Categories

Text Phone Number Normalizer

Find, format and normalize phone numbers within text content

Key Facts

Category
Text Processing
Input Types
textarea, select, checkbox
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

The Text Phone Number Normalizer is a utility designed to automatically detect, validate, and reformat phone numbers within any block of text to ensure consistency and readability.

When to Use

  • Standardizing inconsistent contact lists from various sources into a uniform format.
  • Preparing raw text data for database entry or CRM integration.
  • Cleaning up messy customer feedback or lead generation forms containing mixed phone number styles.

How It Works

  • Paste your text containing phone numbers into the input area.
  • Select your preferred target format, such as E.164 or International.
  • Choose the default country to ensure accurate parsing of local numbers.
  • Click process to extract and convert all identified numbers into your chosen format.

Use Cases

CRM Data Cleaning: Converting thousands of customer phone numbers into a single, searchable E.164 format.
Lead Generation: Extracting and formatting contact numbers from unstructured email signatures or web scrapes.
International Communication: Ensuring all contact numbers in a global directory follow a consistent, dialable international format.

Examples

1. Standardizing CRM Contact List

Data Analyst
Background
A marketing team collected contact numbers in various formats, including local and international styles, causing issues with their automated SMS service.
Problem
The SMS service requires all numbers to be in E.164 format to function correctly.
How to Use
Paste the contact list into the tool, select 'E.164' as the target format, and set the default country to 'US'.
Example Config
targetFormat: e164, defaultCountry: US, validateNumbers: true
Outcome
All phone numbers are converted to the E.164 standard, allowing for seamless integration with the SMS service.

2. Extracting Numbers from Email Signatures

Sales Representative
Background
A sales rep needs to pull phone numbers from a long thread of emails to build a call list.
Problem
The numbers are buried in text with different spacing and formatting, making them hard to copy-paste into a dialer.
How to Use
Paste the email thread, select 'Human readable' format, and enable 'Preserve Original Text' to see the numbers highlighted in context.
Example Config
targetFormat: human, preserveOriginal: true
Outcome
The tool identifies all phone numbers in the text and reformats them into a clean, readable style while keeping the original context intact.

Try with Samples

text

Related Hubs

FAQ

Can this tool handle international phone numbers?

Yes, by selecting the correct default country and target format, the tool accurately parses and converts international numbers.

What is the E.164 format?

E.164 is an international standard that formats phone numbers with a plus sign followed by the country code and subscriber number, with no spaces or dashes.

Does the tool validate if a number is real?

The tool performs structural validation to ensure the number follows the expected format for the selected country.

Can I keep the original text and just see the numbers?

Yes, you can toggle the 'Preserve Original Text' option to see the numbers extracted and formatted within your existing content.

Is my data stored on your servers?

No, all text processing is performed locally in your browser to ensure your data privacy.

API Documentation

Request Endpoint

POST /en/api/tools/text-phone-normalizer

Request Parameters

Parameter Name Type Required Description
textContent textarea Yes -
targetFormat select No -
defaultCountry select No -
includeCountryCode checkbox No -
validateNumbers checkbox No -
preserveOriginal checkbox No -

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-text-phone-normalizer": {
      "name": "text-phone-normalizer",
      "description": "Find, format and normalize phone numbers within text content",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=text-phone-normalizer",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]