📝 Email Extractor — find addresses in text
Pull every email address out of any pasted text, deduplicated and ready to copy as a clean list. Free, fast and private — runs entirely in your browser with no uploads or sign-up.
How it works
- Type or paste your text into the input box — there is no practical length limit.
- Click one of the operation buttons (Extract email addresses) to transform the text instantly.
- The result appears in the output box; use the Copy button to copy it to your clipboard.
- All processing happens locally in your browser — your text is never uploaded anywhere.
Examples
- Input "Reach ada@example.com or bob.smith@test.org; ada@example.com again." → click "Extract email addresses" → output "ada@example.com ⏎ bob.smith@test.org".
- Paste as much text as you like — long lists and whole documents work, not just short samples.
Frequently asked questions
What does the Email Extractor do?
Pull every email address out of any pasted text, deduplicated and ready to copy as a clean list.
Is my text or data uploaded to a server?
No. The Email Extractor runs entirely in your browser using JavaScript — nothing you type or paste is sent anywhere, and everything disappears when you close the tab.
Is this tool free to use?
Yes, completely free with no sign-up, no watermarks and no usage limits. Email Extractor is part of a collection of free tools where new tools are added after review.
Does it work on phones and tablets?
Yes. The layout is fully responsive and all processing is done on your device, so it works on any modern phone, tablet or computer — even offline once the page has loaded.
Related tools
More Text tools →Word Counter
Count words, characters, sentences and paragraphs instantly, with reading time and keyword density. Free, private, no sign-up — runs in your browser.
Case Converter
Convert text between UPPERCASE, lowercase, Title Case, Sentence case, camelCase, PascalCase, snake_case, kebab-case and CONSTANT_CASE with one click.
Reading Time Calculator
Estimate reading time from word count and a words-per-minute pace.
Word Frequency Counter
Rank the words in a text by how often they appear, privately in the browser.