Merge lists with set operations
Combine two lists using union, intersection, difference (both directions), or symmetric difference.
apple banana cherry date elderberry fig
How to merge two lists
Five classic set operations. Union for combining, intersection for common items, difference for what's unique to each side.
- 01
Paste both lists
One item per line in each panel.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.ABUTF-8Unicodecode pointsinput · text2 lists · UTF-8A: apple B: cherry
loaded · UTF-8UTF-8 · ready - 02
Pick operation
Union (everything once), Intersection (in both), Difference A−B (only in A), B−A (only in B), Symmetric (only in one).
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
5 opslivememoisedoptionssnappyop · optionsunion · liveapple, banana, cherry
options applied · livelive - 03
Toggle options
Case-insensitive matching, trim whitespace, sort the result.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.optionsline endingswhitespacediff-cleanreproducibleconfig · countedset · readyApple = apple
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 merge lists
Anywhere two lists need to be combined or compared.
Mailing list dedupe
Union two mailing lists without duplicates. 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-correctDiff allowlists
Find what's only in the old vs new allowlist. 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-cleanCommon subscribers
Intersect two newsletters' subscriber lists. 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 countsSchema migration
Find columns only in old schema vs new. 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-awareFeature flags
Find flags only enabled in one environment. 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-accurateDependency audit
Compare deps in two package.json files. 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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