The Personal Email Filter scans any list or block of text for strong person-name-associated addresses, such as john.smith@example.com, sarah_jones@gmail.com, or raj.kumar@company.in. Role mailboxes and random-looking usernames are excluded before results are shown.
Results include only the useful Name, Email, Website and Country columns. Business versus free/personal provider type, domain, TLD and country remain available as internal dimensions for the Advanced Filters section without requiring another extraction.
Everything runs locally in your browser using JavaScript, which means nothing you paste is uploaded, stored, or shared. Extract once, combine filters and sorting on the processed dataset, then copy or export only the rows currently shown.
Features of Personal Email Filter
- Recognises common first-name/surname patterns across dotted, underscored, hyphenated and joined addresses.
- Removes role mailboxes and random-looking usernames instead of treating every Gmail or Yahoo address as personal.
- Reads names, websites and explicit country context from surrounding text and uses reliable ccTLDs when available.
- Removes duplicates case-insensitively so each personal address appears only once in the result.
- Lowercases addresses for consistency and offers optional alphabetical sorting for readability.
- Works on both structured lists and unstructured text since it scans for any valid address.
- Shows scanned, person-name, filtered-result and duplicate statistics.
How to use Personal Email Filter
- Paste your list or any text containing email addresses into the input box.
- Toggle Remove duplicates, Lowercase, and Sort A to Z depending on how tidy you want the list.
- Click Extract person-name emails to process the content once.
- Use Advanced Filters to combine email type, searchable TLDs, countries and domain search.
- Sort the currently filtered rows by name, email, website, country or domain/TLD.
- Copy or export the currently filtered four-column result as TXT or CSV.
Benefits of Personal Email Filter
- Focuses outreach and research on addresses that appear associated with a real person.
- Improves segmentation without confusing a free provider with a verified personal identity.
- Saves time versus manually reviewing names, role accounts and domains.
- Keeps the result tidy with deduplication, lowercasing, combined filtering and sorting.
- Processes sensitive lists privately because nothing you paste is ever sent to a server.
- Gives transparent counts so you can see extraction and post-filter changes.
The email type filter classifies known free providers such as Gmail, Yahoo, Outlook, Hotmail, AOL, iCloud, Proton, Zoho, GMX and Mail.com as Free / Personal; custom domains are Business for filtering purposes only. This does not verify a person, company or mailbox.
Country is never inferred from a person's name. Generic domains such as .com, .net, .org, .io, .ai and .co remain Unknown / Global unless the supplied input contains reliable explicit country context. Review heuristic results before relying on them for outreach.
The extractor accepts plain text, copied HTML, URLs, TXT files and CSV files because it searches the supplied browser-side content rather than expecting one rigid format. It normalises case for duplicate comparison, keeps the first useful occurrence, and preserves a readable four-column result for spreadsheet workflows. Name detection is deliberately conservative: a strong two-token pattern is preferred over guessing from an ambiguous single word. This reduces noisy matches and makes the resulting list easier to review before a campaign.