What Extract Emails helps you do

Collect unique email addresses from mixed text, logs or HTML. It scans the paste for address-shaped strings and deduplicates them, which is much faster than finding them by hand. The result is a contact candidate list, not a verified mailing list.

Extraction runs in your browser. The addresses you paste are not uploaded to Haivix.

How it works

These tools scan the pasted text in the browser with a pattern or parser and return the matches in first-seen order. Extraction is a candidate list, not a verification step: an email-shaped string may not be deliverable, a URL may not resolve, and a number may be part of a date or an identifier. Nothing is uploaded, and the source text is never changed. The result is a snapshot of the pasted text; editing the source afterwards does not update the list.

How to use Extract Emails

Paste the text, log or HTML that may contain addresses.
Extract the unique email addresses.
Check a few matches in context for false positives.
Copy the list for a contact export or review.

When to use it

Pull contacts out of a pasted email thread.
Collect addresses from a log or CRM export.
Build a deduplicated email list from raw text.
Find reply-to addresses in a copied support thread.
Audit a page or template for exposed addresses.
Prepare a list for a manual outreach review.

When not to use it

Do not use it as a mail-merge list without checking every address.
Do not expect it to validate deliverability or ownership.
Do not use it to harvest addresses you have no permission to contact.

Example

Pasting a paragraph containing two addresses returns both once, even if one appears twice. An address followed by a comma loses the comma because trailing punctuation is trimmed. An obfuscated form such as name at example dot com is not recognized.

What you can do with Extract Emails

Find address-shaped strings in prose, logs or markup.
Return each address once, in first-seen order.
Ignore case when deduplicating.
Strip trailing punctuation from a match.
Copy the list for review or export.
Run the scan locally with no upload.

Example: check the matches on a sample

Paste a short sample first and count the expected matches by eye. Compare that count with the result before running a large file, because a missing match is easier to spot in a small sample.

Read a few matches in context to catch false positives. A phone-like number inside an order ID, or a URL inside a code snippet, is common and should not be treated as a contact or a live link.

Copy the list and keep the original. If the extraction feeds a mail merge or a report, verify a sample of the destinations rather than assuming every match is valid.

If the result is empty, check the input format before assuming the tool is broken. A bare domain without http, an address split across a line, or JSON with a trailing comma are common reasons for no matches.

For a list that will be contacted or published, keep the source and the extracted list side by side. The source is the only way to resolve a questionable match or explain why one was missed.

What to know before you start

It uses a pattern match, so unusual or obfuscated addresses may be missed.
It cannot verify that an address is deliverable; it only finds text that looks like one.
It strips trailing punctuation but does not repair malformed addresses.
It does not extract display names alongside the address.

Common mistakes

Treating every match as a verified, deliverable address.
Assuming an obfuscated or unusual address will be found.
Ignoring the context around a match that is actually an example or a placeholder.
Using the list for outreach without permission.

Troubleshooting

If an address is missing, it may contain an unusual character or be split across a line break.

If a match includes punctuation, check the edge; trailing punctuation is trimmed but an internal one may remain.

If duplicates remain, the addresses differ by case or by a hidden character.

If the list is empty, the text may not contain an address-shaped string.

Extract Emails