Extract Text
Pull out every email address, URL, hashtag, mention, or number from a block of text automatically.
Matches will appear here
Recommended Settings
Pro Tips
- •Duplicate matches are automatically removed, so each unique result appears only once
- •Switch the extraction type to pull a different kind of pattern from the same pasted text
- •URL extraction requires a full http:// or https:// prefix - bare domains like 'example.com' aren't matched
- •Use Copy All to grab every match as a newline-separated list, ready to paste into a spreadsheet
Most Popular
Most users extract email addresses or URLs from pasted articles, contact lists, or scraped content
When to Use This Tool
Extract every email address mentioned in a document or webpage text.
Gather all the URLs referenced in a piece of content.
Pull every hashtag from a social media post or set of captions.
Extract structured data like emails or numbers from messy pasted text.
How It Works
Scan your input text using a pattern matching the type you select - email format, URL format, hashtags, mentions, or numbers
Collect every match found, removing duplicates
Display the unique results as a list, ready to copy
100% Private
Files never leave your device. All processing happens locally in your browser.
Lightning Fast
Powered by Client-side regular expression matching for optimal performance on modern browsers.
Open Source
Built with verified, open-source libraries. Fully transparent.
Frequently Asked Questions
Does this remove duplicate matches?
Yes, each unique match is shown only once, even if it appears multiple times in your text.
Why didn't a URL get extracted?
URLs need a full http:// or https:// prefix to be recognized - a bare domain like 'example.com' without the protocol won't match.
Can I extract phone numbers specifically?
The Numbers option extracts any standalone number, including phone number digits, but doesn't specifically validate phone number formatting.
Is my data sent to a server?
No. All extraction happens entirely in your browser.
Can I extract multiple types at once?
Not in a single pass - switch the dropdown and re-run the extraction for each type you need from the same text.