ToolNestFree Online Email Extractor
Last updated: October 14, 2026
Quick answer: Got a wall of text with email addresses scattered through it? Paste it into our free email extractor and get a clean list of every address in one click — duplicates removed, optional lowercase normalization, and sortable alphabetically or grouped by domain. It even rebuilds obfuscated emails written like name at example dot com, which most extractors miss entirely. Export the result as a .txt list or .csv file. Everything runs in your browser — your data never leaves your device.
0Found
0Unique
0Domains
✓ Free forever · ✓ No signup · ✓ Tool inputs stay in your browser — never sent to our servers.
How to Use the Email Extractor
- Paste any text into the box — HTML source, CSV rows, forum posts, logs, email signatures, anything.
- Choose your options: remove duplicates (on), lowercase all (on), strict format filter (on), and optionally the "at / dot" obfuscation rebuild.
- Pick a sort order: original order, A–Z, or grouped by domain for list building.
- Click Extract Emails — the stats (found / unique / domains) update instantly.
- Copy the list or download it as a .txt file (one address per line) or a .csv file (with an email column) for your spreadsheet.
Why Use Our Email Extractor?
- Obfuscation rebuild — reconstructs emails written as name at example dot com, the anti-scraper trick bloggers and forums use; competitors miss these entirely.
- Deduplication + lowercase — [email protected] and [email protected] collapse to one clean entry automatically.
- Group by domain — see all gmail.com, company.com, and university addresses clustered together for list segmentation.
- Strict format filter — drops malformed matches (double dots, missing TLD, stray punctuation) so the list is ready to use.
- TXT and CSV export — one click each: a line-separated .txt or a proper .csv that opens cleanly in Excel and Google Sheets.
- 100% client-side and private — extraction runs on a local regex; your text is never uploaded, stored, or seen by anyone.
Common Use Cases
- Sales & outreach list building: Sales reps pull contact emails out of exported lead lists, conference attendee notes, and partner directories into a deduped CSV in seconds instead of copy-pasting addresses one by one.
- Recruiter candidate cleanup: Recruiters extract emails from resume dumps, LinkedIn exports, and job-board CSVs, then group by domain to spot duplicates and agency addresses.
- Data cleanup & migration: Analysts strip addresses out of messy log files, support-ticket exports, and legacy spreadsheets — the strict filter drops the malformed junk automatically.
- Research & journalism: Researchers collect contact emails scattered across papers, reports, and press releases into one clean list for source outreach.
- De-obfuscating forum contacts: Community managers recover the name at domain dot com addresses users post to dodge scrapers — a pattern other free extractors simply miss.
Email Extractor vs Alternatives
- BounceCheck's Email Extractor: A polished free extractor with file uploads (.txt/.csv/.html) and a one-click upsell into their paid verification service. Strong if you'll verify with them anyway — but no obfuscation rebuild, no group-by-domain view, and the page exists to funnel you to paid verification. Ours is verification-neutral with the obfuscation rebuild they lack.
- TextGround's Email Extractor: Clean free tool with dedupe, lowercase, sort, and group-by-domain options plus domain statistics — the closest competitor. But no "at / dot" obfuscation reconstruction and its export is text-only; ours adds the obfuscation rebuild and a proper .csv download.
- ChunkyMunster's Email Extractor: Simple paste-and-extract with dedupe and a regex explainer aimed at developers. Fast and honest — but bare-bones: no lowercase normalization, no sorting, no domain grouping, no export options beyond copy. Ours covers all of that plus CSV export.
- MailMiner's Email Extractor: Privacy-first extractor with document uploads (PDF, Word, PowerPoint) processed locally — genuinely useful for files. For plain text, though, its output options are thinner and it has no obfuscation handling. Ours is the text-focused specialist with the obfuscation rebuild.
Bottom line: if you're extracting from Word or PDF files, MailMiner's document upload is handy. For everything else — especially text with obfuscated at / dot addresses — this page finds more addresses and gives you a cleaner, export-ready list.
Frequently Asked Questions
How do I extract all email addresses from text?
Paste the text into the extractor above and click Extract Emails. The tool scans with a practical email-pattern regex, removes duplicates, and returns a clean list — one address per line — ready to copy or download as TXT/CSV.
What email formats does the extractor find?
Standard addresses ([email protected]), plus-addressing ([email protected]), subdomains ([email protected]), hyphens and dots in the local part. With the obfuscation option on, it also rebuilds name at example dot com style addresses that spammers' scrapers are designed to dodge.
Does it remove duplicate emails?
Yes — duplicate removal is on by default. Combined with lowercase normalization (also on by default), [email protected] and [email protected] count as the same address and appear once.
Can I extract emails written as 'name at example dot com'?
Yes. Tick Rebuild "at / dot" obfuscation before extracting. The tool converts common obfuscations — at → @, dot → . — back into real addresses. It's off by default so normal words like "at" in prose never create false positives.
How do I export the extracted emails?
Three ways: Copy list puts the addresses on your clipboard; Download .txt saves one-address-per-line for any system; Download .csv saves an email-column spreadsheet that opens directly in Excel or Google Sheets.
Is the email extractor free?
Yes — completely free, unlimited extractions, no account or signup.
Is my data private? Is anything uploaded?
Completely private. Extraction runs in your browser with JavaScript regex; nothing is sent to a server, no cookies are set, and closing the tab clears everything.
Is extracting email addresses legal?
Extracting is a text-processing operation, but what you do with the addresses matters. Only extract from content you own or have permission to use, and comply with email-marketing laws like CAN-SPAM (US) and GDPR (EU) before sending anything — unsolicited bulk email to harvested addresses can violate both.
Why do some tools show an 'invalid' email I pasted?
Because a string can match the shape of an address (user@domain) without the domain existing. This extractor's strict format filter rejects malformed matches — but format validity is not deliverability. For sending, run the list through an email verification service to catch dead addresses.