Email Extractor

About This Tool

The Email Address Extractor scans any block of text and pulls out all strings that match the standard email address pattern. It handles common address formats including addresses with dots, plus signs, and hyphens in the local part, and multi-segment domain names. Options include removing duplicate addresses (case-insensitively), normalizing all addresses to lowercase, and choosing the output separator.

The extractor uses a standard regex pattern. It will not extract addresses from intentionally obfuscated formats like "user [at] example [dot] com". All processing runs locally in the browser.

How to Use

1. Paste text (emails, HTML, CSV, or any content) into the input or click Sample.
2. Toggle Remove duplicates to deduplicate the list.
3. Toggle Normalize to lowercase for a canonical list.
4. Choose a separator (newline for a list, comma for a CSV column).
5. Copy the extracted email list.

Use Cases

Marketers extract contact emails from exported HTML newsletters or CRM data. Developers pull email addresses from log files to build a contact list. Data engineers extract emails from unstructured user-submitted text for validation. QA engineers pull email addresses from test data files to verify they match expected formats. Recruiters extract applicant emails from bulk-imported resumes or text files.

FAQ

• Does it extract all valid email formats? — It covers the vast majority of real-world email addresses. Very unusual formats like quoted local parts ("user name"@example.com) are not matched.
• Why normalize to lowercase? — Email addresses are case-insensitive in practice. Normalizing ensures that User@Example.com and user@example.com are treated as the same address when deduplicating.
• Will it extract emails from HTML? — Yes. Paste raw HTML and it will find emails in mailto: links, plain text content, and attribute values.
• Is there a limit on input size? — No. The regex runs entirely in the browser and can handle large documents without a server round-trip.