Validate phone numbers accurately using the Phone Number Regex Python Validator. Whether you’re checking local formats or international patterns, this tool ensures precise validation tailored for Python applications. For extended testing, use the Python Regex Tester or dive deeper with utilities like the Python IP Address Regex Validator and Python Email Regex Validator.
[A-Z]
: uppercase letters[a-z]
: lowercase letters[0-9]
: digits\.
: a literal dot+
: one or more of the preceding*
: zero or more of the preceding?
: optional (zero or one)^
: start of string$
: end of string
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Regular Expression - Documentation
What is Phone Number Regex in Python?
Phone number regex in Python allows you to validate if a string matches expected phone number formats—whether local, international, or formatted for readability.
In Python, this is typically done using the re module with a regular expression (regex) pattern that checks for digits, optional country codes, separators (like -, , or ()), and valid lengths.
When to Use It?
User signup forms to ensure phone inputs are correct
APIs that process contact data
CRM systems to clean and validate mobile entries
SMS/Call systems to avoid message failure due to incorrect formats
Common Regex Patterns for Phone Numbers
Basic digits only (10-digit US-style number):
^\d{10}$
Matches 9876543210
With country code (e.g., +91 for India):
^\+\d{1,3}\d{7,14}$
Matches +919876543210
Formatted with spaces or hyphens:
^\+?\d{1,3}[-\s]?\(?\d{3}\)?[-\s]?\d{3}[-\s]?\d{4}$
Matches +1 800-555-1234 or (800) 555-1234
How to Validate Phone Numbers Using Regex in Python
Here’s a complete example using the re module:
Combine with These Tools
Email Regex Python Validator – Validate email input alongside phone data.
IP Address Regex Python Validator – Check IP fields during signup.
Password Regex Python Validator – Enforce strong password rules for account security.
UUID Regex Python Validator – Validate unique user/session IDs along with phone numbers.
Pro Tips
Always normalize phone numbers after validation for storage (e.g., remove hyphens or spaces).
If dealing with international users, prefer patterns that support optional + and varying lengths.
Avoid assuming a fixed length; different countries have different standards (e.g., UK, India, US).
Use re.fullmatch() instead of re.match() if you want to strictly match the entire string.
For UI, consider pairing regex validation with dropdowns for country codes to improve accuracy.
Use Cases
Validating user input in Django or Flask forms
Filtering bulk contact data in ETL pipelines
Verifying phone numbers before sending SMS alerts
Adding regex constraints in Python-based data validators