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Extract Every Phone Number From Any Text Instantly

Extract, normalize, and deduplicate every phone number from any text instantly.

What This Does

Phone numbers are among the messiest data types to work with. They appear in dozens of formats β€” (555) 234-5678, +1-555-234-5678, 555.234.5678, 15552345678, +44 20 7946 0958 β€” and mixed with names, addresses, job titles, and other content in CSV exports, contact pages, log files, and copied text. Extracting them manually and normalizing each one to a consistent format is tedious, error-prone, and slow at any meaningful volume. The Phone Number Extractor solves all of this in one pass. Paste any volume of text β€” a CRM export, a webpage's HTML, a directory listing, a block of logs β€” and the tool finds every phone-shaped string, normalizes each one to a consistent format, deduplicates the results, and provides a complete breakdown of the extracted numbers. It detects international dialing codes for over 30 country prefixes, identifies US/Canada numbers and formats them in standard NANP format, and handles the wild variety of separators, parentheses, spaces, and prefix styles that appear in real-world data. This is substantially more useful than basic phone extractors that give you raw regex matches with no normalization, no deduplication, and no country awareness. The normalization step alone eliminates hours of manual cleanup for anyone building contact lists, importing to CRMs, or preparing data for SMS or calling campaigns. All processing runs entirely in your browser β€” your data never leaves your device.

Assumptions
  • Β·Numbers shorter than 7 digits are excluded as likely not phone numbers
  • Β·10-digit numbers without country prefix assumed US/Canada (NANP)
  • Β·Deduplication normalizes by stripping all non-digit characters before comparison
  • Β·All processing is client-side β€” no data transmitted to any server
When Should You Use This?
  • β†’Extracting phone numbers from a CRM or database export with mixed formats and columns
  • β†’Pulling contact numbers from HTML source of a company directory or contact page
  • β†’Cleaning a list of phone numbers from multiple sources into a normalized, deduplicated format
  • β†’Preparing a phone list for import into a CRM, SMS platform, or calling system
  • β†’Auditing log files or form submissions for phone number data
  • β†’Converting a mix of international and domestic phone formats to a consistent E.164 standard
Example Scenario

Priya is building a calling campaign and receives contact data from three different sources: a legacy CRM export (format: "(415) 555-2671"), a website scrape (format: "415.555.8823"), and a spreadsheet from a partner (format: "+1 (415) 555-9031"). She pastes all three files' content into the extractor. Result: 312 unique phone numbers extracted from 387 raw matches (75 duplicates removed). US numbers normalized to (XXX) XXX-XXXX. International numbers preserved with country code. She exports as a comma-separated list and imports directly to her SMS platform.

Output Format

πŸ”’

100% private. All processing runs in your browser β€” your text never leaves your device and is not sent to any server.

Paste text containing phone numbers

Phone Number Extractor β€” Extract, Normalize & Export

Paste any text β€” CSV exports, HTML source, log files, directories, or raw content β€” and instantly extract every phone number. The tool handles all common formats (US domestic, international E.164, dotted, dashed, parenthesized), deduplicates automatically, detects country codes for 30+ countries, and exports in your preferred format. All processing is client-side β€” nothing leaves your browser.

What makes this better than basic phone extractors?

  • Normalization options β€” export as original, NANP (XXX) XXX-XXXX, E.164 +1XXXXXXXXXX, or digits only
  • Country detection β€” identifies 30+ country codes and groups numbers by country with flags
  • Auto-deduplication β€” case and format-insensitive; (415) 555-2671 and 4155552671 are the same number
  • Country filter β€” filter the list to show only US numbers, only UK numbers, etc.
  • Multiple export formats β€” one per line, comma-separated, semicolon-separated, JSON array
  • 100% private β€” your data never leaves your browser

FAQs

What formats are recognized?

All common variants: (555) 234-5678, 555-234-5678, 555.234.5678, +1 555 234 5678, +44 20 7946 0958, and more. Numbers shorter than 7 digits are excluded.

What is E.164 format?

The international standard (+CountryCodeNumber, no spaces or hyphens) required by SMS APIs, CRMs, and calling systems like Twilio and Vonage.

How does deduplication work?

Numbers are normalized to digits-only before comparison β€” (415) 555-2671 and 415.555.2671 and +14155552671 all deduplicate to the same entry.

Is my data private?

Completely. No API calls, no server logs, no storage. Processing runs entirely in your browser's JavaScript engine.

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