MyKit.tools

Extract Emails from Text

Extract all email addresses from any pasted text. Auto-detects emails using regex, removes duplicates, and lets you copy the list with one click.

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How Email Extraction Works

Paste any block of text and the tool instantly finds and extracts every email address it contains. It uses regular expression pattern matching to detect valid email formats, pulling them out of paragraphs, HTML code, CSV files, log files, or any other text. The results are listed one per line, ready to copy.

The tool recognises standard email formats following the RFC specification: a local part (before the @), the @ symbol, and a domain with at least one dot. It handles common variations including plus-addressing (user+tag@example.com), subdomains, and international domains.

Common Uses for Email Extraction

The most common use is pulling email addresses from large blocks of unstructured text. This includes extracting contacts from email threads, parsing sign-up lists, cleaning CRM data exports, or pulling addresses from website source code and documents.

It is also useful for auditing content before publishing to ensure no email addresses are accidentally exposed, or for building mailing lists from meeting notes and correspondence. The deduplicate option removes repeated addresses automatically.

Privacy and Security

All processing happens entirely in your browser. Your text is never uploaded to any server, and no data leaves your device. This makes the tool safe for handling sensitive business communications, customer data, or confidential correspondence.

For GDPR and data protection compliance, client-side processing means there is no third-party data processor involved. The extracted emails exist only in your browser until you copy or close the page.

Frequently Asked Questions

What counts as a valid email address?

The tool matches the standard format: local-part@domain.tld. The local part can contain letters, numbers, dots, hyphens, underscores, and plus signs. The domain must contain at least one dot and use valid characters. Malformed addresses like 'user@' or '@domain.com' are ignored.

Does it remove duplicate emails?

Yes, the tool can deduplicate the results so each email address appears only once, regardless of how many times it occurs in the source text. This is useful when parsing long email threads where the same addresses repeat.

Is my data sent to a server?

No. Everything runs in your browser using JavaScript. Your text is never transmitted anywhere. You can verify this by disconnecting from the internet and using the tool offline.

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