Text Tools

Text is the substrate of software: logs, config files, code snippets, IDs, payloads, and documentation. Developer productivity often comes down to how quickly you can transform text into the shape you need—without writing one-off scripts each time.

DevToolDock’s text tools cover high-frequency tasks: testing regular expressions, comparing text output, generating slugs, changing casing, removing duplicates, and more. These utilities are designed to keep your workflow moving when you’re debugging or preparing data for another system.

Use the curated list below, then jump to /tools and /all-tools when you need broader coverage.

Text utilities are especially valuable when you’re moving data between systems: turning a title into a URL slug, cleaning a list of values from a spreadsheet, or diffing two versions of output after a refactor. Small transformations like these add up quickly—and having a consistent place to do them saves time.

Tools included

Text Tools

Regex Tester

Test regular expressions and highlight matches.

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Text Tools

Regex Generator

Generate regular expressions from common patterns.

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Text Tools

Regex Explainer

Explain regular expressions in plain language.

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Text Tools

Text Diff Checker

Compare two texts and see differences.

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Text Tools

Remove Duplicate Lines

Remove duplicate lines from text.

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Text Tools

Sort Text Lines

Sort lines of text alphabetically.

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Text Tools

Word Counter

Count words, characters, and lines.

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Text Tools

Case Converter

Convert text to camelCase, snake_case, kebab-case, and more.

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Text Tools

Slug Generator

Generate URL-friendly slugs from text.

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Text Tools

Random String Generator

Generate random strings with configurable charset.

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Text Tools

Lorem Ipsum Generator

Generate placeholder lorem ipsum text.

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Text Tools

JSON Diff Viewer

Compare two JSON objects and show differences.

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Text Tools

Text Reverser

Reverse text by characters or by lines.

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Text Tools

Random Text Generator

Generate random words/sentences for test data.

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Common use cases

  • Debug regex validation rules and confirm matches against sample input.
  • Compare two versions of text output when refactoring or troubleshooting.
  • Generate URL-friendly slugs from titles and headings for content and routing.
  • Convert casing (snake_case, camelCase, etc.) when moving between systems.
  • Clean up text data: remove duplicates, sort lines, and count words quickly.

Final thoughts

Text utilities are small, but they remove daily friction. Keeping them in one place makes it easier to solve problems quickly and consistently.

For related workflows, explore the Regex landing pages and the Encoding tools—these categories often pair naturally with text processing tasks.

If you’re debugging payloads, a typical flow is: decode (URL/Base64) → format (JSON) → validate (regex/UUID/etc.). DevToolDock is designed so those steps are a click away from each other.