How do I extract all the numbers from a block of text?

Paste or type the text into the source box and the numbers appear in the output box the moment you stop typing. With the line 'Invoice 42 had 3 items at 19.99 each' you get 42, 3 and 19.99, one value per line. Switch the output to comma separated when you want to drop the list straight into a spreadsheet cell or a code array, and use the copy button to grab the whole result at once.

Does it read 1,234 as one number or as 1 and 234?

With the thousands separator toggle on, 1,234 is read as a single 1234 and 1,234.56 becomes 1234.56, which is what you want for money and large counts. Turn that toggle off and the comma is treated as a plain separator, so 1,234 splits into 1 and 234. Pick the mode that matches your source: financial reports usually want it on, while a list like 'rooms 1,234,512' that means three room numbers wants it off.

Can it handle negative numbers and decimals together?

Yes. The negatives toggle catches a leading minus, including the Unicode minus sign, so 'dropped to -7.5' returns -7.5 instead of 7.5. The decimals toggle controls the fractional part on its own, so you can keep negatives while stripping decimals if you only care about whole values. With both on, a temperature log reading '-7, -3.2, 0, 4.8' comes out exactly as those four signed numbers.

Can it add up or average the numbers it finds?

The stats row below the output shows count, sum, average, min and max recalculated live as you type or change options. Paste a column of expenses like '19.99, 4.50, 120, 8.25' and you immediately see a sum of 152.74 and an average of 38.185 without a spreadsheet. Dedupe and sort apply before the stats, so if you remove duplicates first the sum reflects only the unique values.

Does it understand scientific notation like 6.02e23?

Yes, when the scientific toggle is on it recognizes e-notation in both cases, so 6.02e23, 3.0e8 and 1E-3 are all parsed as real numbers. The output shows them in whatever form JavaScript renders, which for very large or very small magnitudes stays in exponential form. Turn the toggle off and the e is treated as a letter boundary, so 6.02e23 would read as 6.02 and 23 separately.

Sum a pasted column without opening a spreadsheet

You copied a list of line-item prices out of a PDF receipt or a chat message and just need the total. Paste the whole blob, let the tool keep the decimals and thousands commas, and read the sum and average off the stats row. No spreadsheet, no retyping, no risk of fat- fingering a 19.99 into 1999.

Lift numeric IDs out of a log line for a query

A support log reads 'order 100482 for user 53109 failed retry 3'. Drop it in, turn decimals off so you only get the whole IDs, switch to comma separated output, and paste 100482, 53109, 3 straight into a SQL IN clause or a script. The line numbers and prose around the IDs never come along for the ride.

Clean a CSV column that mixes numbers and notes

Someone handed you a column where each cell is something like '1,234.56 (approved)' or 'TBD'. Paste the column, keep thousands and decimals on, and you get a clean list of just the values, with the 'approved' and 'TBD' noise dropped. Dedupe and sort to spot the outliers before you import.

Pull percentages out of a report for a quick check

A quarterly summary is full of figures like 'up 12.5%, churn -3.2%, margin 41%'. Paste it, leave negatives on, and the percent signs are stripped so you get 12.5, -3.2 and 41 as plain numbers you can average or chart. It is faster than hunting each figure by eye when the prose buries them.

Number Extractor — pull every number out of text

Pull every number out of any text: integers, decimals, negatives, 1,234 commas, percents and 6.02e23, with instant sum and average

Runs locally
Category Text
Best for Removing repetitive cleanup work from everyday writing and operations.

Source text

What counts as a number

Decimals (3.14)Negative (-7)Thousands separators (1,234)Scientific (6.02e23)

Output

Remove duplicatesSort ascending

Count

Sum

300001225.36

Average

60000245.072

Min

-7

Max

300000000

Extracted numbers

What this tool does

Number Extractor scans a block of text and pulls out every number it contains: plain integers, decimals like 3.14, negative values, figures with thousands separators such as 1,234.56, scientific notation like 6.02e23, and percentages where 25% comes back as 25. Four toggles let you decide what actually counts, so an inventory list of whole counts ignores stray decimals while a finance export keeps every cent. The numbers come out one per line or comma separated, ready to paste into a spreadsheet, and you can deduplicate them, sort ascending, or read the running count, sum, average, min and max without opening a calculator. It is the fast way to turn a messy log line, an invoice, a chat transcript or a pasted CSV column into a clean list of values. Everything runs in your browser tab with no upload, and the input round-trips through a shareable link.

Tool details

Input: Text + Numbers; The page exposes text boxes, numeric controls, file pickers, or structured inputs depending on the tool.
Output: Live result + Copy; The result area focuses on usable output, with copy, download, or preview actions when supported.
Privacy: Browser-side processing; The main tool logic does not call an external API, so inputs normally stay in the current tab.
Save / share: Shareable URL state; Key settings are encoded in the URL so another person can reopen the same setup.
Performance budget: Initial JS <= 9 KB; No WASM budget is declared, keeping the tool quick to open on mobile.
Best fit: Text · Developer; Category and role tags drive related tools, internal links, and quick fit checks.

How to use

1. Input

Paste or drop your content into the tool panel.
2. Process

Click the button. All processing is local in your browser.
3. Copy / Download

Copy the result or download to disk in one click.

How Number Extractor fits into your work

Use it to clean, compare, reshape, or extract plain text before it goes into a document, CMS, spreadsheet, or prompt.

Text jobs

Removing repetitive cleanup work from everyday writing and operations.
Making text easier to compare, paste, publish, or feed into another tool.
Working with content locally when the text is private or unfinished.

Text checks

Scan for unintended whitespace, duplicate lines, and lost punctuation.
For long text, test the first few lines before applying the whole change.
Copy the final output only after checking the preview.

Good next steps

These links move the current task into a more complete workflow.

Real-world use cases

Sum a pasted column without opening a spreadsheet
You copied a list of line-item prices out of a PDF receipt or a chat message and just need the total. Paste the whole blob, let the tool keep the decimals and thousands commas, and read the sum and average off the stats row. No spreadsheet, no retyping, no risk of fat- fingering a 19.99 into 1999.
Lift numeric IDs out of a log line for a query
A support log reads 'order 100482 for user 53109 failed retry 3'. Drop it in, turn decimals off so you only get the whole IDs, switch to comma separated output, and paste 100482, 53109, 3 straight into a SQL IN clause or a script. The line numbers and prose around the IDs never come along for the ride.
Clean a CSV column that mixes numbers and notes
Someone handed you a column where each cell is something like '1,234.56 (approved)' or 'TBD'. Paste the column, keep thousands and decimals on, and you get a clean list of just the values, with the 'approved' and 'TBD' noise dropped. Dedupe and sort to spot the outliers before you import.
Pull percentages out of a report for a quick check
A quarterly summary is full of figures like 'up 12.5%, churn -3.2%, margin 41%'. Paste it, leave negatives on, and the percent signs are stripped so you get 12.5, -3.2 and 41 as plain numbers you can average or chart. It is faster than hunting each figure by eye when the prose buries them.

Common pitfalls

Leaving the thousands toggle on when commas are list separators, not grouping. In 'pick 1,2,3' the commas separate items, so with grouping on the tool still reads 1, 2, 3 correctly because 2 and 3 are not three-digit groups; but in 'codes 1,234,567' it collapses to one 1234567. If those were three separate codes, turn thousands off first.
Expecting decimals when the decimals toggle is off. With it off, 3.14 yields 3 and 14 as two numbers, not 3.14. If your output suddenly has twice as many values as you expected, check this toggle before assuming the parser is wrong.
Forgetting that percent signs are dropped, not divided. 25% comes back as 25, not 0.25. The tool extracts the printed figure as-is; if you need the decimal fraction, divide by 100 yourself after copying.

Privacy

Every step runs as plain JavaScript inside your browser tab: the matching, the parsing, the dedupe, sort and the stats. The text you paste, the numbers pulled out and the totals never leave the page and nothing is logged. One caveat: the shareable link encodes your input text in the query string, so a link pasted into chat will record that text in the recipient server access log. For anything confidential, copy the output with the button instead of sharing the URL.

FAQ

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Number Extractor — pull every number out of text

What this tool does

Tool details

How to use

1. Input

2. Process

3. Copy / Download

How Number Extractor fits into your work

Text jobs

Text checks

Good next steps

Real-world use cases

Sum a pasted column without opening a spreadsheet

Lift numeric IDs out of a log line for a query

Clean a CSV column that mixes numbers and notes

Pull percentages out of a report for a quick check

Common pitfalls

Privacy

FAQ

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