How does the email extractor work?

It scans your pasted text with a pattern matcher tuned to the email format (local-part@domain.tld), pulling every address out of surrounding prose, HTML, or log noise — then deduplicates and lists them one per line.

Does it handle emails buried in HTML or mailto links?

Yes — addresses inside mailto: links, HTML attributes, angle brackets (John ), and quoted headers are all captured; the markup around them is ignored.

Will it catch obfuscated addresses like name [at] domain [dot] com?

Optional de-obfuscation mode converts common patterns — [at], (at), [dot], ' at ' — back to real addresses before extraction, catching contact info written to evade simple scrapers.

Can I get the output as CSV or grouped by domain?

Yes — output options include one-per-line, comma-separated, and grouped/counted by domain, which instantly shows which companies dominate a list.

Is the text I paste kept private?

Completely — extraction runs in your browser. Mail dumps and customer data are never uploaded anywhere.

Email Extractor — Extract Email Addresses from Text, Free -...

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Email Extractor — Every Address Out of Any Mess

A forwarded thread with forty participants, a CRM export gone wrong, a page of HTML source, a conference attendee doc — somewhere in there are the email addresses you need, wrapped in noise. This free extractor pulls every address out instantly, deduplicates, sorts, optionally de-obfuscates "name [at] domain" patterns, and formats the result for one-per-line or CSV use. All in your browser; nothing uploads. No signup.

What It Catches

Buried form	Extracted
Contact John <[email protected]> for details	[email protected]
<a href="mailto:[email protected]?subject=Hi">	[email protected]
reply to: [email protected]	[email protected]
support [at] example [dot] com	[email protected] (de-obfuscation on)

Plus-addressing, subdomains, hyphens, and multi-part TLDs are all handled — the failure points of naive regex extractors.

Deduplication and Domain Grouping

Long threads repeat the same addresses dozens of times; case differences ([email protected] vs [email protected]) hide duplicates from simple dedupe. The extractor normalizes case on the domain (per the spec) before deduplicating, and its domain-grouping view — "@gmail.com: 34, @acme.com: 12" — turns a raw list into instant audience insight.

Legitimate Uses and a Compliance Note

Cleaning your own data — recovering addresses from exports, threads, and legacy documents you already own.
Migration — moving contact lists between CRMs and mail platforms.
Log analysis — pulling reporter addresses out of bounce or support logs.

Remember that mailing extracted addresses is governed by consent laws (CAN-SPAM, GDPR) — extraction cleans data; permission to email is a separate matter.

Free and Private

Unlimited text, processed locally — customer data never leaves your machine.

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Result