Text Extractor Tool

Extract emails, URLs, phone numbers, IP addresses, dates, and custom patterns from any text.

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Extracted Results

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About Text Extractor

Extract specific patterns from any text instantly. Perfect for data mining, web scraping cleanup, contact extraction, log analysis, and text processing. Supports built-in patterns and custom regex.

9 extraction types
Custom regex support
Duplicate removal
Multiple output formats
Real-time extraction
100% private & secure

Custom Pattern Examples:

Credit Cards: \b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b
Postal Codes: \b\d{5}(-\d{4})?\b
Bitcoin: \b[13][a-km-zA-HJ-NP-Z1-9]{25,34}\b

More Examples:

MAC Address: ([0-9A-Fa-f]{2}:){5}[0-9A-Fa-f]{2}
Hex Colors: #[0-9A-Fa-f]{6}\b
SSN: \b\d{3}-\d{2}-\d{4}\b

Complete Guide to Text Extraction & Pattern Matching

Free Online Text Extractor - Extract Emails, URLs, Phone Numbers & More

Extract emails, URLs, phone numbers, IP addresses, dates, numbers, hashtags, mentions, and custom patterns from any text instantly. Our free text extraction tool uses advanced regex patterns to identify and extract specific data types from large text documents, web pages, logs, and data dumps. Perfect for data mining, contact extraction, web scraping cleanup, and text processing.

Extraction Types Supported

📧 Email Addresses

Extract all email addresses from text. Matches standard email formats including subdomains, special characters, and international TLDs. Perfect for building contact lists, lead generation, and data extraction.

🔗 URLs & Links

Extract HTTP and HTTPS URLs from text. Captures complete URLs including query parameters, anchors, and paths. Ideal for link analysis, web scraping, and reference extraction.

📱 Phone Numbers

Extract phone numbers in various formats including US/international formats with country codes, area codes, and different separators (dots, dashes, spaces).

🌐 IP Addresses

Extract IPv4 addresses from logs, configs, or network data. Useful for security analysis, network documentation, and log parsing.

📅 Dates

Extract dates in common formats (YYYY-MM-DD, MM/DD/YYYY, DD-MM-YYYY). Perfect for timeline creation, event extraction, and data organization.

🔢 Numbers

Extract all numeric values including integers and decimals. Useful for price extraction, quantity analysis, and numerical data collection.

#️⃣ Hashtags

Extract hashtags from social media content. Perfect for trend analysis, content categorization, and social media monitoring.

@ Mentions

Extract @mentions from social media posts. Ideal for engagement tracking, user analysis, and social network mapping.

⚙️ Custom Patterns

Use custom regular expressions to extract any pattern. Extract credit cards, postal codes, product codes, serial numbers, or any custom format you define.

🔒 Privacy & Security

All text extraction happens entirely in your browser using JavaScript. Your text and extracted data never leave your device. No data is uploaded to servers, stored, logged, or transmitted anywhere. Perfect for processing sensitive documents, confidential data, and private information with complete security.