Leading Python API to Validate and Normalize Email Address
Open Source Python Library for Email Address Validation & Normalization. Developers can Validate, Parse and Normalize Email Address inside Python Applications
What is Python-Email-Validator?
Email validation is a fundamental requirement for ensuring data integrity and reliable communication in modern software development. The Python-Email-Validator library provides a robust, lightweight solution for validating, parsing, and normalizing email addresses within Python applications. Designed to seamlessly integrate with Python 3.6 and above, this open-source tool, available on GitHub, offers a simple API that is accessible even to beginners, enabling quick implementation. It adheres to rigorous international standards, performing both syntactic checks and domain validation to confirm addresses are correctly formatted and deliverable for a wide range of applications.
Built upon a widely respected and accurate validation algorithm, Python-Email-Validator ensures superior data quality by preventing errors at the source. It is a well-maintained library that continuously stays updated with the latest standards, making it an ideal and flexible choice for any modern web development project. Whether the task involves securing an authentication system, cleaning user data, or building a reliable web application, this library delivers the precision and reliability needed for effective email validation.
Getting Started with Python-Email-Validator
The easiest way to install Python-Email-Validator is via pypi. Please first you need to download it and then can easily install it using the following command for easy installation.
Install Python-Email-Validator via PyPi
pip install email-validatorEmail Validation via Python API
The open source Python-Email-Validator email library provides a comprehensive email address validation mechanism, checking for common email address formats, such as local-part, domain, and top-level domain. The library ensures that an email address adheres to the syntax rules specified by the relevant standards, such as RFC 5322. For instance, it verifies the placement of the "@" symbol, proper domain format, and other structural components. The following example shows how the the validate_email function validates the input email address for syntax and domain correctness. If the email is invalid, the EmailNotValidError exception is raised with a descriptive error message.
How to Perform Basic Email Validation inside Python Apps?
from email_validator import validate_email, EmailNotValidError
# Input email address
email = "user@example.com"
try:
# Validate the email address
validated_email = validate_email(email)
print("Valid email:", validated_email["email"])
except EmailNotValidError as e:
# Handle invalid email addresses
print("Invalid email:", str(e))
Email Address Normalization via Python
The Python-Email-Validator email library allows software developers to standardize email addresses by converting domain names to lowercase. It handles Unicode domain names by converting them to ASCII-compatible encoding (Punycode). Beyond validation, the library can normalize email addresses by converting them to a standard format. For example, it converts Unicode domain names to their ASCII-compatible encoding (Punycode). Here is a simple example that shows how to the library automatically converts the domain to lowercase and handles IDN normalization.
How to Validate and Normalize Email Address via Python API?
from email_validator import validate_email
email = "Test@EXAMPLE.com"
# Validate and normalize the email address
validated_email = validate_email(email)
normalized_email = validated_email["email"]
print("Normalized email:", normalized_email)
Fast Development & Better Error Handling
The open source Python-Email-Validator library provides a pre-built solution for email address validation, reducing the time and effort required for development. Developers can customize the validation rules to suit their specific requirements, allowing for flexibility and adaptability. Clear error messages make debugging and user interaction seamless. If an email address fails validation, the library provides clear and actionable error messages. This feature is particularly helpful for creating user-friendly applications.