Whitespace Remover

Drop in messy text and pick which whitespace to clean: collapse multiple spaces to one, trim leading and trailing spaces from each line, remove blank lines entirely, normalize tabs to spaces (or vice versa), strip non-breaking spaces that snuck in from a copy-paste.

Useful when you've copied text from a PDF, a Word document, or a web page and the formatting brought along ragged whitespace that makes diffs and edits painful. A pass through this cleans the input down to canonical ASCII whitespace before you do anything else with it.

For code, be careful. Removing all whitespace from Python or YAML breaks the file — those languages use indentation as syntax. Use the 'preserve indentation' option, which only collapses whitespace inside lines and trims trailing space without touching leading space.

The whitespace characters the tool handles: regular space (U+0020), tab (U+0009), newline (U+000A), carriage return (U+000D), non-breaking space (U+00A0), zero-width space (U+200B), narrow no-break space (U+202F), figure space (U+2007), and a handful of other Unicode whitespace characters that PDFs and word processors use to fine-tune layout. Each gets normalized or stripped based on which mode you pick. For most purposes 'collapse and trim' is the right setting — replaces all runs of whitespace with single ASCII spaces, removes leading/trailing whitespace from each line.

Worked example: paste text copied from a PDF: ' This is a sentence with weird spacing.\n\n\n And another. '. After 'collapse multiple spaces' + 'trim leading/trailing': 'This is a sentence with weird spacing.\n\nAnd another.' Now apply 'remove blank lines': 'This is a sentence with weird spacing.\nAnd another.' One pass produced clean, canonical text. For code, the same input with leading whitespace as indentation would lose its indentation under the default settings — toggle 'preserve indentation' to keep leading whitespace intact while still cleaning trailing and inline weirdness.

Where whitespace cleanup goes wrong: removing whitespace from data formats that depend on it. CSV files with quoted fields containing intentional whitespace (' Hello ' vs 'Hello'). Tab-separated values where tabs are the field delimiter — converting to spaces breaks the format. Code files where indentation structure carries meaning. Always look at the format's rules before bulk-cleaning. For 'I just want clean readable text' use cases, 'collapse and trim' is the safe default. For everything else, run preview before applying.

For diff-friendly cleanup, run whitespace normalization before any commit. EditorConfig and pre-commit hooks (prettier, EOL normalizer) automate this — set them up once and never paste-clean again. Mixed line endings, trailing whitespace, and tabs-vs-spaces inconsistency are the three issues that produce noisy diffs and merge conflicts; eliminate them at write-time and your version control history stays clean.