Reformat Phone Numbers
Standardize bulk lists of varying, unstructured phone formats. Convert national dial codes, remove symbols, or prefix international call codes.
Configure Reformatting Settings
Why You Need to Reformat Phone Numbers in Bulk
Managing customer directories across CRM systems, billing portals, marketing suites, and customer service tools presents a common challenge: telephone format inconsistency. One salesperson might record a customer's contact details as `(213) 373-4253`, while a web registration form logs it as `12133734253` and an automated invoice registers it as `+1 213-373-4253`. When these systems try to sync, duplicates are created and API integrations fail. This is why our tool to reformat phone numbers is critical: it cleans and standardizes lists into a single, uniform layout.
The Standard Formats Explained
Our bulk converter lets you select from several formatting choices depending on your system's requirements:
- E.164 Format: The gold standard for database architecture and cloud telephony APIs (such as Twilio). E.164 formats consist of a leading `+` sign followed by the country code and national subscriber number, containing no spaces, hyphens, or parentheses (e.g., `+12133734253`).
- National Format: The traditional local format used within a single country (e.g., `(213) 373-4253` in the US, or `020 7946 0958` in the UK). This format is easiest for local customer-facing representatives to read.
- International Format: A clean international format separating digit blocks with spaces, making it readable for international customers and partners (e.g., `+1 213 373 4253`).
- RFC3966 URI Format: The standardized format for web hyperlinks and VoIP systems. Adding the `tel:` prefix (e.g., `tel:+12133734253`) creates clickable links on mobile websites that launch the phone dialer.
- Raw National Digits: Strip all country codes, symbols, and formatting, leaving only the national subscriber numbers (e.g., `2133734253`).
Common Use Cases
Standardizing list formats is a crucial first step for data migrations (e.g. moving customer records from legacy systems to Salesforce), preparing SMS marketing recipient lists, or resolving duplicate contacts.
Convert messy lists into uniform databases instantly. Processed locally, exported cleanly.
