Remove Numbers from Text

Paste text, pick which kinds of numbers to strip (digits, decimals, spelled-out), and decide what to preserve (dates, currency, phones). Copy the cleaned result.

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Input Load sample

How to use the number remover

1. Paste the text

Drop your text into the Input box. Anything pasted from a CSV, a transcript, a research note, a CRM export, or a chat log is fine. The tool processes everything in your browser.

2. Pick what counts as a number

Three independent toggles control which kinds of numbers get removed. Remove digits 0-9 strips every individual digit character; this is on by default. Remove decimal numbers treats values like 1.5 or 0.99 as one unit so the decimal point goes with them. Remove spelled-out numbers handles the English words for zero through one hundred plus the common large-quantity words (thousand, million, billion).

3. Pick what to preserve

Three preserve toggles protect specific number shapes from the cleanup. Preserve dates keeps 1/15/2026, 2026-01-15, and 15/1/26 intact. Preserve currency keeps amounts prefixed by $, EUR, GBP, USD, and similar marks. Preserve phone numbers keeps common US, international, and formatted phone shapes intact. Layer them as needed for your job.

4. Clean and copy

Click Clean. The output appears on the right with a count of how many number tokens were removed. Use the Copy button to grab the result or Download to save a .txt file.

When you need to remove numbers from text

Numbers are easy to spot but tricky to clean by hand once you have more than a few paragraphs. Here are the common workflows.

Data cleaning
Customer feedback, survey free-text, and chat exports often contain order numbers, IDs, and percentages mixed into the prose. Strip them out before you tag, classify, or fuzzy-match the responses.
NLP preprocessing
Many text models treat numbers as noise. Removing digits and decimals before tokenizing keeps the vocabulary stable across documents and removes a common source of feature-explosion in TF-IDF or bag-of-words pipelines. After stripping, drop the result into our character counter to confirm the cleaned corpus length.
Anonymization
Order numbers, account IDs, ages, and dates of birth all encode identifying information. Use Remove digits 0-9 with the Preserve options off when sanitizing a document before sharing.
Copy editing
A draft full of statistics can feel cluttered. Strip the numbers to see whether the prose still carries the argument. If the editorial point survives without them, the original could probably use fewer.
ESL writing drills
Teachers strip numerals from a paragraph and ask students to fill them back in based on context. Use Remove digits 0-9 only and leave the spelled-out numbers untouched so the surrounding clues remain.
Survey free-text cleanup
Free-text responses arrive with order numbers, dates, and price quotes that hurt clustering and topic modeling. Use this tool with Preserve currency off and Preserve phones off to scrub everything.
Page comparison
Comparing two versions of a page by their copy alone (not their stats) is easier when the numbers are stripped. Both versions reduce to the textual skeleton and the diff highlights only the words.
Transcript redaction
Customer-support transcripts often hold phone numbers, account digits, and order IDs. Strip the digits and leave Preserve phones off if you want to redact those alongside the rest.

What the tool treats as a number

"Numbers" cover more shapes than just digits, and not every shape behaves the same way. The table below summarizes what each toggle matches.

ToggleWhat it matchesExample
Remove digits 0-9Every individual digit character42, H1, UTF-8
Remove decimal numbersDigits + one decimal point treated as one unit; the dot is removed with the number1.5, 0.99, 3.14159
Remove spelled-out numbersEnglish words for 0-100 and the big-quantity terms; whole-word match, case-insensitiveone, twenty-five, hundred
Preserve datesSlashed dates (1/15/2026), ISO dates (2026-01-15), short years (1/15/26)1/15/2026, 2026-01-15
Preserve currencyAmounts prefixed by $, EUR, GBP, USD, JPY (with optional thousands separators and decimals)$1,500, EUR 42.99
Preserve phone numbersCommon US, international, dotted, parenthesized formats(555) 123-4567, +1 555-987-6543

Things this tool does not remove: Roman numerals (IV, XVII), ordinals (1st, 2nd, 3rd when the Remove digits toggle is off), spelled-out fractions (half, quarter), and number characters from other scripts (٠-٩ Arabic-Indic, Chinese one). If you need any of those gone too, copy them aside, run the cleaner, and rejoin.

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Frequently asked questions

How do I remove all numbers from a block of text?

Paste your text in the input box. Leave the Remove digits 0-9 toggle on (it is the default). Click Clean. The output strips every digit. If you also want decimal numbers like 1.5 or 0.99 treated as whole units (so the decimal point goes with them), turn the Remove decimal numbers toggle on. For text that contains written-out numbers like five or seventeen, switch on Remove spelled-out numbers.

Will removing digits also remove the numbers inside words like UTF-8 or H1?

Yes. The digit remover treats every 0 through 9 character as a number. UTF-8 becomes UTF-, H1 becomes H, and ASCII-7 becomes ASCII-. If you need to keep alphanumeric codes intact, use the Preserve toggles (dates, currency, phones) or copy them aside first and reinsert after cleaning.

What counts as a decimal number?

When the Remove decimal numbers toggle is on, the tool matches runs of digits with one decimal point inside, such as 1.5, 0.99, 3.14159, or 42.0. The whole unit (including the dot) is removed in one piece. Negative numbers (-1.5) are matched the same way when a hyphen sits directly before the digit. The hyphen itself is removed only when it is part of the negative-number match.

Which spelled-out numbers does the tool recognize?

The Remove spelled-out numbers toggle handles cardinal English numbers from zero through one hundred (one, two, three, ten, twenty, thirty-one, forty-five, one hundred) and the common large words (thousand, million, billion). Matching is case-insensitive and whole-word, so seven inside seventeen does not get hit twice. Ordinals (first, second, third) and fractions (half, quarter) are not removed.

How does the Preserve dates option work?

Preserve dates protects three common date shapes from any digit removal: slashed dates (1/15/2026, 15/1/26), dashed ISO dates (2026-01-15), and short-year forms (1/15/26). The dates remain intact in the output even with the Remove digits toggle on. Use this when you are cleaning a document where the dates matter (a transcript, a report) but you want every other number gone.

How does the Preserve currency option work?

Preserve currency protects any number prefixed by $, GBP, EUR, USD, or a similar currency mark, including thousand separators and decimals. $1,500 stays, GBP 42.99 stays, USD 1,234.56 stays. The match is anchored on the currency symbol or three-letter code, so a stray 1500 with no symbol is still removed.

How does the Preserve phone numbers option work?

Preserve phone numbers protects common US, international, and formatted phone shapes: (555) 123-4567, 555-123-4567, +1 555 123 4567, 555.123.4567, and the equivalent ten-digit unspaced form 5551234567. Extensions like ext. 123 stay attached. This is useful when sanitizing customer support tickets or interview transcripts where phone numbers must remain readable.

I'm stripping phone numbers and account IDs out of customer support tickets. Are those PII strings being captured anywhere?

No. The digit removal runs locally in JavaScript. The original ticket text, the phone numbers and IDs you're removing, and the cleaned output all stay inside this browser tab and are never uploaded or logged.

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