How to extract emails from text in 3 steps
The whole process takes under a minute and works the same on desktop and mobile.
- 1
Paste your raw text
Copy from anywhere — a spreadsheet column, a CRM export, an email thread, a JSON payload, a web page or a server log — and drop it into the input box. The bulk email parser reads up to 50,000 characters at a time and ignores whatever markup, punctuation or delimiters surround each address.
- 2
Choose how to clean the list
Switch on duplicate removal to collapse repeats, sort alphabetically for easier review, keep business domains only to strip Gmail and Yahoo addresses, and exclude role accounts to drop noreply@ and postmaster@ senders that will never reply.
- 3
Copy or export clean results
Copy the finished list to your clipboard in one click, download a plain TXT file, or export a structured CSV or XLSX with separate Email, Domain and TLD columns ready to import into your CRM or sending platform.
What this email list cleaner does
100% private by design
The extraction engine is JavaScript running on your own device. Your prospect lists and internal exports are never transmitted to a server, so there is nothing to breach, log or subpoena.
Instant results as you type
No upload, no queue, no processing screen. Results and metrics recalculate on every keystroke, even at the full 50,000-character limit.
Business-domain filtering
One toggle removes addresses on roughly 45 consumer mailbox providers, leaving only company domains worth routing to a sales rep.
Reads messy source formats
JSON, HTML source, CSV rows, log files, email headers and pasted PDF text all parse correctly. The pattern matcher targets the address, not the wrapper.
Structured CSV and XLSX export
Pro exports split every address into Email, Domain and TLD columns, so you can pivot by company, split territories or dedupe against an existing account list.
Live list quality metrics
See total matches, unique addresses, the share on business domains and how many duplicates were collapsed — before you commit the list to a campaign.
Supported formats and common use cases
If you can copy it as text, the parser can read it: CSV and spreadsheet columns, JSON and API responses, HTML source, Markdown, server and SMTP logs, email headers and signatures, PDF text selections, chat exports and pasted web pages.
Sales & SDR teams
Turn a conference attendee PDF, a scraped directory page or a forwarded thread into a clean prospect list. Filter to business domains, export the CSV, and import it straight into your sequencer without a manual cleanup pass.
Recruiters
Pull candidate contacts out of bulk applicant exports, sourcing spreadsheets and long email chains. Duplicate removal keeps a candidate who applied to three roles from receiving the same outreach three times.
Marketing & ops
Clean list uploads before they reach your ESP. Deduplicating and dropping role accounts up front protects your sender reputation and stops you paying for contacts that were never deliverable.