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Extract Email Addresses

Pulling every email address out of a messy block of text by hand is slow and easy to botch. This free email extractor scans any text, finds every valid email address, removes duplicates and lists them one per line — instantly and privately in your browser.

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What is a Email Extractor?

An email extractor scans a piece of text and pulls out every string that looks like a valid email address. It uses a pattern match for the familiar structure — a local part, an @ symbol and a domain — and returns the results as a clean list. This is the fastest way to find email addresses in text when they are buried in threads, exports, documents or scraped pages.

It is smart about duplicate removal to improve your contact list, so the same address that appears five times is listed only once. Each result is shown one per line, ready to copy into a CRM, spreadsheet or mailing tool. You can paste a whole email thread, a CSV of notes, or a paragraph of contact details.

People use an email extractor to build contact lists, to migrate contacts out of old systems, to harvest leads from sign-up exports, and to audit a document for stray addresses. Because it runs entirely in your browser, nothing you paste is uploaded, which makes it safe for private customer data.

How to use the Email Extractor

Paste your text into the input box — a paragraph, an email thread, or an exported list.
The extractor scans the text and lists every unique email address in the output, one per line.
Read the total count shown as “N emails” to know how many unique addresses you found.
Click Copy to place the list on your clipboard, or Clear to start over.

Example

Input: Contact support@example.com or sales@toolcubby.com, and reach support@example.com again.

The extractor finds both addresses, removes the duplicate, and returns support@example.com and sales@toolcubby.com — a count of 2 unique emails.

Who is this Email Extractor for?

Emails hide in threads, documents and spreadsheets. Pulling them out cleanly is a common task for anyone building a contact list.

Developers: extract email addresses from logs, test data or raw files to populate a database.
Writers and content creators: collect the contacts mentioned in a document or old correspondence.
Marketers: build a prospect list from a text export, and only keep the well-formed addresses.
Analysts: pull every email out of a large text dump and de-duplicate them for a clean dataset.

Valid email format reference

The extractor matches addresses that follow the standard local@domain format. The table shows what qualifies as a valid email address.

Example	Format status
user@example.com	valid
first.last+tag@sub.example.co	valid
user@localhost	invalid
plainaddress	invalid
user@example	invalid
user@@example.com	invalid

Common use cases

Building a contact list from old email threads and correspondence.
Migrating contacts out of a legacy system or a spreadsheet of notes.
Pulling leads from an exported sign-up or enquiry file.
Auditing a document or page for stray email addresses before publishing.

Pro tips

The extractor lists unique addresses only, so a contact that appears many times is counted once.
Paste only the text you need extracted — long irrelevant content can slow the scan down.
Always check the extracted list for typos and defunct domains before you use it for outreach.
Use the count to sanity-check the size of a list; a near-zero count means the text may not contain real emails.

FAQ

What counts as a valid email address?

The extractor matches the standard structure of a local part before the @ symbol, a domain, and a top-level domain of two or more letters, so things like support@example.com are detected.

Does it remove duplicates?

Yes. It lists each unique address only once, no matter how many times it appears in the text.

Will it pick up emails with the new top-level domains?

Yes — it matches any string that looks like a valid local part followed by an @ and a domain ending in two or more letters.

Can I paste a whole email thread?

Yes. Paste as much text as you like and the extractor will scan all of it for addresses.

Is my data uploaded or stored?

No. Extraction runs entirely in your browser, so nothing you paste leaves your device.

How are results formatted?

Each email address is listed on its own line, ready to paste into a spreadsheet or CRM.

Does it handle valid but unusual addresses?

It uses a practical pattern that catches most typical addresses; uncommon cases such as quoted local parts may not be detected, so review the result.

Is it free?

Yes, free and unlimited with no signup required.