TextMiner – Text Data Extractor
Easily extract emails, phone numbers, URLs, or custom patterns from text.
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Text Data Extractor
Example Inputs
Pattern Reference
Standard email addresses
user@example.com
phone
Phone numbers in various formats
+1 (555) 123-4567
url
Web URLs (http/https)
https://example.com
Custom Regex Examples
Postal Code
UK postal codes
Pattern: \b[A-Z]{1,2}\d[A-Z0-9]? ?\d[A-Z]{2}\b
Example: SW1A 1AA
Social Security
US Social Security Numbers
Pattern: \b\d{3}-\d{2}-\d{4}\b
Example: 123-45-6789
IP Address
IPv4 addresses
Pattern: \b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b
Example: 192.168.1.1
Date
ISO format dates (YYYY-MM-DD)
Pattern: \b\d{4}-\d{2}-\d{2}\b
Example: 2024-02-16
Credit Card
Credit card numbers with separators
Pattern: \b\d{4}[- ]\d{4}[- ]\d{4}[- ]\d{4}\b
Example: 1234-5678-9012-3456
Key Features of TextMiner
Extract structured data with advanced options.
Email Extraction
Extract all email addresses from text.
Phone Number Extraction
Find and extract phone numbers in various formats.
URL Extraction
Identify and extract all URLs from text.
Custom Patterns
Use regex to extract custom data patterns.
Export Options
Download extracted data as .txt or .csv files.
How to Use
Simple 4-step process
Step 1
Paste text or upload a file for extraction.
Step 2
Select data types to extract (emails, phones, URLs, custom regex).
Step 3
Run the extraction to display results instantly.
Step 4
Copy or download extracted data as .txt or .csv.
Frequently Asked Questions
Everything you need to know about our process, pricing, and technical capabilities.
See Full FAQEmails, phone numbers, URLs, and custom regex patterns.
Yes, upload text files for extraction.
No, all operations are performed locally in your browser.
Yes, it is free to use and available online.
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