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Extract Every Email Address From Any Text Instantly

Extract, deduplicate, and validate every email address from any text instantly.

What This Does

Finding email addresses buried inside raw text, HTML source, log files, CSV exports, or copied web content is one of the most common and most tedious tasks in development, marketing, and data work. Email clients, CRMs, and database exports often produce messy data where email addresses are mixed with names, domains, metadata, and formatting noise. Manually hunting and copying each address is error-prone and slow. The Email Extractor solves this instantly. Paste any volume of text β€” a webpage's HTML, a spreadsheet export, a block of CSV, a wall of logs, a copied directory listing β€” and the tool extracts every valid email address in milliseconds using a battle-tested RFC 5322-compliant regex pattern. More importantly, it goes beyond simple extraction: it automatically deduplicates the results so each address appears only once, validates the format of each extracted address, sorts the list alphabetically or by domain, breaks down the results by domain so you can see which organizations or providers are represented, and exports the final clean list in whatever format you need β€” plain text (one per line), comma-separated, semicolon-separated, or JSON array. This is significantly more capable than basic online extractors that do nothing beyond the raw regex match and give you unprocessed, duplicate-filled output. The domain breakdown, deduplication, and multiple export formats make it useful for real workflows, not just quick one-off extractions.

Assumptions
  • Β·Email validation uses RFC 5322-compatible pattern: local-part@domain.tld
  • Β·Deduplication is case-insensitive (john@example.com = JOHN@EXAMPLE.COM)
  • Β·All processing runs client-side β€” no data is sent to any server
  • Β·Domain extraction takes the portion after the @ sign for grouping
When Should You Use This?
  • β†’Extracting email addresses from raw HTML source code copied from a webpage
  • β†’Cleaning up a messy CSV or spreadsheet export from a CRM or database that mixes names and emails
  • β†’Pulling email addresses from log files, error reports, or server output
  • β†’Deduplicating an email list that may contain repeated addresses from multiple sources
  • β†’Building a clean contact list from a directory or contact page with mixed formatting
  • β†’Extracting and validating addresses before importing to an email marketing platform
Example Scenario

Marcus is a developer building an email notification system. His team exported a CSV from a legacy CRM with contacts in the format "John Smith <john.smith@acme.com>, CEO" mixed with plain addresses, duplicates from multiple export batches, and some malformed entries. He pastes the entire export (1,200 lines) into the extractor. Within a second: 847 unique valid addresses extracted and deduplicated from 1,094 raw matches (247 duplicates removed). Domain breakdown shows 340 gmail.com, 180 outlook.com, and 327 across 89 unique corporate domains. He exports as comma-separated and imports directly to his notification system.

Paste text, HTML, CSV, or logs

Email Extractor β€” Extract, Deduplicate & Export

Paste any volume of text β€” HTML source, CSV exports, log files, copied directory listings, plain paragraphs β€” and this tool instantly extracts every valid email address using an RFC 5322-compatible pattern. Unlike basic extractors, it automatically deduplicates results, groups addresses by domain, and exports in your preferred format (one per line, comma-separated, semicolon-separated, or JSON array).

Everything runs in your browser. No data is ever sent to a server. Safe for sensitive or proprietary datasets.

What makes this better than basic email extractors?

  • Automatic deduplication β€” each address appears exactly once regardless of how many times it appears in your input
  • Domain breakdown β€” see which organizations or email providers are represented and in what volumes
  • Multiple export formats β€” plain text, comma-separated, semicolon-separated, or JSON array
  • Filter and sort β€” find addresses matching a domain or keyword, sort alphabetically or by domain
  • Works on HTML β€” extracts from mailto: links, visible text, meta tags, and comments simultaneously
  • 100% private β€” all processing is client-side, your data never leaves your browser

FAQs

What email formats does this recognize?

Standard RFC 5322 addresses: local-part@domain.tld. Handles dots, plus signs, hyphens, and underscores in the local part. Recognizes all valid TLDs including long-form ones (.company, .technology, etc.).

Does it work on HTML?

Yes β€” it extracts from mailto: links, href attributes, visible text content, HTML comments, and meta tags all at once.

Is there a size limit?

No hard limit. Runs in your browser β€” inputs up to several megabytes process in under a second on modern devices.

Is my data private?

Completely. No server calls, no logging, no storage. Your text is processed entirely in your browser's JavaScript engine and never transmitted anywhere.

How does deduplication work?

Case-insensitive: john@example.com and JOHN@EXAMPLE.COM are treated as the same address. The first occurrence is kept, subsequent matches removed.

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