i♥Tools
Text Utils

URL Extractor

Extract web addresses from pasted text for review, cleanup, migration, or structured text workflows.

About URL Extractor

Extract web addresses from pasted text for review, cleanup, migration, or structured text workflows.

Key Features

  • Works with text entered or pasted into the tool.

How to Use URL Extractor

  1. Enter or paste the text you want to process.
  2. Review the available settings before running the tool.
  3. Run URL Extractor to process the requested operation.
  4. Review the generated result and use the available download or result controls when provided.

Frequently Asked Questions

What does URL Extractor do?

Extract web addresses from pasted text for review, cleanup, migration, or structured text workflows.

What input does URL Extractor use?

It works with text entered or pasted into the tool.

What can I configure in URL Extractor?

The available controls are shown directly in the interactive tool workspace.

URL extraction focuses on web-address patterns rather than email addresses or numbers

A URL extractor identifies web-address patterns inside larger text. This is useful for reviewing documents, logs, copied pages, research notes or exported content that contains many links mixed with other information.

A detected URL is not automatically safe, reachable or trustworthy. Extraction only identifies the address text; the destination should still be reviewed before it is opened or reused.

Useful URL-extraction workflows

  • Build a review list from text containing many web references.
  • Separate links from notes before a content migration.
  • Inspect link-heavy logs or copied markup more efficiently.

What to check

  • Review duplicate and truncated addresses.
  • Check whether punctuation has been included at the end of a URL.
  • Do not assume an extracted link is legitimate simply because its syntax is valid.

Before relying on the result

Keep the source until you have checked the generated output. The source and destination formats can represent structure, layout and metadata differently, so important documents should be reviewed in the application or device where the result will actually be used.