Free email extractor — pull every address out of any text

What the extractor picks up

The extractor scans whatever you paste for anything shaped like an email address, then cleans the result so the list is usable straight away.

• Plain addresses, including ones with dots, plus signs, hyphens and multi-part domains like .co.in.
• Obfuscated addresses: “sales [at] tcs [dot] com” and “(at)/(dot)” variants are rebuilt.
• Duplicates are removed, and every address is lower-cased so Ravi.K@ and ravi.k@ count once.
• Each address is listed with its domain, and the top domains are counted — useful for spotting which companies a thread involves.

Where it’s useful

Anywhere addresses are buried in text you didn’t write: long email threads with many people on copy, event attendee pages, exported chat logs, scanned-and-copied visiting cards, supplier directories, or a CSV where emails are mixed into a notes column.

Files are read locally. Text, CSV, HTML, vCard (.vcf), JSON, Markdown and .eml files all work; for a PDF, copy its text and paste it in.

Extracting is not the same as finding

An extractor only returns addresses that are already written in the text. If the person you want isn’t on the thread or the page, there’s nothing to extract — you need a contact finder that looks the person up.

EazyReach does that from a LinkedIn profile: the work email and the direct mobile, checked against LinkedIn, MCA records and the company website. To guess a format instead, use the free email permutator.

Use extracted emails responsibly

Personal data in India is covered by the Digital Personal Data Protection Act, 2023. Before you add extracted addresses to a marketing list, make sure you have a legitimate reason to contact each person and that your emails include a clear way to opt out. Never send bulk mail to lists you did not collect yourself or that people did not agree to.