Extract Emails from Text

What this tool does

Extract Emails from Text scans any pasted content and returns a clean list of the email addresses it contains. You can lowercase and de-duplicate them, keep or drop particular domains, group them by domain and choose a separator ready for a mail client or spreadsheet.

Email addresses end up buried in all sorts of material: signatures in a long thread, a sign-up sheet exported as CSV, the HTML of a contact page or a server log. Picking them out by hand misses some and copies others twice, and a single stray comma or angle bracket stops a mail client accepting the list.

The extractor applies a pattern modelled on the RFC 5322 “dot-atom” form used by practically all real addresses: allowed characters in the local part, then @, then one or more domain labels and a top-level domain of at least two letters. International letters are supported, mailto: links are URL-decoded, and trailing full stops are dropped. An optional step rewrites common obfuscations such as “name [at] example [dot] com”. De-duplication ignores case. Processing is local, so contact lists are not uploaded anywhere.

How to use Extract Emails from Text

1. Paste text, HTML source, a CSV export or log lines into the input box.
2. Keep “Remove duplicates” and “Convert to lowercase” on for a clean mailing list.
3. Turn on “Decode name [at] domain [dot] com” if addresses on the page were obfuscated.
4. Choose an Order: as found, alphabetical, or grouped by domain.
5. Optionally enter domains in “Filter by domain” and pick whether to keep or remove them.
6. Select a separator, such as semicolons for Outlook, then copy or download the list.

Tips for better results

• Paste a page’s HTML source rather than its visible text to catch addresses that only appear in mailto: links.
• Use the exclude filter with your own company domain to list only external contacts from an email thread.
• The domain summary below the result shows which organisations appear most often.
• Gmail ignores dots in the local part, so jane.doe@gmail.com and janedoe@gmail.com reach the same inbox even though they are listed separately.

Common use cases

• Building a recipient list from a spreadsheet column mixed with names and notes.
• Collecting the participants of a long email thread to invite them to a meeting.
• Auditing a website’s HTML for exposed addresses that may attract spam.
• Pulling contact emails out of a support log for follow-up.

Common mistakes to avoid

• Sending marketing email to extracted addresses without consent, which breaches laws such as GDPR and CAN-SPAM.
• Assuming every match is deliverable; the tool checks format only, not whether the mailbox exists.
• Turning off lowercase and de-duplication, which leaves Billing@Example.com and billing@example.com as two entries.