How to use
- Paste text that contains email addresses.
- Click "Extract".
- A deduplicated list of email addresses is shown.
🎯 Use Cases
- Pull just the emails out of scanned business-card text
- Collect contact info from a webpage's source
- Clean up a mailbox export
Example
Input
문의: contact@developk.kr, 담당자 test@example.com 회신 주소: contact@developk.kr 지원팀 support@company.co.kr 로 연락 주세요.
Output
contact@developk.kr test@example.com support@company.co.kr
Of the 4 email occurrences in the text, the duplicate contact@developk.kr is merged into one, leaving 3 unique addresses. Results are listed in the order found, one per line.
How addresses are recognized
Finds addresses matching the standard email pattern, deduplicates them, and lists one per line.
| Element | Details |
|---|---|
| Pattern | name@domain.tld — alphanumerics plus ._%+- |
| Output | Deduplicated, one address per line |
| Good inputs | Mail logs, page source, document text — paste it all |
| Limit | Not a full RFC 5322 validator — catches common real-world formats |
FAQ
- Does it recognize every email format?
- It recognizes standard email formats (user@domain.tld) using a regular expression. Unusual formats may be missed.
- Are the extracted emails stored anywhere?
- No. They're only kept in browser memory and disappear when you close the page.
- How are duplicate emails handled?
- Duplicates are removed automatically, leaving only unique email addresses.
- Can look-alike strings be picked up?
- Anything with email shape around @ may be extracted, e.g. user@2x.png — scan the results once.
- Is the text sent to a server?
- No — analysis runs only in your browser and nothing is uploaded.
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