This phone number parser online tool lets you parse phone number entries, validate, and format international phone numbers with comprehensive country detection. Use it as a phone number parser and formatter powered by the google lib phone number python wrapper to parse international phone numbers from any format. It works as an extract phone numbers from text online free solution.

The phone number country code detector identifies origin countries automatically. You can extract phone numbers from website content, parse phone numbers from html pages, or use the bulk phone number validation tool for batch processing. The phone number type detection mobile vs landline feature classifies each number, while validate phone number with carrier lookup identifies the service provider. It also supports phone number formatting to e164, phone number timezone mapper for time zone lookups, and as you type formatter phone input for real-time formatting. Developers can use the phone number parser api or batch phone number parser api for integration, and there is also an r package for phone number validation available. Use extract phone numbers with region detection to identify geographic regions from numbers.

• Parse phone numbers from any format
• Validate number structure and possibility
• Format to E.164, international, and national formats
• Detect country, region, and number type
• Identify carrier information when available
• Bulk and batch phone number validation
• Extract phone numbers from text and websites

Phone numbers have different formats depending on the context and standards used. Understanding these formats is crucial for proper parsing and international communication.

Common Format Types:

Country Code Examples:

Different types of phone numbers have specific validation rules and use cases. Understanding these distinctions helps in proper parsing and application integration.

Implementing phone number parsing in applications requires careful consideration of user experience, validation accuracy, and international compatibility.

JavaScript Example:

// Phone number parsing example
class PhoneParser {
  static parse(phoneNumber, defaultCountry = 'US') {
    // Clean input - remove all non-numeric chars except +
    const cleaned = phoneNumber.replace(/[^0-9+]/g, '');

    // Detect country code
    let countryCode, nationalNumber;
    if (cleaned.startsWith('+')) {
      // Extract country code from E.164 format
      countryCode = this.extractCountryCode(cleaned);
      nationalNumber = cleaned.slice(countryCode.length + 1);
    } else {
      // Use default country
      countryCode = this.getCountryCode(defaultCountry);
      nationalNumber = cleaned;
    }

    return {
      countryCode,
      nationalNumber,
      e164: `+${countryCode}${nationalNumber}`,
      isValid: this.validate(countryCode, nationalNumber)
    };
  }

  static extractCountryCode(number) {
    // Try 1, 2, then 3 digit country codes
    const withoutPlus = number.slice(1);
    for (const [code, info] of Object.entries(this.countryData)) {
      if (withoutPlus.startsWith(info.dialCode)) {
        return info.dialCode;
      }
    }
    return withoutPlus.slice(0, 1); // Default to 1 digit
  }

  static validate(countryCode, nationalNumber) {
    // Check length and format for the country
    const country = this.getCountryByCode(countryCode);
    if (!country) return false;
    return nationalNumber.length >= country.minLength
      && nationalNumber.length <= country.maxLength;
  }
}

// Usage examples
console.log(PhoneParser.parse('+1 555 123 4567'));
// { countryCode: '1', nationalNumber: '5551234567', e164: '+15551234567', isValid: true }

console.log(PhoneParser.parse('+44 20 7946 0958'));
// { countryCode: '44', nationalNumber: '2079460958', e164: '+442079460958', isValid: true }