Trim whitespace from every line
Strip leading, trailing, or both-sides whitespace from every line. Preserves line count and structure.
hello world another line tabbed line spaced line
How to trim whitespace from text
Each line is processed independently. Both = String.prototype.trim(), Left = trimStart(), Right = trimEnd().
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Paste text
Each line is processed separately. Tabs and spaces both count as whitespace.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.per-lineUTF-8Unicodecode pointsliveinput · textraw · UTF-8hello
loaded · UTF-8UTF-8 · ready - 02
Choose side
Both / Left / Right. Both is most common.
bothleftrightsidebothhello
trimmed - 03
Line structure preserved
Number of lines doesn't change — only the whitespace on each.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.preserveline endingswhitespacediff-cleanreproduciblelines · countedkept · readyline A line B
counted · livecounted - 04
Copy or download
One-click copy or download as plain text.
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 trim text
Anywhere stray whitespace causes problems.
Email lists
Trim before validating email addresses. 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-correctCSV cleanup
Cells often arrive with extra padding from spreadsheets. 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 lines
Strip indentation before parsing key=value configs. 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 countsLog triage
Normalize indented log lines for diff/sort. 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-awareCode paste
Clean up code copied from PDFs or emails. 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-accurateForm input
Trim before comparing usernames or slugs. 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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