Extract Email Addresses
Find and pull out every email address from a block of text, returning one per line.
What Is Extract Email Addresses?
An email extractor scans any block of text and pulls out all valid-looking email addresses, presenting them as a clean, deduplicated list. Paste a document, a web page's source code, a customer support log, or any text containing email addresses, and the tool identifies and extracts every address matching the standard email format ([email protected]) in one pass.
Manually hunting for email addresses in long documents is tedious and prone to misses. This tool replaces that manual process for content auditing, contact list building from documents, extracting recipients from email threads, and mining legacy files for contact data. The extracted list is immediately copyable for use in email tools, CRMs, or spreadsheets. Note that extracted addresses should be used for legitimate contact purposes only — unsolicited bulk email to extracted lists violates CAN-SPAM, GDPR, and most email platform terms of service.
See also: Extract URLs, Remove Duplicate Lines, Trim Whitespace, Find & Replace
Who Should Use This Tool?
Extract contact emails from conference attendee lists, networking event docs, and partner documents to build legitimate prospect contact lists.
Extract email addresses from support ticket logs, feedback forms exports, and customer communication archives for CRM imports.
Scan web page source code and document archives to find and audit all email addresses published on a site for contact and privacy compliance.
Key Use Cases
- →Extract all email addresses from a conference attendee spreadsheet exported as plain text for CRM import.
- →Pull contact emails from a newsletter subscriber export or CRM backup for migration to a new platform.
- →Find all email addresses in a web page source or sitemap to audit publicly exposed contact information.
- →Extract reply-to addresses from a thread of forwarded email chains pasted as plain text.
- →Mine contact addresses from legacy documents, proposal PDFs converted to text, and archived communications.
How to Use Extract Email Addresses
- Paste or type your text into the Input Text box.
- The result appears instantly on the right.
- Click Copy to copy the output to your clipboard.
- Click Clear to reset and process new text.
Common Mistakes & Pro Tips
- !Using extracted lists for cold outreach without permission — extracting emails from public documents doesn't grant permission to contact those people. GDPR and CAN-SPAM require a lawful basis for contact. Unsolicited emails to extracted lists risk legal penalties and email platform bans.
- !Trusting every extracted "email" as valid — the extractor matches patterns that look like emails. Placeholder emails ([email protected]), test addresses, and malformed entries may appear in results. Always validate before using for actual sending.
Frequently Asked Questions
Everything you need to know about Extract Email Addresses
What email pattern does the extractor match?
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The extractor uses a regular expression matching the standard email format: one or more characters (letters, numbers, dots, underscores, hyphens, plus signs) followed by @, followed by a domain name with at least one dot and a TLD of 2+ characters. It catches standard addresses like [email protected], [email protected], and [email protected]. It won't catch every edge-case valid email per RFC 5322 (the full spec is extremely permissive) but covers the vast majority of real-world addresses.
Are the extracted emails deduplicated?
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Yes — the tool removes duplicate email addresses from the output so each unique address appears only once, regardless of how many times it appears in the source text. This is especially useful when scanning documents or web pages where the same contact email might be listed multiple times. The deduplication is case-insensitive for the domain portion and case-sensitive for the local part (before @), matching standard email handling practice.
Can it extract emails from HTML source code?
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Yes — paste HTML source code including email addresses in text, href="mailto:" attributes, or other contexts, and the tool will find all matching email patterns regardless of surrounding HTML markup. Emails wrapped in HTML tags, attributes, and JavaScript strings will all be extracted as long as the email pattern is present in the text.
Will it catch obfuscated emails like "user [at] example [dot] com"?
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No — the extractor matches the literal email format ([email protected]). Common obfuscation techniques like "[at]", "(at)", "@replace with @", or split email presentations ("user" followed separately by "@example.com") are not matched by standard regex email extraction. To extract obfuscated emails, you'd need to run a find-and-replace to restore the standard format before extracting.
Is there a limit to how much text I can process?
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The tool runs entirely in your browser using JavaScript, with no server-side processing. It can handle documents of typical size (articles, reports, email archives) very quickly. For very large files (multi-megabyte text exports), browser-based processing may be slow. For bulk extraction from large files, a Python script using re.findall(r'[\w.+-]+@[\w-]+\.[\w.-]+', text) is more appropriate for production-scale processing.
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Last reviewed: August 2026