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Text Sorter

Sort lines alphabetically, numerically, by length, or shuffle them. Remove duplicates and empty lines with one click.

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What Is Text Sorting?

Text sorting is the process of arranging lines of text in a specific order. Just like organizing a playlist alphabetically or sorting files by date, text sorting helps you organize data quickly and efficiently.

Whether you're cleaning up a list of names, organizing product data, or preparing content for import, sorting is one of the most common data manipulation tasks.

Types of Sorting Explained

Alphabetical Sort The classic A-Z ordering. Works great for names, words, and general text.

  • Apple, Banana, Cherry → sorted alphabetically

Numerical Sort Sorts by the number value, not the text representation.

  • 1, 2, 10, 20 (numerical) vs 1, 10, 2, 20 (alphabetical)

Natural Sort (Smart) Combines alphabetical and numerical sorting intelligently.

  • file1, file2, file10, file20 → sorted naturally
  • Alphabetical would give: file1, file10, file2, file20

By Length Sorts by how many characters each line contains.

  • Useful for finding short/long entries

Removing Duplicates

Duplicate entries can cause problems in databases, mailing lists, and data analysis. Our "Remove Duplicates" feature:

  1. Identifies lines that appear more than once
  2. Keeps only the first occurrence
  3. Reports how many duplicates were removed

Case Sensitivity: When enabled, "Apple" and "apple" are treated as different items. When disabled, they're considered duplicates.

Common Use Cases

For Developers:

  • Sort configuration values
  • Organize import statements
  • Clean up log files
  • Prepare test data

For Data Analysts:

  • Clean CSV data before import
  • Remove duplicate entries from lists
  • Prepare data for merging

For Content Creators:

  • Organize keyword lists
  • Sort hashtags
  • Clean up content inventories

For Everyone:

  • Sort shopping lists
  • Organize to-do items
  • Clean up contact lists

Pro Tips

  1. Always backup your original data before sorting
  2. Use Natural Sort for mixed text/number data (like "item1, item2, item10")
  3. Enable Remove Empty Lines to clean up messy data
  4. Shuffle is great for randomizing quiz questions or playlist order
  5. Use Case Sensitive when uppercase/lowercase distinction matters