Remove unwanted whitespace
Four modes — squash extra spaces, strip all whitespace, convert tabs to spaces, or remove blank lines.
hello world foo bar baz end
How to remove whitespace
Four different cleanups depending on what you need to strip. Pick the mode that matches your input mess.
- 01
Paste text
Drop messy text with extra spaces, tabs, or blank lines.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.any textUTF-8Unicodecode pointsliveinput · textmessy · UTF-8hello world
loaded · UTF-8UTF-8 · ready - 02
Pick mode
Extra: collapses runs to single space and trims line ends. All: removes every whitespace character. Tabs→space: converts tabs to single space. Blank lines: removes empty lines.
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
4 modeslivememoisedoptionssnappymode · optionsextra · livehello world
options applied · livelive - 03
Inspect result
Compare output to input by line count and bytes-removed.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.statsline endingswhitespacediff-cleanreproduciblediff · countedsaved · ready-3 bytes
counted · livecounted - 04
Copy or download
One click.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copyclipboardtext/plainblobclient-sideexport · copiedready · done✓ Copied
shipped · ready to shipsuccess
Text-processing fundamentals worth knowing
Tokenise with Unicode classes
Use \p{L}\p{N} with the u flag so accents, ideographs, and emoji count properly.
Normalise line endings
Convert \r\n to \n before diffing or hashing — Windows-vs-Unix endings produce phantom changes.
Mind invisible characters
Zero-width joiners, BOMs, and non-breaking spaces look identical to ASCII space. Strip them before comparison or storage.
Stream don’t slurp
For multi-megabyte text, iterate line-by-line rather than loading everything to memory — keeps the tab responsive.
Choose collation deliberately
Default JS sort is code-point order, not human alphabetical. Use Intl.Collator for locale-aware sorting.
Re-run after normalisation
NFC vs NFD changes byte length but not visible glyphs. String.prototype.normalize() before counts and comparisons.
When to remove whitespace
Anywhere stray spacing causes problems.
URL building
Strip all whitespace before encoding URLs or building slugs. Tokenisation uses Unicode property classes (\p{L}, \p{N}) with the u flag so accents, ideographs, and emoji code points all count correctly. Surrogate-pair-aware counts mean 🚀 weighs 1, not 2.
Unicode-correctTweet length
Squash extra spaces to fit character limits. Result updates as you type — paste and watch totals settle in milliseconds even on multi-megabyte inputs. Heavy work runs through a memoised reducer so the editor never janks.
diff-cleanConfig cleanup
Normalize tabs vs spaces in config files. Output normalises line endings to LF for clean diffs across platforms. Windows-vs-Unix CRLF mismatches disappear, which keeps git blame honest and review comments focused on real changes.
instant countsOCR cleanup
OCR often produces extra whitespace. Code-point counts are stable across NFC/NFD normalisation. Pair with the Reading Time Calculator to layer scan-time on top of raw counts, useful for editorial budgets and SEO meta-description limits.
platform-awareLog triage
Squash duplicate blank lines in noisy logs. All processing runs client-side — paste sensitive or pre-publish copy without it leaving the tab. The clipboard API writes UTF-8 text/plain so it survives transit to any editor or CMS.
code-point-accurateEmail signatures
Strip the extra blank lines from forwarded chains. Same input plus same options always produces identical output, so the tool is safe to embed in CI scripts or doc-generation pipelines without race conditions.
losslessFrequently asked questions
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