Email Extractor
Paste any text or drop a .txt, .csv or .html file and instantly pull out every email address: deduplicated, sortable, and grouped by domain. Free, no sign-up, nothing leaves your browser.
Files are read locally with FileReader. Nothing is uploaded.
Ethical use: only extract addresses from text you own or are authorized to process, and honor consent rules (CAN-SPAM, GDPR, CASL) for any outreach.
Results will appear here.
Domain summary will appear here.
How this email extractor works
The tool scans your input with a pattern based on the real structure of an email address: a local part that can contain letters, digits, dots, underscores, percent signs, plus signs and hyphens; an @ separator; and a domain ending in a valid top-level suffix of at least two letters. Every match is trimmed of stray trailing punctuation, deduplicated case-insensitively, and counted, so jane@example.com and Jane@Example.com collapse into one entry. Fragments like name@place with no domain ending are deliberately skipped, because they are almost never deliverable addresses and would pollute your list with false positives.
Everything happens locally. When you drop a file, the browser's FileReader API reads it as plain text on your device; the contents are never sent to a server. That makes the tool safe for cleaning exports that contain customer or candidate data.
Cleaning lists for marketing and recruiting
Marketers and recruiters run into email addresses buried in messy sources all the time: forwarded threads, event signup sheets, scraped HTML pages, CRM notes, conference badge exports. The practical workflow is: paste or drop the source, let the extractor dedupe, sort A to Z to spot near-duplicates, then check the domain summary. The top-domains table tells you at a glance whether a list is mostly consumer mailboxes (gmail.com, yahoo.com) or corporate domains, and flags typos like gamil.com or hotmial.com that a quick eye can catch before you import anything.
Download as .txt when you need a simple newline-delimited list for dedupe or verification tools, or as .csv when you are importing into a spreadsheet or an email platform. For outreach, always verify addresses before sending and keep the source of each address documented: purchased or scraped lists damage sender reputation fast.
Frequently asked questions
How does an email extractor work?
It scans your text with a pattern that matches the structure of an email address: a local part, an @ sign, and a domain with a valid top-level ending like .com or .org. Every match is collected, cleaned of trailing punctuation, and deduplicated.
Is my text uploaded to a server?
No. This email extractor runs entirely in your browser. Files you drop are read locally with the FileReader API and never leave your device.
Which file types can I extract emails from?
Plain text formats: .txt, .csv, .html, .md, .log and similar. The file is read as text, so any emails inside are found. Binary formats like .docx or .pdf are not parsed; paste their contents instead.
Will it catch every email address?
It catches all standard addresses, including dots, plus signs and hyphens in the local part. It intentionally skips fragments like name@place with no domain ending, since those are almost never real deliverable addresses.
Can I use extracted addresses for cold outreach?
Only extract addresses from text you own or are authorized to process, and follow laws like CAN-SPAM, GDPR and CASL for any outreach. Consent-based lists outperform scraped ones on deliverability and replies anyway.