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Text Transformation Workbench

Run 34 case, line, extraction and inspection operations without uploading the pasted text.

Current operationURL slugTurn words into a lowercase hyphenated slug.

Input

0 chars · 1 line

Output

Not run
Choose an operation, paste text, then run it.

Privacy boundary: EasyTool does not receive the input or output. Optional analytics record only the selected operation and a success event after consent.

Choose by task

Case and identifiers

Change capitalization or turn prose into code-friendly identifiers.

Lines and cleanup

Clean, sort, decorate, measure or reorder newline-delimited text.

Extract and inspect

Pull common tokens from pasted text or summarize character usage.

Why one workbench is safer than a chain of single-purpose pages

Text cleanup is usually a sequence: normalize whitespace, remove empty lines, deduplicate, sort, then add a prefix. Keeping the operations in one page lets you move the output back to the input without copying text through multiple sites. The selected mode is stored only in the URL query so an old bookmarked operation opens directly; the text itself is never placed in the URL.

Behavior you should verify

  • Case and identifier transforms: browser Unicode case rules can expand or change characters, while identifier modes remove punctuation and combining marks. Confirm names against the target language or database rules.
  • Line operations: input line endings are normalized to LF. Deduplication is exact and case-sensitive; sorting uses the browser locale rather than byte order.
  • Extractors: results are pattern matches, not proof that an email, URL, hashtag or IP address exists, is reachable or is safe.
  • Random shuffling: the workbench uses crypto.getRandomValues, but a shuffled list is not a signed audit trail.

Reproducible use

  1. Select one operation or use a task card above.
  2. Load its example to see the exact expected input shape.
  3. Run the operation and inspect the visible result or error.
  4. Use the output as the next input only when chaining is intentional.

Primary specifications

Related focused tools

Text Diff compares two versions; Regex Tester debugs patterns; JSON Formatter validates structured data instead of treating it as plain text.