Free Text Processing Tool

Text Sorter

Sort lines, words, and paragraphs alphabetically, numerically, by length, or at random. 20+ sorting modes including natural sort, custom delimiter sorting, accent normalisation, and duplicate removal — all processed instantly in your browser with no data ever leaving the page.

A → Z & Z → A Natural Sort By Length By Word Count Shuffle Custom Delimiter Sort Words Sort Paragraphs Remove Duplicates Accent Normalisation

Line Sorting

By Length / Count

Word & Paragraph

Case Mode

Sort Order

Sort Type

Sort By

Custom Delimiter

Sort by the text after the first occurrence of this character

Mode

Line Cleanup

Comparison Filters

Output Format

Ready

Input

Paste or type your text

Output

Sorted result

Total Lines 0
Total Words 0
Characters 0
Unique Lines 0
Longest Line 0
Shortest Line 0
Avg Line Length 0
File Size 0 B
Process Time

About This Tool

What Is a Text Sorter?

Instant line sorting

A text sorter takes a block of text and rearranges every line according to a chosen rule — alphabetical order, numeric value, line length, word count, or a completely random shuffle. Every sort runs in your browser with no server round trip, delivering results in milliseconds even for very large files.

Beyond simple A–Z

Modern text sorting goes far past a basic alphabetical pass. Natural sort handles mixed text and numbers correctly so "item 10" sorts after "item 9" instead of after "item 1". Custom delimiter sorting lets you sort CSV or log lines by any column, and accent normalisation ensures "café" and "cafe" are grouped correctly.

Browser-only privacy

Every operation — sorting, deduplication, accent stripping, shuffling — happens entirely inside your browser tab. No text is uploaded, logged, or stored on any server. The tool continues to work fully offline once the page has loaded, making it safe for sensitive data and proprietary content.

Sorting Methods

Different Types of Text Sorting

Alphabetical sort

The classic A–Z or Z–A sort using locale-aware string comparison. Works correctly with language-specific character orders and diacritics when accent normalisation is disabled, ensuring predictable results across all character sets.

Natural sort

Treats embedded numbers as numeric values rather than character sequences. "File 10" sorts after "File 9", not before it. Essential for file names, version strings, numbered lists, and any text where number order matters.

Length sort

Orders lines by their character count — shortest first or longest first. Useful for identifying outlier lines in log files, finding the longest product names in a dataset, or organising lists by visual density before layout work.

Word count sort

Reorders lines by the number of words each contains, from fewest to most or vice versa. Ideal for ranking sentences by length, ordering product features by description depth, or identifying terse versus verbose entries.

Custom delimiter sort

Enter any character — comma, pipe, tab, semicolon — and lines are sorted by the text that appears after the first occurrence of that delimiter. Perfect for sorting CSV columns, log entries with prefixes, or colon-separated key–value pairs.

Random shuffle

Applies an unbiased Fisher–Yates shuffle to completely randomize the line order. Use it to create random question sequences, mix playlist entries, generate randomised test data, or remove any existing ordering bias from a list.

Sorting Deep Dive

Alphabetical vs Natural Sorting

The number ordering problem

Standard alphabetical sort compares characters one by one, so "10" sorts before "2" because the character "1" comes before "2". This produces counter-intuitive results for any list that mixes text with numbers: file1, file10, file2, file20, file3 — not the order a human would expect.

How natural sort fixes this

Natural sort detects numeric substrings and compares them as integers while sorting non-numeric parts alphabetically. The result is file1, file2, file3, file10, file20 — the human-expected order. It handles version numbers, product SKUs, chapter headings, and any numbered list items correctly.

When to use which

Use alphabetical sort for purely textual lists — tags, categories, names — where there are no embedded numbers. Use natural sort for file names, software versions, numbered items, and mixed text-number codes like "INV-9" vs "INV-10". Both modes respect your case and accent settings.

Input: mixed list with numbers chapter 10 chapter 2 chapter 1 chapter 20 chapter 9
Natural sort output (correct) chapter 1 chapter 2 chapter 9 chapter 10 chapter 20
Input: accented words mixed in zebra cafe élan apple café
A–Z with accents ignored apple cafe café élan zebra

Practical Applications

Sorting Text for SEO and Data Cleanup

Keyword list management

Sort keyword research exports alphabetically to spot redundant entries, group related terms, and find coverage gaps at a glance. Combine with duplicate removal to clean merged lists from multiple research tools before uploading to your rank tracker or ad platform.

Sitemap and URL organisation

Sort URL lists from crawl exports alphabetically or by path depth to identify orphaned pages, spot URL structure inconsistencies, and prepare clean lists for redirect mapping or canonicalization audits in bulk workflows.

Data deduplication pipeline

Sort first — bringing duplicates together — then enable duplicate removal in a single pass. Sorting before deduplication is especially useful when entries vary in case or have leading spaces, as trim-and-sort brings near-identical lines adjacent for a clean result.

Use Cases

Common Text Sorting Use Cases

Developers

Sort import statements, CSS properties, and JSON object keys alphabetically. Alphabetise .gitignore patterns, environment variable lists, and dependency arrays. Natural sort version tags and release notes in chronological order without manual effort.

Content writers

Sort paragraphs alphabetically to build glossaries or FAQ sections quickly. Organise bullet lists from shortest to longest for visual balance. Shuffle interview questions or survey items to reduce ordering bias in your content.

Data analysts

Pre-sort text columns before merging datasets. Clean up category values exported from BI tools, then remove duplicates in a single pass. Sort numeric log values naturally before feeding them into processing scripts for accurate results.

SEO professionals

Alphabetise keyword lists, sort anchor text libraries, and organise meta description drafts by character count to find any that exceed recommended limits. Custom delimiter sort handles CSV keyword research exports with precision.

System administrators

Sort and deduplicate hosts files, firewall rules, crontab entries, and log output. Use natural sort to handle IP addresses and version strings correctly. Sort configuration blocks by key name to make diffs readable and auditable.

Educators & researchers

Shuffle question banks to generate unique exam variants. Alphabetise bibliography entries, sort citation keys, and organise tagged notes by topic. Random sort participant lists to eliminate selection bias in experimental study designs.

FAQs

Text Sorter Questions

Does this tool send my text to a server?

No. All sorting, filtering, and processing runs entirely in your browser using JavaScript. Your text never leaves the page and nothing is transmitted to any remote server. The tool works offline once the page has loaded, making it safe for confidential and proprietary content.

What is natural sorting and when should I use it?

Natural sorting treats embedded numbers as numeric values rather than character sequences. "File 10" sorts after "File 9" instead of before it. Use natural sort for file names, version numbers, numbered list items, IP addresses, and any list where you have mixed text and numbers and want human-expected ordering.

How does custom delimiter sorting work?

Enter a delimiter character in the Advanced tab — for example a comma, pipe, or colon. When sorting, each line is split at the first occurrence of that character and the sort key becomes the text after the delimiter. "Name: Zebra" and "Name: Apple" are sorted based on "Zebra" and "Apple", placing Apple first. This is equivalent to sorting by a specific column in a delimited file.

What does "Ignore Accents / Unicode" do?

It normalises letters with diacritical marks to their base ASCII equivalents for the purpose of comparison only — "é" becomes "e", "ñ" becomes "n", "ü" becomes "u". The original accented text is preserved in the output; only the sort key is modified. This ensures "café" sorts alongside "cat" and "cab" rather than being grouped after plain-ASCII "c" words.

Can I sort numbers correctly instead of as text?

Yes. Select "Numerical" as the Sort Type in the Advanced tab. Lines are sorted by their leading numeric value so "100 apples" sorts after "9 apples" instead of before it. For lists that mix text and numbers throughout a line, "Natural Sort" in the Sort Mode tab is usually the better choice and handles more complex patterns.

What is the difference between "Sort Words" and "Sort Lines"?

"Sort Lines" reorders entire lines relative to each other — the line as a whole becomes the unit. "Sort Words A→Z" keeps each line in its original position as a line but rearranges the individual words within that line alphabetically. "banana cherry apple" becomes "apple banana cherry" while remaining a single output line.

How does "Sort Paragraphs" work?

The tool splits your text on double blank lines, treating each resulting block as one unit, then sorts those blocks alphabetically by the first line of each paragraph. The internal line order within each paragraph is preserved. The blank-line separators between paragraphs are also preserved in the output.

Is there a file size limit?

There is no enforced limit. All processing happens in your browser, so practical limits depend on your device memory. Most modern computers handle hundreds of thousands of lines without noticeable slowdown. For very large files processing degrades gracefully as the browser works through the data.