Email Extractor
Extract all email addresses from any text
How to use Email Extractor
Extract all email addresses from any text or document instantly. Copy results to clipboard. Free online email extractor tool.
What is an email extractor used for?
Extracting email addresses from unstructured text is a common data processing task. Doing it manually is error-prone and slow — a regex-based extractor handles it instantly and accurately.
- Building contact lists: Extract emails from a copied webpage, a PDF export, or a block of text from a forum thread to build a contact list.
- CRM data import: Clean up exported data by extracting just the email addresses before importing into a CRM or mailing platform.
- Data auditing: Extract all email addresses from a document to check for invalid formats, duplicate entries, or unexpected domains.
- Email harvesting from source code: Find email addresses embedded in HTML source code, JavaScript files, or configuration files.
- Parsing email threads: Extract all participant addresses from a forwarded email chain to create a distribution list.
Privacy note: Always ensure you have permission to contact extracted email addresses. Unsolicited email (spam) violates GDPR, CAN-SPAM and other regulations, and can result in your domain being blacklisted.
Frequently Asked Questions
What email formats does the extractor recognize?
The extractor recognizes standard RFC 5322 email formats: local@domain.tld, including subdomains (user@mail.example.com), plus signs (user+tag@gmail.com) and hyphens. It does not match obfuscated emails like 'user [at] domain [dot] com'.
Can it extract emails from images or scanned PDFs?
No — this tool only processes plain text. Images and scanned PDFs require OCR (Optical Character Recognition) to convert to text first. Tools like Adobe Acrobat, Google Drive or online OCR services can extract text from images.
Does the extractor validate if the emails are real?
It validates the format (correct structure) but not deliverability. An email like fake@fake.fake has valid format but does not exist. For deliverability validation, use the Email Validator tool — it checks domain existence.
Why might some emails be missed?
Obfuscated emails ('user AT domain DOT com'), emails broken across lines, or emails with unusual but valid characters (unicode domains) may not be detected. The extractor targets the most common formats used in practice.
Can I extract emails from a URL directly?
Not directly — paste the page's text content instead. In a browser, use Ctrl+A, Ctrl+C to copy all text from a page, then paste it here. For automated extraction from many URLs, a web scraping tool would be more appropriate.
Browser extractor vs grep vs Python script
grep on the command line (grep -Eo '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}') is powerful and handles large files, but requires terminal access. A Python script with the re module offers the most control for automated pipelines. A browser-based extractor like this one is the fastest for one-off tasks — no terminal, no code, just paste and extract. For bulk or automated email extraction, a script is more appropriate.