Count characters & bytes instantly
Live character count with UTF-8 byte awareness. Twitter (280) and SMS (160) limit indicators built in.
How to count characters and bytes
For tweets, SMS, database fields, and form validators — every byte matters. This tool counts characters (Unicode code points), bytes (UTF-8 encoded), and shows live limit indicators for Twitter and SMS.
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Paste your text
Updates live as you type. Emoji and astral characters count correctly as single graphemes.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.liveUnicodeUTF-8code pointsinput · texttext · UTF-8Hello 🌍
loaded · UTF-8UTF-8 · ready - 02
Read the count
Characters (code points), no-spaces, UTF-8 bytes, and lines all shown.
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
charsbyteslivememoisedoptionsstats · optionslive · live7 chars · 10 bytes
options applied · livelive - 03
Platform limits
Twitter (280), SMS (160) — turns red when over.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.TwitterSMSline endingswhitespacediff-cleanlimits · countedfits · ready7/280 · 7/160
counted · livecounted - 04
Copy or download
Export the full stats report as text or markdown.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copydownloadclipboardtext/plainblobexport · 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 count characters
Anywhere there's a hard character limit.
Tweets / X posts
280-char limit — confirm before posting. 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-correctSMS messages
160 chars per SMS — over that and you're charged for two. 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-cleanMeta descriptions
Google truncates around 155-160 chars. Stay under for SEO. 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 countsDatabase fields
VARCHAR(255), VARCHAR(64) — check before INSERT. 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-awareForm validators
Match your form's maxlength attribute. 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
iOS/Android push titles around 178 chars depending on platform. 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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