What counts as a valid email address for this tool?

It uses a practical pattern matching the standard local-part@domain.tld shape (letters, numbers, and the common symbols . _ % + - before the @, a domain made of letters, numbers, dots and hyphens, and a final domain suffix of at least two letters). This covers virtually every real-world email address, though it isn't a full RFC 5322 parser and may occasionally miss an unusually formatted address or match a look-alike string.

Does it extract emails from HTML source code, not just plain text?

Yes. Since it scans the raw text you paste character by character looking for the email pattern, addresses embedded in HTML (like inside an href="mailto:..." attribute or visible page text) are found the same way as addresses in plain text — you don't need to strip tags first.

What does 'Remove duplicates' actually compare?

It compares addresses case-insensitively, so 'Jane@Example.com' and 'jane@example.com' are treated as the same address and only the first occurrence is kept, with its original casing preserved in the output.

Does the 'Sort A–Z' option change which addresses are found or removed?

No. Sorting only changes the order the final list is displayed and exported in — it happens after extraction and deduplication, so the set of addresses in the result is identical whether sorting is on or off.

What does the downloaded CSV file look like?

A single column with the header 'Email' and one address per row, using standard comma-separated-values formatting — it opens directly in Excel, Google Sheets, or any spreadsheet app, and imports cleanly into most CRM and mailing-list tools.

Can this tool verify that an extracted address actually exists or can receive mail?

No. It only checks that text matches the shape of a valid email address — it doesn't perform any DNS lookup, mail-server check, or verification of deliverability. Use a dedicated email-verification service if you need to confirm an address is live before sending to it.

Is there a limit to how much text I can paste in?

There's no hard-coded limit, but extremely large inputs (many hundreds of thousands of characters) may take a moment longer to process since everything runs synchronously in your browser.

Is my text uploaded to a server?

No. All extraction happens locally in your browser using JavaScript. No network request is made, and nothing you paste — or any email address found in it — is stored or transmitted.

Email Extractor — Pull Every Email Address from Any Text

Our Email Extractor scans any block of pasted text — a webpage's HTML, a document, a log file, a spreadsheet export — and pulls out every email address it can find, one per line, ready to copy or download. Toggle duplicate removal on or off, and optionally sort the results alphabetically. A live count shows how many addresses were found, how many are unique, and how many duplicates were removed. Nothing is uploaded — everything runs instantly in your browser.

Quick Answer

An Email Extractor scans any pasted text — a webpage, document, or log file — and pulls out every email address it contains, one per line. Remove duplicates or sort the results alphabetically, then copy the list or download it as a CSV. Free, and everything runs instantly in your browser — nothing is uploaded.

Your text

Extracted emails

Extracted email addresses will appear here

How to Use the Email Extractor — Extract Email Addresses from Text

1
Paste any text, HTML, or document content into the input box.
2
Every email address it contains is extracted instantly and listed below, one per line.
3
Toggle 'Remove duplicates' off if you want to keep every occurrence, including repeats.
4
Toggle 'Sort A–Z' on to alphabetize the results instead of keeping their original order of appearance.
5
Click 'Copy' to copy the list, or 'Download CSV' to save it as a spreadsheet-ready file.

Why Use Email Extractor — Extract Email Addresses from Text?

Pulling email addresses out of a pile of text by hand — a scraped webpage, a forwarded email thread, a PDF that's been copy-pasted, a CSV export gone wrong, a customer feedback log — is tedious and error-prone, especially once there are more than a handful scattered through unrelated content. This tool automates that: paste any text and it scans the whole thing using a practical email-matching pattern, pulling out every address it finds regardless of what else is mixed in around it (URLs, names, sentences, HTML tags). Duplicate removal is on by default, since a scraped page or thread usually repeats the same address multiple times, but it can be turned off if you specifically need every raw occurrence. Sorting is off by default, keeping addresses in the order they were found in your source, but can be turned on for an alphabetized list when that's more useful — for example, before scanning for a specific domain. Once you have your list, copy it straight to the clipboard for pasting into an email client's BCC field, or download it as a CSV with a single 'Email' column, ready to import into a spreadsheet, CRM, or mailing list tool. Everything runs locally in your browser using a single regular-expression pass over the text, so even long documents are processed instantly with no upload or server involved.

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