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Text Manipulation Tools

Manipulate text efficiently. Convert case, find and replace, remove duplicates, sort lines, clean extra spaces, reverse text, split content, and remove punctuation or emojis.

9 min read
Updated 2025-12-13

Text manipulation transforms content format and structure. Converting case fixes formatting, find-replace updates terms globally, removing duplicates cleans lists, sorting organizes data, cleaning spaces fixes pasting errors, and removing elements simplifies content.

These tools handle common text transformations. Change case, find and replace text, remove duplicate words/lines, sort alphabetically, remove extra spaces/line breaks/punctuation/emojis, reverse text, and split into segments.

Perfect for writers editing documents, developers cleaning data, students formatting papers, content creators preparing posts, and anyone processing text regularly.

How to Use These Tools

Step-by-step guidance and best practices for getting the most out of this collection

Case conversion changes text capitalization: UPPERCASE (ALL CAPS), lowercase (all small), Title Case (First Letter Each Word), Sentence case (First letter only). The Text Case Converter handles these plus camelCase and snake_case for programming. Use UPPERCASE sparingly (headings, emphasis), Title Case for headlines, Sentence case for body text. Changing case fixes shouting text or improperly formatted titles. Some words (I, proper nouns) have case rules that tools may not handle perfectly.

Find and replace locates text and substitutes with different text globally. The Find and Replace tool offers case sensitivity, whole word matching, and regex support. Use for updating terms (changing product names, correcting misspellings), removing phrases, or format corrections. Replace supports blank (deletion). Preview changes before applying. Regular expressions enable advanced pattern matching but require learning syntax.

Duplicate removal eliminates repeated words or lines. Duplicate Word Remover finds consecutive repeated words (the the), while Duplicate Line Remover finds identical lines anywhere in text. Use word remover for editing mistakes, line remover for cleaning lists or datasets. Case sensitivity option preserves or ignores capitalization differences. Duplicate removal is irreversible, so keep originals.

Sorting organizes lines alphabetically (A-Z or Z-A) or numerically. The Sort Lines tool arranges lists, organizes data, or alphabetizes entries. Ascending (A-Z) is standard, descending (Z-A) for reverse. Case-sensitive sorting places capitals before lowercase. Number sorting treats lines as numbers rather than text. Use for organizing reference lists, cleaning datasets, or preparing sorted content.

Text splitting divides content by delimiter (comma, space, newline) or fixed length. The Text Splitter breaks CSV data, separates joined words, or chunks text for processing. Choose delimiter matching your data format. Fixed-length splitting works for equal segments. Preview splits before finalizing. Reverse operation (joining) often needed after processing split segments.

Popular Workflows

Common ways professionals use these tools together

Clean Copied Text

  1. 1

    Remove extra spaces

    Remove Extra Spaces

  2. 2

    Fix case if needed

    Text Case Converter

Update Document Terminology

  1. 1

    Find old term and replace with new

    Find and Replace

  2. 2

    Remove duplicate words from edits

    Duplicate Word Remover

Organize List

  1. 1

    Remove duplicate lines

    Duplicate Line Remover

  2. 2

    Sort alphabetically

    Sort Lines Alphabetically

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Frequently Asked Questions

When should I use Title Case vs Sentence case?

Use Title Case for headlines, titles, headings, and subheadings. Use Sentence case for body text, descriptions, and casual content. Title Case capitalizes major words (nouns, verbs, adjectives) but not articles/prepositions (unless first/last word). Sentence case only capitalizes first word and proper nouns. Style guides vary, so check relevant guide (AP, Chicago, APA).

Can find and replace use patterns?

Yes, with regular expressions (regex). Simple find-replace matches exact text. Regex enables pattern matching: \d+ finds any number, [A-Z]+ finds uppercase words, etc. Regex is powerful but requires learning syntax. Use simple find-replace for exact matches, regex for patterns or complex substitutions. Test regex with small samples first.

How do I remove only some punctuation?

Most punctuation removers delete all punctuation marks. For selective removal, use find and replace to remove specific marks (commas, periods, etc.) individually. Or remove all punctuation then add back needed marks. Consider whether spaces should replace removed punctuation to prevent word merging.

Does sorting respect numbers correctly?

Alphabetic sort treats numbers as text: 10 comes before 2 (character-by-character: 1 < 2). Numeric sort treats lines as numbers: 2 < 10. Choose sort type based on data. Alphanumeric data requires numeric sort. Mixed text-number content may need preprocessing (padding numbers with zeros: 002, 010).

Why does Title Case not capitalize all words?

Title Case follows rules: capitalize major words (nouns, verbs, adjectives, adverbs) but not articles (a, an, the), coordinating conjunctions (and, but, or), or short prepositions (in, on, at) unless first/last word. Rules vary slightly by style guide (AP vs Chicago). Some tools offer strict or liberal capitalization options.

Can I undo text manipulation?

Most browser tools do not save history. Use undo (Ctrl+Z / Cmd+Z) if available in tool. Best practice: keep original text in separate document before manipulating. Copy-paste into tool, manipulate, then paste results back. This preserves original for comparison or reversal if needed.

How do I split text into equal-length chunks?

Use Text Splitter with fixed-length option. Specify character count per chunk. Useful for SMS splitting (160 characters), tweet threads, or data processing. Be aware that splitting mid-word creates issues, so word-boundary splitting is preferable when meaningful chunks matter. Fixed-length works for arbitrary data processing.

What if duplicate removal removes intentional repetition?

Duplicate line remover finds exact matches, so intentional repetition with variation (different punctuation, slight wording changes) typically survives. Duplicate word remover only targets consecutive duplicates (typing errors). Review output after removal. For content with intentional repetition, manually edit duplicates to add slight variation before removal.

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