Email Extraction

Email extraction is the process of automatically identifying and extracting email addresses from text content, documents, web pages, or any other text-based sources. This tool uses advanced pattern recognition to find valid email addresses and provides detailed analysis of the results.

Key Features

Real-time Extraction

Instantly extract emails from any text content

Email Validation

Automatically validate email format and structure

Domain Analysis

Analyze email distribution by domain

Duplicate Detection

Identify and filter duplicate email addresses

Export Options

Copy to clipboard or download as text file

Advanced Filtering

Filter by domain or validity status

How to Use

Input Your Text

Paste any text content containing email addresses into the text area. This can be from emails, documents, web pages, contact lists, or any other text source.

Extract Emails

Click the "Extract Emails" button to automatically scan and extract all email addresses. You can also use "Load Sample" to see how the tool works with example data.

Review Results

View the extracted emails in a detailed table with validation status, domain information, and source location. Use filters to focus on specific domains or valid emails only.

Export or Copy

Copy individual emails or export all results to clipboard or download as a text file. Perfect for building contact lists or data analysis.

Common Use Cases

Business & Marketing

• Extract contacts from business documents
• Build email lists from web content
• Clean and validate existing contact databases
• Analyze competitor contact information

Data Processing

• Process large text files for email addresses
• Extract emails from CSV or text exports
• Validate email formats in datasets
• Remove duplicates from contact lists

Privacy & Security

All email extraction is performed locally in your browser. No data is sent to external servers, ensuring your content remains private and secure. The tool respects privacy and should be used responsibly in compliance with applicable data protection regulations.