Standardize US Phone Numbers for Consistent Data
Automatically standardize and validate US phone numbers, reducing manual data cleaning effort by 100% and ensuring consistent, valid contact information for all your systems.
Inconsistent phone number formats lead to data errors and failed communication attempts across systems. This n8n workflow automatically cleans, validates, and formats US phone numbers into multiple industry-standard formats, ensuring data accuracy and reliable outreach.
Documentation
Standardize and Validate US Phone Numbers
Inconsistent phone number formats can cause significant data integrity issues and lead to failed communication efforts. This n8n workflow provides a robust, automated solution to clean, validate, and format US phone numbers into various standard forms, ensuring your contact data is always accurate, consistent, and ready for use in any CRM, marketing platform, or communication tool.
Key Features
- Automatically strips all non-numeric characters (dashes, spaces, parentheses) for clean data.
- Intelligently validates phone numbers for correct US length (10 or 11 digits).
- Automatically adds the '1' country code to 10-digit US numbers that are missing it.
- Generates multiple widely-used formats including E-164 (+1XXXXXXXXXX), National ((XXX) XXX-XXXX), Full National (1 (XXX) XXX-XXXX), and International (00-1-XXX-XXX-XXXX).
- Identifies and extracts extensions from longer phone number strings.
- Clears and flags invalid or non-numeric inputs to prevent data contamination.
How It Works
This workflow is designed to be triggered by another n8n workflow, receiving a 'Phone Number' as input. It first sanitizes the input by stripping all non-numeric characters. Next, it performs a length check: 10-digit numbers automatically have a '1' country code prepended (assuming a US number), while 11-digit numbers are validated to ensure they start with '1'. Inputs with fewer than 10 digits or non-numeric values are routed to an 'invalid number' path, where the number is cleared to prevent bad data. Finally, valid and cleaned phone numbers are passed to a formatting stage, which generates various standard representations (E-164, National, International) and extracts any included extensions.