Check if a sentence is a pangram
A pangram uses every letter at least once. Defaults to Latin a-z but supports custom alphabets.
How to check pangrams
Counts how many letters of the alphabet appear in the input. Custom alphabets supported for other scripts.
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Type sentence
Any text — the classic 'The quick brown fox' uses 35 letters.
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 · textraw · UTF-8The quick brown fox…
loaded · UTF-8UTF-8 · ready - 02
Pick alphabet
Default a-z. Customize for other languages (e.g. add ä ö ü for German).
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
customlivememoisedoptionssnappyalphabet · optionsa-z · liveabcdefghijklmnopqrstuvwxyz
options applied · livelive - 03
Coverage grid
Each letter shows green (present) or red (missing). Missing letters listed below.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.coverageline endingswhitespacediff-cleanreproduciblegrid · countedvisual · readya✓ b✓ c✓ … z✓
counted · livecounted - 04
Verdict
✓ if all alphabet letters used; ✗ otherwise.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.resultclipboardtext/plainblobclient-side✓ · copiedpangram · done✓ Pangram
ready · 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 check pangrams
Font/typeface testing, puzzles, learning.
Font preview
Show every letter of a custom font. 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-correctKeyboard test
Verify all keys work on a typewriter / keyboard. 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-cleanChildren's games
Construct sentences that use all letters. 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 countsTyping tests
Verify a test paragraph covers all letters. 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-awareCalligraphy practice
Cover every letter in one practice piece. 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-accurateCipher tests
Test that a cipher works on all letters. 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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