Extract Numbers From Text
Pull every number out of prose, logs, or CSV-ish text into a clean list — filter, de-duplicate, sort, and total them. Runs in your browser; nothing is uploaded.
About this tool
Extract Numbers From Text scans any block of text — prose, a log file, a pasted spreadsheet column, an invoice — and pulls out every number into a clean list. It recognises:
- Integers and decimals —
42,3.14,.5 - Scientific notation —
6.022e23,1.6E-19 - Signed numbers —
-7,+5(a hyphen glued to a preceding digit, as in a date like2024-01-15, is treated as a separator, not a minus sign) - Thousands-separated numbers —
1,000,1,299.99,1,000,000
Then it lets you shape the result:
- Keep — return all numbers, only integers (no decimal point), or only decimals.
- Remove duplicate values —
1,000and1000and+5/5collapse to one (first-seen wins). - Sort order — leave the numbers in the order they appear, or sort ascending or descending by value.
- Join output with — put one number per line, or separate them with a comma, space, tab, or semicolon (handy for pasting into a spreadsheet or CSV).
- Append summary — add a block with the count, sum, min, max, and average of the extracted numbers.
Everything runs locally in your browser via WebAssembly — your text is never uploaded.
Handy for
- Totalling the amounts scattered through an invoice, receipt, or email.
- Grabbing every metric out of a log line or monitoring dump.
- Turning a paragraph of figures into a clean comma-separated list for a spreadsheet.
Example (command line)
The same engine is available through the gizza CLI:
gizza tool extract-numbers-from-text text='Order 42 shipped for $1,299.99; weight 3.5kg' stats=true
returns the joined list (42, 1,299.99, 3.5) plus a summary with the count,
sum, min, max, and average.
Limitations
- Numbers are matched by their textual form, so spelled-out numbers
(
"forty-two"), Roman numerals, and fractions written as3/4are not extracted. - A
%,$,kg, or other unit next to a number is not captured — only the numeric part is returned. - De-duplication compares a normalized token (commas removed, leading
+removed, case-normalized), so1,000and1000collapse to one value. Tokens with different notation, such as5,5e0, and5.0, are kept separate.
FAQ
Does it understand numbers with commas like 1,000,000?
Yes. Thousands-separated numbers such as 1,000, 1,299.99, and 1,000,000
are recognised as single values, and the commas are kept in the extracted token
exactly as they appeared. When you turn on Remove duplicate values or
Append summary, the commas are stripped internally so 1,000 counts as the
same value as 1000 and totals add up correctly.
How are dates and negative numbers told apart?
A - or + only counts as a sign when the character before it is not a
letter or digit. So in -7 and +5 the sign is kept, but in a date like
2024-01-15 the hyphens are read as separators and you get 2024, 01, and
15 — not negatives. The same rule means a-5 and 5-3 yield plain positive
numbers.
Can I get only whole numbers or only decimals?
Yes — use the Keep option. Integers only returns tokens with no decimal
point (this includes scientific notation without a dot, like 5e2), Decimals
only returns tokens that contain a decimal point (like 2.5 or 4.0), and
All numbers returns everything.
What does the summary block include?
With Append summary enabled, the output ends with the count of numbers
returned, plus the sum, min, max, and average of their values.
Whole-number results are shown without a trailing .0, and the statistics are
computed after any filtering and de-duplication you applied.
Is my text uploaded anywhere?
No. The extraction runs entirely in your browser through WebAssembly — the text you paste never leaves your device, so it is safe to use on logs, invoices, or other private content.
Developer & Automation Access
Run it from the terminal
Same engine as this page, headless — via the gizza CLI:
gizza tool extract-numbers-from-text "Paste prose, a log, or CSV rows to pull numbers from…"New to the CLI? Get gizza →
Open it by URL
Pre-fill and auto-run this tool with query parameters — the names match the API/CLI:
https://gizza.ai/tools/extract-numbers-from-text/?text=Paste%20prose%2C%20a%20log%2C%20or%20CSV%20rows%20to%20pull%20numbers%20from%E2%80%A6&mode=all&unique=true&sort=original&delimiter=newline&stats=trueMachine-readable descriptor: tool.json — title + parameters JSON Schema for agents.