Pulling useful pieces out of messy text
Extraction tools are built for text that contains the information you need, but not in a convenient shape. They can pull out items such as URLs, email addresses, numbers, domains, hashtags, dates, quoted text, or repeated patterns so you do not have to copy them one by one. This is useful for notes, exports, logs, scraped text, research material, and quick data preparation.
Pattern-based extraction can also collect false positives. A number may be a price, version, date, or identifier; a string that looks like an email address may be sample data. Treat the result as a candidate list and review it before using it for outreach, reporting, or automated processing.