How to use Data Extractor
Paste the source text, choose whether to extract emails, URLs, phone numbers and numbers, then review the deduplicated result groups.
What the tool does
Extract email addresses, URLs, phone numbers and numeric values from pasted text in one organised result.
Supported inputs
Source text.
Actual output
Separate extracted results for email addresses, URLs, phone numbers and numeric values found in the source text.
Privacy and processing
Processing runs in the browser unless the tool clearly states that a public network request is required.
Limitations
The result depends on the supplied text and selected transformation. Keep the source text, review formatting and character changes, and check the final copy in its destination before replacing the original.
Common mistakes
Check source text, keep units and formats consistent, and review the result before using it in another calculation or workflow.
Frequently asked questions
What can I use Data Extractor for?
Extract email addresses, URLs, phone numbers and numeric values from pasted text in one organised result.
What input does Data Extractor accept?
Source text.
What should I check after using Data Extractor?
The result depends on the supplied text and selected transformation. Keep the source text, review formatting and character changes, and check the final copy in its destination before replacing the original.
Related tasks and guides
- Reading, Speaking and Typing Time Calculator — Estimate reading, speaking and typing time from supplied text and the selected speed assumptions.
- Readability Score Calculator — Calculate readability using text, then review the result and supporting breakdown.
- Word Frequency Analyser — Analyse pasted text to count repeated words and review the most frequent terms.
- Line Sorter and Duplicate Remover — Process lines using lines and sort order.
