Email Extractor
Free online tool to parse and validate email addresses from text—supports complex formats, filtering, and duplicates removal for clean results.
Enter Text to Extract Emails
Paste your text content below and we'll find all email addresses
Our email extractor is a free utility using regex to identify and validate emails in text, documents, or web content, compliant with RFC 5322 for accuracy across formats. Ideal for marketers, researchers, and developers, it streamlines lead gathering or data prep—featuring domain filters, deduplication, and exports, all processed client-side for privacy and speed.
Common Use Cases for Email Extraction
- ✓Lead Generation
Scan websites or resumes to build targeted email lists for marketing campaigns.
- ✓Data Cleaning
Process datasets or logs to isolate and verify contact emails for CRM imports.
- ✓Market Research
Extract contacts from reports, forums, or articles for surveys and outreach.
- ✓Email Validation
Identify valid formats in user inputs to prevent bounces in newsletters.
- ✓Content Analysis
Parse web pages or documents for emails in SEO audits or compliance checks.
- ✓Spam Detection
Flag suspicious email patterns in text to enhance security or moderation.
Why Choose Our Extractor?
RFC 5322 Compliant Regex
Advanced patterns handle complex formats, subdomains, and international TLDs accurately
Duplicate Removal
Auto-deduplicate results; sort by domain or frequency for clean outputs
Domain Filtering
Include/exclude specific domains (e.g., only .com); case-insensitive options
Bulk Processing
Handle large texts up to 10k chars; real-time preview with validation flags
Export Options
Copy as list, CSV, or JSON; integrates with tools like Excel for further use
Privacy Focused
Client-side extraction; no data transmitted—secure for sensitive content
How to Use the Email Extractor
- Input Text: Paste or type content (e.g., articles, lists) into the textarea
- Set Filters: Choose domain includes/excludes, case options, or validation level
- Extract Emails: Click button; review highlighted results with validity status
- Refine Output: Sort or remove duplicates; check for patterns like +tags
- Export Results: Copy, download CSV/JSON for integration or analysis
Understanding Email Extraction
Example: Input "Contact: john.doe+test@gmail.com or support@sub.example.co.uk" → ["john.doe+test@gmail.com", "support@sub.example.co.uk"].
- Validation: Checks @ presence, no consecutive dots; flags disposable domains optionally
- Output Processing: Array.filter for uniques; map to lowercase normalization
Browser-native via match() and test(); no libraries for lightweight use.
Advanced Features & Capabilities
Disposable Domain Block
Auto-exclude temp-mail or guerrillamail to focus on real contacts.
Batch File Upload
Process .txt or .csv uploads; extract from multiple files at once.
API Integration
Embed extraction in apps; return JSON with metadata like domain counts.
Frequently Asked Questions
What email formats does it support?
Supports standard (user@domain.com), plus addressing (user+tag@domain.com), subdomains (user@mail.domain.com), and international (e.g., 用户@域名.cn) per RFC 5322.
Does it validate emails?
Yes; uses regex to check syntax validity but not deliverability—flags common invalid patterns like missing @ or dots.
Can I filter by domain?
Yes; specify includes (e.g., gmail.com) or excludes (e.g., temp-mail.org) to refine results for targeted lists.
Is there a limit to text input?
Processes up to 50k characters; for larger files, split or use programmatic integration.
What about privacy?
All extraction local; no servers involved—emails aren't stored or sent anywhere.
How does duplicate removal work?
Normalizes to lowercase and exact match; configurable to allow variants like case differences.
Privacy & Best Practices Considerations
This extractor upholds ethical, secure data handling:
- Client-Side Security: Processing in-browser; no logs or transmission of emails
- Usage Tips: Obtain consent for marketing; verify deliverability separately (e.g., via SMTP)
- Best Practices: Comply with GDPR/CAN-SPAM; use for opt-in lists only
- Related Tools: Follow up with URL Extractor for web sources