๐Ÿ“ง Extract Emails

Paste any block of text and instantly extract every email address found. One email per line, with an option to remove duplicates. Free, private, no signup.

Emails Found
Extracted email addresses will appear here, one per line...
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About the Email Extractor

This tool scans any block of text and pulls out every string that matches the standard email address pattern. Results are displayed one per line, ready to copy into a spreadsheet, CRM or mailing tool. All processing happens in your browser โ€” no text is ever uploaded to a server.

What It Recognises

The extractor matches standard email addresses: a local part (letters, digits, dots, underscores, hyphens and plus signs), followed by @, then a domain name with at least one dot and a two-or-more-character TLD. Addresses like name@example.com, first.last+tag@company.co.uk and info@sub.domain.org are all matched.

Common Use Cases

  • Pulling contact emails from a scraped web page or newsletter
  • Extracting emails from a CSV export that mixes email with other data
  • Collecting all email addresses mentioned in a long email thread
  • Building a contact list from a block of unstructured text
  • Finding email addresses embedded in HTML source code

When to Extract Emails from Text

The most common reason to extract emails is reclaiming contact information scattered across unstructured content. Marketing teams extract emails from event attendee lists exported as plain text. Developers extract emails from log files to identify which users triggered errors. Customer support teams extract emails from forwarded threads where contacts appeared across multiple replies. Any workflow where email addresses appear embedded in a larger body of text benefits from a dedicated extract emails tool.

Sales professionals who receive introductory emails containing multiple contact details use an extract emails tool to pull out every address in one step rather than scanning line by line. Even simple tasks like collecting RSVP addresses from a pasted list become instant when you extract emails automatically.

How the Extract Emails Pattern Works

The tool uses a regular expression that matches the standard email format: one or more valid local-part characters, an @ symbol, then a domain with at least one dot and a TLD of two or more characters. This regex pattern reliably matches addresses that conform to the structural standard but does not validate whether an address actually exists or is currently active.

Frequently Asked Questions

Any plain text โ€” scraped web content, CSV files, email threads, documents, newsletters or HTML source code. The tool finds all valid email address patterns anywhere in the input regardless of surrounding content.

Yes. The extractor searches for the email pattern anywhere in the text including inside HTML attributes like href="mailto:email@example.com". For heavy HTML, you can first use the HTML Stripper tool and then extract emails from the clean text.

The same email address may appear multiple times in a document โ€” for example in a header, body and footer. Enable Remove Duplicates to get a clean unique list with each address appearing only once.

Completely private. All extraction happens locally in your browser using JavaScript. Your text is never sent to any server, stored or logged. You can safely process confidential documents.

You can paste plain text, HTML source, email threads, website content, or any text containing email addresses. The tool uses a regex pattern that reliably finds standard email formats.