Detect & List All Email Addresses
Extract and analyze email addresses from any text with advanced pattern recognition
About Email Address Detection
Our advanced email detection tool uses sophisticated pattern matching to identify and extract email addresses from any text content. Perfect for contact harvesting, data cleaning, validation, and email list management tasks.
Key Features
- Advanced Pattern Matching: Recognizes various email formats and domains
- Domain Analysis: Groups emails by domain and provides statistics
- Validation: Basic email format validation and domain checking
- Duplicate Removal: Automatically removes duplicate email addresses
- Case Normalization: Converts emails to lowercase for consistency
- Export Options: Export results as text, CSV, or JSON
Supported Email Formats
- Standard:
user@domain.com - Subdomains:
admin@mail.company.org - Plus addressing:
user+tag@domain.com - Numbers & dots:
user.name123@domain.co.uk - Special characters:
user-name_test@domain-name.info - International domains:
user@münchen.de
Common Use Cases
- Extract contact information from documents and web pages
- Clean and validate email lists for marketing campaigns
- Data mining and lead generation from text sources
- Email harvesting from business cards and forms
- Contact list compilation and deduplication
- Compliance and data discovery in large text datasets
Domain Analysis Features
- Domain Grouping: Groups emails by their domain names
- TLD Statistics: Analyzes top-level domains (.com, .org, etc.)
- Email Count: Shows how many emails per domain
- Unique Domains: Lists all unique domains found
- Corporate vs Personal: Helps identify business vs personal emails
Privacy & Security
Important: This tool is designed for legitimate purposes such as data processing, contact management, and email validation. Always ensure you have proper consent and follow applicable privacy laws when collecting or processing email addresses.
Export Formats
- Plain Text: Simple list of email addresses, one per line
- CSV: Structured data with email, domain, and TLD columns
- JSON: Detailed format with domain analysis and statistics
Tips for Best Results
- Paste clean text for better extraction accuracy
- Remove extra formatting that might interfere with detection
- Use the domain filter to focus on specific organizations
- Check the validation status before using extracted emails
- Review duplicate removal results for potential variations