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Sorting and sanitising text lines is a core stage in data cleaning, code management, and content publishing workflows. An ordered list reduces cognitive load, reveals hidden duplicates, and prepares material for downstream automation, including diff tools, static-site generators, and analytical pipelines where deterministic sequence matters, supporting strict quality assurance routines daily.
This browser-based utility receives any multiline text—typed, pasted, or uploaded—and immediately reorders the lines according to seven modes: standard alphabetical, natural alphanumeric, character-length ascending, full reversal, and entropy-based shuffle, each optionally conditioned by case sensitivity, duplicate suppression, blank removal, and edge trimming. Copy or download both the sorted output and a concise statistical summary for audit or reporting use.
Paste a product inventory exported from an e-commerce backend, toggle unique lines and natural order, then choose Copy TXT to inject a clean, deduplicated, human-logical list into your CMS pipeline; all processing occurs locally, so files never leave your device, avoiding cloud compliance headaches while also reducing manual proofreading cycles during content launches.
Line-level ordering transforms an arbitrary sequence $begin:math:text$L$end:math:text$ into a deterministic sequence $begin:math:text$S$end:math:text$ that satisfies a well-defined total or partial order. Determinism enables binary diffing, hash generation, and reproducible builds, while optional deduplication enforces set semantics that eliminate redundant cognitive load during review. Natural alphanumeric comparison respects embedded integers, yielding domain-friendly ordering for filenames such as “Chapter 2” and “Chapter 10”. A locale-aware collation engine underpins all comparisons, providing predictable behaviour across diverse character sets and diacritics.
Pre-processing stages—whitespace trimming, blank-line filtering, and case normalisation—operate as idempotent pure functions, ensuring that repeated runs yield identical output. Duplicate removal employs a hash-set keyed by either raw or case-folded content, achieving average-case O(1) membership checks. Reversal and shuffle modes deliberately break lexical order to meet specialised needs such as last-in-first-out stacks or unbiased sampling.
where L is the input list, m the selected mode, and o the option set.
Symbol | Meaning | Unit | Typical Range | Sensitivity |
---|---|---|---|---|
L | Original line array | lines | 1 – 100 000 | linear |
m | Sort mode | enum | 7 modes | high |
ocs | Case sensitivity flag | boolean | 0/1 | medium |
oun | Unique filter flag | boolean | 0/1 | medium |
otb | Trim and blank removal | boolean | 0/1 | low |
Resulting sequence S = { a, b, c }; duplicates removed, order preserved by locale-aware comparison.
Math.random()
; cryptographic randomness is not guaranteed.undefined
, mapping to the browser setting; results vary with user locale.The underlying collation engine executes comparison in O(1), yielding overall O(n log n) complexity for sort modes and O(n) for reversal or duplication checks. Memory footprint scales linearly with input size, as the algorithm operates on in-memory arrays to enable instant clipboard operations. Tested in current evergreen browsers, the component adheres to ES2020 standards and requires no server calls, ensuring offline availability.
Follow these steps to transform any collection of lines into a predictable sequence.
Natural sorting interprets embedded numbers as numerical values, so “file2” precedes “file10”, matching human expectations.
No. All processing happens in your browser memory and is cleared when you reload or close the tab.
The tool relies on a locale-aware collation engine that recognises diacritics and applies language-specific rules.
Yes. Modern browsers handle large arrays efficiently; expect near-instant results with typical workstation hardware.
Shuffle mode uses a non-cryptographic algorithm suitable for casual reshuffling but not for security-critical tasks.