Text Cleaner & Normalizer API

Clean and normalize messy text content instantly. Remove extra whitespace, fix formatting, normalize Unicode, and standardize text for perfect data processing and analysis.

✓ 15+ cleaning operations

✓ Unicode normalization

✓ Preserve text structure

🚀 Start Cleaning Text for Free

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

How to Clean and Normalize Text

Input: Messy Text

   Hello    World!   

This  is    a    messy     text    

  with    extra     spaces   and    

    weird    formatting...    

Email: user@example.com

Raw text with inconsistent spacing, extra line breaks, and formatting issues commonly found in scraped content or user input.

Output: Clean Text

Hello World!

This is a messy text

with extra spaces and

weird formatting...

Email: user@example.com

Clean, normalized text with proper spacing, consistent line breaks, and professional formatting ready for processing.

Text Cleaning Operations

🔧 Whitespace Normalization

Before: "Hello world with spaces"

After: "Hello world with spaces"

📝 Line Break Cleanup

Before: Multiple blank lines

After: Single line breaks between paragraphs

🔤 Unicode Normalization

Before: Mixed Unicode forms: "café"

After: Standardized Unicode: "café"

🚫 Special Character Removal

Before: "Text with †‡•‰ symbols"

After: "Text with symbols"

✂️ Trim & Deduplication

Before: Leading/trailing spaces

After: Clean trimmed text

📐 Format Standardization

Before: Inconsistent punctuation

After: Standardized spacing and punctuation

API Usage Examples

Basic Text Cleaning

curl -X POST https://api.t3xtr.org/api/text-clean \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: text/plain" \
  -d "   Hello    World!   

This  has    extra   spaces   "

# Response
Hello World!

This has extra spaces

Advanced Cleaning Options

curl -X POST https://api.t3xtr.org/api/text-clean \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "   Messy    text   with   issues   ",
    "options": {
      "removeExtraSpaces": true,
      "normalizeLineBreaks": true,
      "trimWhitespace": true,
      "normalizeUnicode": true
    }
  }'

Bulk Text Processing

curl -X POST https://api.t3xtr.org/api/text-clean \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "texts": [
      "   First   messy   text   ",
      "  Second    text   with   issues  ",
      "Third    example    text"
    ],
    "options": {
      "removeExtraSpaces": true
    }
  }'

Common Text Cleaning Use Cases

🕷️ Web Scraping Cleanup

Clean scraped web content by removing HTML artifacts, extra whitespace, and formatting inconsistencies.

Perfect for: Content extraction, data mining, article processing

📊 Data Preprocessing

Normalize text data for machine learning, analytics, and database storage with consistent formatting.

Perfect for: ML datasets, data analysis, CSV processing

👤 User Input Sanitization

Clean user-generated content from forms, comments, and surveys to ensure consistent data quality.

Perfect for: Form processing, comment systems, survey data

📄 Document Processing

Standardize extracted text from PDFs, Word documents, and other file formats for consistent processing.

Perfect for: Document digitization, OCR cleanup, file conversion

🔍 Search Optimization

Prepare text content for search indexing by normalizing formatting and removing noise characters.

Perfect for: Search engines, content indexing, SEO optimization

📧 Email Processing

Clean email content by removing extra line breaks, normalizing quotes, and standardizing formatting.

Perfect for: Email parsing, newsletter processing, customer support

Programming Language Examples

JavaScript/Node.js

const response = await fetch('https://api.t3xtr.org/api/text-clean', {
  method: 'POST',
  headers: {
    'X-API-Key': 'YOUR_API_KEY',
    'Content-Type': 'text/plain'
  },
  body: '   Messy    text   content   '
});
const cleaned = await response.text();

Python

import requests

response = requests.post(
    'https://api.t3xtr.org/api/text-clean',
    headers={'X-API-Key': 'YOUR_API_KEY'},
    data='   Messy    text   content   '
)
cleaned = response.text

PHP

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.t3xtr.org/api/text-clean');
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, '   Messy    text   content   ');
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    'X-API-Key: YOUR_API_KEY'
]);
$cleaned = curl_exec($ch);

Java

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

Why Use T3XTR for Text Cleaning?

🎯 15+ Cleaning Operations

Comprehensive text cleaning including whitespace normalization, Unicode standardization, and special character handling.

⚡ Ultra Fast Processing

Clean text in under 50ms. Perfect for real-time applications and high-volume text processing pipelines.

🔧 Customizable Options

Fine-tune cleaning operations with configurable options to match your specific data requirements.

🌍 Unicode Support

Handle international text correctly with proper Unicode normalization and character encoding.

📊 Bulk Processing

Process multiple texts in a single API call. Handle up to 1000 texts per request for efficient batch operations.

🛠️ Developer Friendly

Simple REST API with comprehensive documentation. Works with any programming language and framework.

Frequently Asked Questions

What cleaning operations are available?

T3XTR offers 15+ cleaning operations including whitespace normalization, line break cleanup, Unicode standardization, and special character removal.

Can I customize cleaning settings?

Yes! Use the options parameter to enable/disable specific cleaning operations based on your data requirements.

Does it handle Unicode text?

Absolutely! T3XTR properly handles Unicode normalization, ensuring consistent character encoding across different languages.

What's the maximum text size?

You can clean up to 5MB of text per request, suitable for processing large documents and datasets.

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