Extract numbers from any text
Pull every number out — configurable for negatives, decimals, and scientific notation. Optional sort and dedupe, sum shown live.
1 234.56 42 -15 1.5e3 -42 0.001 1234567
How to extract numbers
Pulls every numeric substring matching the configured pattern. Toggle support for negatives, decimals, and scientific notation.
- 01
Paste text
Receipts, log lines, scraped tables.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.anyUTF-8Unicodecode pointsliveinput · textraw · UTF-8$19.99 · 42 items
loaded · UTF-8UTF-8 · ready - 02
Toggle formats
Decimals (default), negatives (default), scientific notation (1.5e3).
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
formatslivememoisedoptionssnappyconfig · optionsset · live19.99 42
options applied · livelive - 03
Sum live
The stats row shows the running sum — useful for receipts, totals, or quick math.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.sumline endingswhitespacediff-cleanreproduciblemath · counted61.99 · readysum = 61.99
counted · livecounted - 04
Copy or download
Text or CSV (with header).
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copycsvclipboardtext/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 extract numbers
Anywhere numbers hide in prose.
Receipt totals
Sum all prices from a pasted receipt. 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-correctMetric logs
Pull every latency / count number from a log block. 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-cleanScraped tables
Convert tabular HTML into a sortable number list. 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 countsOrder IDs
Pull numeric IDs out of mixed-format strings. 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-awareTest fixtures
Generate numeric arrays from prose. 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-accurateQuick math
Sum dozens of numbers without a spreadsheet. 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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