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Extract text patterns

Extract common email, HTTP(S) URL or number patterns from local text without opening them.

Each input: 128 KiB, 65,536 UTF-16 units and 5,000 lines; 256 KiB combined. Full output plus parts: at most 512 KiB, with 5,000 lines in the full text and each part, and 100 parts; 5-second deadline. Output converts CR/CRLF into LF. The original remains in the field.

This selection controls comparison, letter case and cluster boundaries; it does not change the site interface language.

ASCII email candidates up to 320 units, URLs starting with http:// or https:// up to 2,048 units, and signed ASCII decimal numbers. Longer candidates are skipped completely, and common trailing punctuation is removed from URLs. These are pattern candidates, not comprehensive validation of every Unicode email or URL; no custom regex or address-existence checks. Results remain text and URLs are never opened or fetched.

How to use

Paste text and choose emails, URLs or numbers. Enable unique matches to keep only the first occurrence of each exact match. Process, then copy the list or download it as text.

Try an example

The text a@example.invalid, then b@example.invalid, then a@example.invalid produces three ordered matches; unique matches keeps only the first two addresses.

Support & limits

Email uses an ASCII pattern: up to 64 local-part characters, 253 domain characters and a 2–63 letter final domain label; candidates are limited to 320 units. URLs start with http:// or https:// and stop at whitespace, quotes or angle brackets; candidates are limited to 2,048 units. Longer candidates are skipped completely, and common trailing punctuation and unmatched closing brackets are removed from URLs. Numbers are signed ASCII decimals retained as text. These are not custom regexes or comprehensive validation of Unicode addresses; no URLs are opened or fetched. No matches is a valid empty result.

Common questions

Does extraction verify that an email or website exists?

No; extraction uses only the supported text patterns and can miss valid forms or return candidates that need your review.

Related tools

Remove duplicate lines

Keep the first occurrence of each line using your rules.

Filter lines

Include or exclude lines containing literal text, with an explicit case-sensitivity policy.

Split text into parts

Split by grapheme count, a literal delimiter or a page marker, then download the complete text and individual parts.