How do I extract all email addresses from a block of text?

Paste the text, then enter a pattern like [\w.+-]+@[\w-]+\.[\w.-]+ and the extractor runs it globally so every address is listed, not just the first. If you only want the domain part, wrap it in a group like [\w.+-]+@([\w-]+\.[\w.-]+) and switch the output to capture group 1. Turn on deduplicate if the same address appears more than once and you want a clean unique list.

How do I pull all the phone numbers out of a document?

Use a pattern that fits your format, for example \+?\d[\d ()-]{7,}\d for loose international numbers, and the tool collects every hit into the result list. Set one match per line to get a column you can paste straight into a spreadsheet, or join them with a comma to build a single string. The match count at the top confirms how many numbers were found so you can sanity check against the document.

How do I read a capture group instead of the whole match?

Every match row shows the full match and then each numbered group, like $1 and $2. Suppose your pattern is (\d{4})-(\d{2})-(\d{2}) on a list of dates: group 1 is the year, group 2 the month, group 3 the day. Pick a group number in the output selector and the result list shows only that group across all matches, which is the fast way to lift one field out of structured text.

Why do I need the global flag, and does this tool force it?

Without the global flag a regex stops at the first match, which is fine for testing but useless for extraction. This extractor always runs in global mode so you get every match in one go, even if you do not type g yourself. The other flags stay optional: i ignores case, m makes ^ and $ match each line, s lets the dot match newlines, and u turns on full Unicode handling for emoji and non-Latin scripts.

What happens when my regex is invalid?

The tool wraps compilation in a try and catch, so a broken pattern like (unterminated shows a friendly red error message naming the problem rather than crashing or returning a blank page. Fix the pattern, for example by closing the parenthesis, and the result list reappears instantly. This is also how it protects you from a pattern with no matches: you get a clear no matches found note rather than silence.

How is extracting different from find and replace?

Extraction pulls matches out into a separate list and leaves your original text untouched, which is what you want when harvesting data like URLs, IDs, or tags. Find and replace rewrites the text in place, swapping matches for new content. Use this extractor to collect or audit; use a replace tool when you need to transform the document itself. The two pair well: extract to see what will match, then replace once you trust the pattern.

Harvest every URL or email from a wall of text

You have a pasted chat log, a scraped page, or an export full of contact details and you only want the links or the addresses. Drop a URL or email pattern in, and the extractor lists every hit at once. Turn on deduplicate so a domain mentioned ten times appears once, set one match per line, and copy the clean list straight into a sheet or a mailing tool. No manual scrolling and selecting line by line.

Lift one field out of structured log lines

Server logs pack a timestamp, a level, a request id, and a message into each line. Write a pattern with a group around the request id, switch the output to that capture group, and you get a column of just the ids across thousands of lines. Pair it with dedupe to count the distinct requests, or join with commas to feed them into an IN clause for a quick database lookup.

Build a clean keyword or tag list from messy notes

Hashtags, ticket numbers like JIRA-1234, or product SKUs are scattered through meeting notes and tickets. A short pattern collects them all, deduplicate removes the repeats, and you end up with a tidy list to paste into a tracker or a spreadsheet. The live match count tells you how many you captured before you commit to the list.

Verify a pattern before using it in code

Before you trust a regex in a script or a config, paste a realistic sample and watch exactly what it captures, group by group. Seeing the full match next to each numbered group catches the classic mistake of a group landing one character off. Once the extracted list looks right, copy the same pattern into your code with confidence.

Regex Match Extractor: Pull All Matches and Capture Groups

Pull every regex match out of any text, grab a single capture group, dedupe, one per line, copy in one click, all in the browser

Runs locally
Category Developer & DevOps
Best for Formatting, validating, shrinking, or inspecting code-adjacent text.

Pattern

//g

Flags

Source text

Output options

Output groupDeduplicateOne per line

Matches: 3

Result

alice@example.com
bob@toolora.info
alice@example.com

Matches + 2 groups

#	$0	$1	$2
1	alice@example.com	alice	example.com
2	bob@toolora.info	bob	toolora.info
3	alice@example.com	alice	example.com

What this tool does

A regex match extractor that finds every match in your text and lists them, not just the first one. Paste a block of text, type a pattern, and it runs a global match for you so you never have to remember the g flag. Each match shows up with its full text and every capture group beside it, so you can pull the second column of a log line or the domain out of a hundred email addresses in one pass. Toggle the i, m, s, and u flags, choose to output only one capture group, deduplicate repeats, put one match per line, or join everything with a separator you pick. An invalid pattern gives you a plain error message instead of a blank screen, and a live count tells you how many matches were found. Everything runs as plain JavaScript in your browser tab, so the text you paste never leaves the page. 100% client-side, no upload, no account.

Tool details

Input: Files + Text + Numbers; The page exposes text boxes, numeric controls, file pickers, or structured inputs depending on the tool.
Output: Live result + Copy; The result area focuses on usable output, with copy, download, or preview actions when supported.
Privacy: Browser-side processing; The main tool logic does not call an external API, so inputs normally stay in the current tab.
Save / share: Shareable URL state; Key settings are encoded in the URL so another person can reopen the same setup.
Performance budget: Initial JS <= 9 KB; No WASM budget is declared, keeping the tool quick to open on mobile.
Best fit: Developer & DevOps · Developer; Category and role tags drive related tools, internal links, and quick fit checks.

How to use

1. Input

Paste or drop your content into the tool panel.
2. Process

Click the button. All processing is local in your browser.
3. Copy / Download

Copy the result or download to disk in one click.

How Regex Match Extractor fits into your work

Use it in the small gaps between coding, reviewing, debugging, and shipping.

Developer jobs

Formatting, validating, shrinking, or inspecting code-adjacent text.
Preparing snippets for documentation, tickets, commits, or handoff.
Checking a small payload quickly without switching tools.

Developer checks

Run irreversible transforms like minify or obfuscate on a copy.
Keep secrets out of pasted snippets unless the tool explicitly stays local.
Use your normal tests or linter before shipping transformed code.

Good next steps

These links move the current task into a more complete workflow.

Real-world use cases

Harvest every URL or email from a wall of text
You have a pasted chat log, a scraped page, or an export full of contact details and you only want the links or the addresses. Drop a URL or email pattern in, and the extractor lists every hit at once. Turn on deduplicate so a domain mentioned ten times appears once, set one match per line, and copy the clean list straight into a sheet or a mailing tool. No manual scrolling and selecting line by line.
Lift one field out of structured log lines
Server logs pack a timestamp, a level, a request id, and a message into each line. Write a pattern with a group around the request id, switch the output to that capture group, and you get a column of just the ids across thousands of lines. Pair it with dedupe to count the distinct requests, or join with commas to feed them into an IN clause for a quick database lookup.
Build a clean keyword or tag list from messy notes
Hashtags, ticket numbers like JIRA-1234, or product SKUs are scattered through meeting notes and tickets. A short pattern collects them all, deduplicate removes the repeats, and you end up with a tidy list to paste into a tracker or a spreadsheet. The live match count tells you how many you captured before you commit to the list.
Verify a pattern before using it in code
Before you trust a regex in a script or a config, paste a realistic sample and watch exactly what it captures, group by group. Seeing the full match next to each numbered group catches the classic mistake of a group landing one character off. Once the extracted list looks right, copy the same pattern into your code with confidence.

Common pitfalls

Expecting only the first match. A plain pattern stops at hit one, which is why this tool forces global mode; if you copy the pattern into your own code, remember to add the g flag or you will silently miss every match after the first.
Confusing the full match with a capture group. The whole pattern is match zero; parentheses create groups one, two, and so on. If you want just the domain or just the id, put parentheses around that piece and select the right group number rather than reading the entire match.
Letting a greedy quantifier swallow too much. A pattern like <.+> on HTML matches from the first angle bracket to the last on the line, not tag by tag. Use a lazy quantifier like <.+?> or a negated class like <[^>]+> so each match stays tight.

Privacy

The text you paste, the pattern you write, and every match the tool finds are processed by plain JavaScript inside your browser tab. Nothing is uploaded, logged, or sent to a server. One thing to watch: the shareable URL encodes your pattern and options in the query string, so a share link pasted into chat records those in the recipient server access log. The text body is kept out of the URL for long inputs, but for anything sensitive prefer the copy button over the share link.

FAQ

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Regex Match Extractor: Pull All Matches and Capture Groups

What this tool does

Tool details

How to use

1. Input

2. Process

3. Copy / Download

How Regex Match Extractor fits into your work

Developer jobs

Developer checks

Good next steps

Real-world use cases

Harvest every URL or email from a wall of text

Lift one field out of structured log lines

Build a clean keyword or tag list from messy notes

Verify a pattern before using it in code

Common pitfalls

Privacy

FAQ

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