Tip: presets are handy patterns — phone numbers use a lenient international format. For precise results, refine with a custom regex.
How to extract data from text
- Paste your raw text — log files, exported lists, scraped pages — into the input area.
- Choose a preset extractor such as emails, phone numbers, URLs or IP addresses, or switch to delimiter mode to split lines into columns.
- Custom delimiters and custom regular expressions are supported when the presets do not match your format.
- Enable deduplication to remove repeated values from the result.
- Copy the extracted results or export them for use in a spreadsheet.
Frequently Asked Questions
What kinds of data can it extract?
Emails, phone numbers, URLs, IP addresses, ID numbers and more via presets — plus anything you can express with a custom regular expression.
Can I use my own regular expression?
Yes. Switch to the custom regex mode and enter your pattern; matches are listed with deduplication optionally applied.
How does column splitting work?
In delimiter mode each line is split by your chosen delimiter (comma, tab, semicolon, custom) into columns, which you can copy as structured text.
Is the text processed locally?
Yes. Extraction runs in your browser, so sensitive logs or customer lists are never uploaded anywhere.