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Email Address Extractor

Extract all email addresses from any block of text, HTML, or content in one click. Deduplicate and export instantly.

How this tool works: 100% browser-side — built-in logic processes your data on your own computer. No AI model, no API calls, nothing is uploaded or stored.
Email Extractor Tool
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How to Extract Email Addresses From Text

Need to pull email addresses out of a wall of text, a copied web page, or a document? Doing it manually is painfully slow. Our free Email Extractor uses pattern matching to instantly find every valid email address in whatever you paste.

The tool recognizes standard email formats across all domains and extensions (.com, .org, .co.uk, and more). It can automatically remove duplicates, convert everything to lowercase for consistency, and sort the results alphabetically — giving you a clean, ready-to-use list.

Useful for: extracting contacts from email signatures, pulling addresses from copied directories or web pages, cleaning up exported text data, and building prospect lists from research. As always, processing happens entirely in your browser, so your data stays private.

Please use responsibly: always respect privacy laws like GDPR and CAN-SPAM, and only email people who have a legitimate reason to hear from you or have opted in.

A Worked Example, and What the Extractor Will Not Catch

Paste the text of a conference programme, a page of HTML source, or a messy export where email addresses are buried in a notes column. The extractor finds every string that has the shape of an email address, removes exact duplicates, lower-cases the domain part so Jane@Example.com and jane@example.com collapse to one entry, and gives you a clean one-per-line list to copy or download. On an HTML page it ignores tags and attributes and reads only the text, so mailto: links and visible addresses are both captured.

What it deliberately does not do

  • It does not de-obfuscate. Addresses written as “jane [at] example [dot] com” are a signal that the owner does not want to be scraped. The tool leaves them alone.
  • It does not verify deliverability. A well-formed address may still bounce. Run the list through a verification step before any campaign; the deliverability checklist explains what that involves.
  • It does not fetch web pages. You paste text; nothing is downloaded or uploaded. That is why it is safe to use with internal documents.

Edge cases worth knowing

Addresses with a plus tag (jane+news@example.com) are kept intact, because the tag is part of the address. Addresses on subdomains (jane@mail.example.co.uk) are matched. Addresses immediately followed by punctuation (“contact jane@example.com.”) have the trailing full stop removed. Strings that look like addresses but are not, such as user@localhost or image filenames like photo@2x.png, are filtered out because they lack a plausible top-level domain. If a real address is missed, it is usually because of an unusual character in the local part; paste the line on its own and check.

A note on consent

Extracting an address is not permission to email it. Anti-spam law in most countries requires consent or a legitimate existing relationship for marketing email, and the penalties for scraped lists are real. Use the extractor to recover addresses you are entitled to contact (your own export, your own event registrations, replies in your own inbox), not to build cold lists from strangers’ pages.

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FAQ

Frequently Asked Questions

How does email extraction work?
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The tool scans your text using a pattern that matches standard email formats, then collects every match into a clean list.
Does it work with HTML?
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Yes. You can paste raw HTML or text copied from web pages, and the tool will find the email addresses within it.
Can it extract from a website URL?
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This tool extracts from pasted text, not live URLs. Copy the page content and paste it here. Live URL crawling requires a backend service.
Is it legal to extract emails?
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Extracting emails from text you have access to is generally fine, but sending unsolicited email may violate laws like GDPR or CAN-SPAM. Always get consent before emailing.