Extract Numbers from Text

Use this free Extract Numbers from Text to quickly get accurate results in seconds, free and instantly offline with no signup required ever, trusted by professionals in Austin, Chicago, Miami, Denver, Seattle, and New York for reliable daily use without accounts, subscriptions, limits, or delays on any device for everyday personal and business workflows daily.

Use this free extract numbers from text tool to pull every integer and decimal out of your text, with count and sum totals shown instantly.

Calculator Inputs

About Extract Numbers

Use this free Extract Numbers from Text to quickly get accurate results in seconds, free and instantly offline with no signup required ever, trusted by professionals in Austin, Chicago, Miami, Denver, Seattle, and New York for reliable daily use without accounts, subscriptions, limits, or delays on any device for everyday personal and business workflows daily.

How number extraction works in seconds: Paste any text to capture integers, decimals, and negatives in order found, with optional unique-only dedupe. The tool lists every match plus count and sum for instant verification. Results appear instantly at $0 cost in your browser.

Why extraction matters for USA data work on 09/22/2026: Reports bury figures in prose — Order 42 items for $19.99 hides two numbers humans miss when skimming. Austin accountants pulling $12,000 invoice totals from email threads skip spreadsheet retyping. New York editors totaling 30-line expense reports verify sums before reimbursing $2,400 claims.

Unique mode and negatives: Toggle unique to collapse repeats — useful for ID lists where 42 appearing five times counts once. Leading minus signs are captured, so refunds and adjustments subtract correctly in the sum. Chicago analysts auditing dumps dedupe before pivoting to avoid double-counting.

The comma caveat: Thousands separators like 1,000 split into 1 and 000 — strip commas first for those figures. Miami shippers verifying $1,250 manifests remove commas in one pass, then extract cleanly. Decimals like 19.99 parse intact since the point is part of the pattern.

Verification workflows: Compare the extracted sum against stated totals to catch $100 typos before they ship. Denver researchers tallying 200 survey responses cross-check tool sums against form dashboards. Seattle devs pulling ticket IDs from logs pipe the comma list straight into queries.

Privacy and local parsing: All matching runs entirely in your browser with no text transmitted, logged, or stored. Scrape contracts, payroll pastes, and client data freely — sensitive figures never leave your machine.

Lab and load tallies: Boston labs pulling $9,000 reagent totals from vendor emails verify sums before purchase orders release funds. Dallas dispatchers tallying $7,000 weekly loads cross-check driver logs against extracted figures, catching $200 entry slips the same day on 09/22/2026.

Audit sampling: Philadelphia auditors sampling 500-line ledgers extract and sum in seconds, flagging pages where stated totals diverge for deep review. Phoenix utilities reading meter dumps total consumption across zones without opening spreadsheets. Atlanta coaches totaling season stats paste recaps straight into banquet slides.

Where it is used

Austin accountants scrape $12,000 invoice pastes, Chicago analysts audit data dumps, Miami shippers verify manifests, Denver researchers tally survey figures, Seattle devs extract IDs, and New York editors total expense reports Boston labs pull $9,000 reagent totals, San Francisco PMs parse sprint points, Dallas dispatchers tally $7,000 loads, Atlanta coaches total stats, Phoenix meters read usage, and Philadelphia auditors sample ledgers.

How to use the Extract Numbers

  1. Text — enter the value (e.g. Order 42 items for $19.99).
  2. Unique numbers only — enter the value.
  3. Calculate — press the Calculate button to see the result instantly above.

Formula

Regex -?\d+(\.\d+)? with optional Set dedupe.

Examples

Order line

inputText:Order 42 items for $19.99
unique:false
Result: 42, 19.99 (count 2, sum 61.99)

Dedupe IDs

inputText:IDs 7, 7, 12, 7
unique:true
Result: 7, 12 (count 2 unique)

Refund math

inputText:Charge 200, refund -45.50
unique:false
Result: 200, -45.50 (sum 154.50)

Frequently Asked Questions

Does it catch 1,000 style numbers?
Currently no — commas split the match into 1 and 000. Remove commas beforehand for thousands-style figures.
Negative numbers?
Yes, a leading minus is captured, so refunds and adjustments subtract correctly in the automatic sum.
What counts as a number?
Integers and decimals with optional leading minus, matched by regex in order found. Currency symbols and units are ignored.
Is my text stored anywhere?
No. All parsing runs locally in your browser. No pasted text is transmitted, logged, or stored on any server.
How does unique mode work?
It collapses exact repeats via dedupe, so 7 appearing five times counts once — ideal for ID lists and code inventories.
Can I copy the results?
Yes. The comma-separated list plus count and sum copy cleanly into spreadsheets, queries, and reports.