Extract web links from pasted text into a unique list. Gather references from notes, emails, or article drafts for manual review.
How to use
Paste text containing full HTTP or HTTPS addresses. Copy the results and inspect trailing characters. Exact duplicates are removed; links are not visited.
Example
See https://example.com/docs. returns https://example.com/docs without the final sentence period.
FAQ
Does it find bare domains?
No. Addresses need http:// or https://. The tool does not check availability, destination safety, or redirects.
Related tools
A practical task
For a reading list, inspect each extracted link before saving it. A URL can carry a tracking query, a fragment, or punctuation copied from a sentence. Keep useful parameters and remove only characters you can identify as outside the address.
Another useful question
Does extracting links download the pages?
No. It finds address strings in the pasted material. Reachability, redirects, access restrictions, and destination content remain untested.
Details for interpreting the result
| Detail | Explanation |
|---|---|
| Extracted values | Extraction identifies text that matches a rule. It does not establish that the result is a real person, a working address, or a valid business value. Validate the extracted data according to its intended use. |
| Pattern and literal search | A literal search matches the typed characters. A regular expression describes a pattern with operators. Characters such as dots and brackets have different roles in the two systems, so choose the right search mode. |
| Case sensitivity | Case sensitive matching distinguishes capital and lowercase letters. Ignoring case merges some of those distinctions, but it does not turn different spellings or word forms into the same term. |
| Literal separators | A literal separator is an exact sequence of characters, including any spaces. A comma and a comma followed by a space are different separators. Match the source consistently before extracting or exchanging fields. |
| Similar looking text | Two strings can look identical but use different Unicode sequences. An accented letter can be stored directly or as a letter plus an accent. Visual similarity alone does not establish byte equality. |
| Column headers | Headers provide names for columns; they are not extra data values. Keep their order aligned with each row. When building objects, duplicate header names create ambiguity about which value belongs to a key. |
| Strings and values | The JSON string "12" differs from the number 12, and "false" differs from false. Type changes affect comparisons and imports. Keep identifiers as strings when their leading zeros or exact digits matter. |