Truncate text to a max length
Cut text at N chars or N words, optionally snapping to the nearest word boundary. Configurable ellipsis.
Lorem ipsum dolor sit amet, consectetur adipiscing elit,…
How to truncate text
Cap text at a character or word limit, optionally snapping to the nearest word boundary so you don't cut mid-word.
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Paste text
Long prose, descriptions, post bodies.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.textUTF-8Unicodecode pointsliveinput · textlong · UTF-8Lorem ipsum dolor…
loaded · UTF-8UTF-8 · ready - 02
Set limit
Chars (280, 160, 155) or words (50, 100).
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
charswordslivememoisedoptionslimit · options60 chars · liveLorem ipsum…
options applied · livelive - 03
Word boundary
Avoid cutting mid-word. Falls back to char-exact if no boundary nearby.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.snapline endingswhitespacediff-cleanreproduciblesnap · countedboundary · readyLorem ipsum dolor…
counted · livecounted - 04
Copy or download
Per-line option for table cells.
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 truncate
Anywhere there's a length limit.
Meta descriptions
Keep under ~155 chars for Google search snippets. 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-correctCard previews
Truncate body text in card components. 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-cleanTweet thread split
Cut at 280 chars for individual tweets. 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 countsExcerpts
Generate consistent-length excerpts for archive pages. 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-awareTable cells
Per-line truncation for tabular display. 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-accuratePush notifications
Mobile push titles have ~178 char limits. 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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