Data Extractor

Paste any text and extract emails, URLs, phone numbers, IP addresses, hashtags, @mentions, numbers, and dates. Color-coded highlights, deduplication, CSV export. 100% client-side — nothing leaves your browser.

Extract:
Pattern: Flags:
Input Text
No data extracted yet
Paste text on the left, choose extraction types, then click Extract.
Total found: 0 Unique: 0 Types: 0
Deduplicate

How to Extract Data from Text

Step 1

Paste Your Text

Paste any text — emails, documents, logs, web pages, spreadsheets, chat transcripts. The messier the better.

Step 2

Choose Extraction Types

Toggle which data types to extract: emails, URLs, phone numbers, IPs, hashtags, mentions, numbers, dates, or use a custom regex.

Step 3

Extract & Export

Click Extract. Results are color-coded and grouped by type. Copy individual items, copy all, or download as CSV/TXT.

Frequently Asked Questions

How do I extract emails from text?

Paste your text into the input area, make sure the "Emails" toggle is active (it's on by default), and click Extract. All email addresses will be identified, color-coded in the original text, and listed in the results panel. You can copy them individually or all at once, and download as CSV or TXT.

What data types can this tool extract?

The Data Extractor supports 8 built-in extraction modes: email addresses, URLs (http, https, www), phone numbers (US and international formats), IPv4 and IPv6 addresses, #hashtags, @mentions/usernames, numbers (integers and decimals), and dates in common formats (MM/DD/YYYY, YYYY-MM-DD, Month DD YYYY, etc.). You can also enter a custom regex pattern to extract any pattern you need.

Is my data safe when using this tool?

Yes. Everything runs 100% in your browser using JavaScript. No data is sent to any server. Your text is never stored or transmitted — making it safe for sensitive documents, emails, contracts, and business data.

Can I extract multiple data types at once?

Yes. Toggle on as many extraction types as you need. Each type is color-coded differently so you can see them highlighted in the original text. Results are grouped into tabs by type, with a Summary tab showing counts for everything.

How does the custom regex mode work?

Enable "Custom Regex" in the toolbar to reveal the pattern input. Enter any JavaScript-compatible regular expression (e.g., \b[A-Z]{2,5}-\d{1,6}\b for JIRA-style ticket IDs). Set flags like gi for global case-insensitive matching. Custom matches appear in their own results tab.

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