Email normalization reduces duplicate-looking addresses, but different providers and products have different rules.

The Email Normalizer tool helps me inspect the input and output without writing a one-off script first.

The simple idea

Email normalization reduces duplicate-looking addresses, but different providers and products have different rules.

I use it to answer one focused question at a time, then I review the result before using it anywhere important.

Step 1: Paste the email address

Paste the email address.

Step 2: Lowercase the domain

Lowercase the domain.

Step 3: Decide whether the local part should be lowercased

Decide whether the local part should be lowercased.

Step 4: Handle plus tags only if your product policy allows it

Handle plus tags only if your product policy allows it.

Step 5: Be careful with Gmail dot rules

Be careful with Gmail dot rules.

Step 6: Use normalization for matching, but keep the original address for display when useful

Use normalization for matching, but keep the original address for display when useful.

Step 7: Do not change login behaviour without considering existing users

Do not change login behaviour without considering existing users.

My checklist

Before I trust the result, I check:

  • Paste the email address.
  • Lowercase the domain.
  • Decide whether the local part should be lowercased.
  • Handle plus tags only if your product policy allows it.
  • Be careful with Gmail dot rules.
  • Use normalization for matching, but keep the original address for display when useful.
  • Do not change login behaviour without considering existing users.

The tool makes the mechanical part faster. The decision still belongs to me: is this result correct, safe, and appropriate for the real task?

Comments

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