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How to normalize a postal address

Updated

The Normalize Postal Address filter converts an unstructured address into a standardized format with separate fields.

This can automatically split an address into:

  • Street address
  • City
  • State or province
  • Postal code
  • Country

This is especially useful for:

  • CRM integrations
  • Shipping workflows
  • Address validation
  • Standardized exports

How It Works

The filter analyzes the parsed address and attempts to match it against an address database.

If the address is recognized, Mailparser returns a structured result with separate address components.

How to Use It

Step 1: Extract the Address

Create a parsing rule that isolates the address block from the email. If you need assistance in setting that up you can learn about setting up parsing rules at the following page: https://mailparser.zendesk.com/hc/en-us/articles/16253285541780-Where-can-I-learn-to-set-up-an-email-parsing-rule-

Example:

800 Griffiths Wy
Vancouver BC V6B 6G1
Canada

Step 2: Add the Filter

  1. Open your parsing rule
  2. Click Add Text Filter
  3. Navigate to:
    Refine Parsed Results → Normalize Postal Address

Step 3: Choose an Output Mode

The filter includes multiple output formats:

  • Common Fields → Standard address fields
  • All Available Details → Additional parsed components

Step 4: Review the Results

Once processed, the address will be split into structured fields.

Example output:

Street Number: 800
Street: Griffiths Wy
City: Vancouver
State: BC
Zip Code: V6B 6G1
Country: Canada

Tips

  • Remove extra text like phone numbers or company names before normalization
  • Newer addresses may not immediately exist in the address database
  • Use additional filters first if the address contains unrelated content

When to Use This Filter

Use this filter when:

  • Addresses need to be separated into individual fields
  • You are sending data to a CRM or database
  • Your source emails contain inconsistent address formatting

Summary

The Normalize Postal Address filter converts unstructured mailing addresses into organized, standardized fields.

This makes address data easier to validate, export, and integrate into other systems.

 

 

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