customized for different audiences and content types.

What's the maximum text size for analysis?

You can analyze up to 1MB of text per request, suitable for books, long articles, and comprehensive documents.

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