capture groups · json · live

Pull capture groups from every match

Run a regex over sample text and get back a JSON array — one object per match, with numbered and named groups ready to paste anywhere. Runs locally.

Regex Extract Groups
Matches
3
extracted
Groups
6
captured
Flags
g
1 on
Status
ready
live
Flags
input · pattern + text
//g
output · json array
[
  {
    "match": "alice@example.com",
    "index": 0,
    "groups": [
      "alice",
      "example.com"
    ],
    "named": {
      "user": "alice",
      "domain": "example.com"
    }
  },
  {
    "match": "bob@test.org",
    "index": 19,
    "groups": [
      "bob",
      "test.org"
    ],
    "named": {
      "user": "bob",
      "domain": "test.org"
    }
  },
  {
    "match": "carol@demo.io",
    "index": 33,
    "groups": [
      "carol",
      "demo.io"
    ],
    "named": {
      "user": "carol",
      "domain": "demo.io"
    }
  }
]
Quick Start

How to extract capture groups

Drop in a regex with groups, paste sample text, and get a JSON array — one object per match with all numbered and named groups.

  1. 01

    Pattern with groups

    Add () for unnamed groups or (?<name>...) for named ones. Both kinds extract.

    Patterns compile through the JavaScript RegExp constructor, so syntax errors surface immediately and engine quirks like Unicode property escapes (\p{L}) work when the u flag is on.

    patternECMAScriptliterallive
    input · literalregex · regex
    (?<user>\w+)@(?<domain>[\w.]+)
    loaded · ECMAScriptPCRE · ready
  2. 02

    Pick flags

    Global flag g gives every match. Use i for case-insensitive matching.

    Each flag character mirrors the ECMAScript literal: g enables iteration, i folds case, m anchors per line, s lets . match newlines, u unlocks proper Unicode, y is sticky, and d emits indices.

    flagsoptionsg · i · mlive
    config · optionsflags · flags
    g
    flags applied · liveECMA · live
  3. 03

    Read JSON

    Each match becomes an object with match, index, groups, and named.

    Watch for catastrophic backtracking on nested quantifiers — a common ReDoS source. The tool caps match counts to keep the page responsive on pathological patterns.

    matchgroupshighlightReDoS-safe
    run · outputjson · matches
    [{"match":"alice@…","named":{"user":"alice","domain":"example.com"}}]
    matches · livegroups · live
  4. 04

    Copy or export

    Grab the output as JSON, CSV, or plain text — ready for your editor or pipeline.

    Copy writes via navigator.clipboard.writeText; downloads use a Blob and object URL, so nothing transits the network and the output is byte-identical to what you see on screen.

    copyexportclipboardblob
    export · exportedready · saved
    Copied
    ready to shipsuccess
Pro tips

Regex patterns that don't melt down

Use named groups

(?<year>\d{4}) reads better than $1 and survives reordering. Supported in ECMAScript 2018+.

Anchor strictly

Use ^/$ with the m flag when matching whole lines. Without anchors, partial matches sneak through.

Avoid catastrophic backtracking

Nested quantifiers like (a+)+ can explode. Run patterns through ReDoS Detector first.

Escape every literal

Backslash any meta character you want literally: \.\$\^\*\+\?\(\)\[\]\{\}\|\\.

Test edge cases

Empty string, single character, unicode, the maximum length you expect — write fixtures for each.

Patterns aren&rsquo;t parsers

Don’t parse HTML, JSON, or balanced parens with regex. Use a proper parser when the grammar is recursive.

Use Cases

When to extract groups

Turn unstructured text into structured JSON.

Parse semi-structured logs

Pull dates, levels and messages with named groups. Compiles through the JavaScript RegExp constructor — engine quirks (Unicode property escapes, sticky matching, named groups) work when their flags are on. Error messages cite the exact position of any syntax issue.

ReDoS-safe

Scrape lists

Turn a paste of `name <email>` into a JSON array. Pairs with the ReDoS detector to catch catastrophic backtracking before you deploy. A pattern that handles 1k-character input fine can become a denial-of-service vector on attacker-controlled 1M-character input.

ECMA-compliant

Build a data pipeline

Use the JSON output as upstream input. Output exports as JavaScript, Python re, Java util.regex, .NET System.Text.RegularExpressions, PCRE, and POSIX — language quirks are highlighted on conversion so you don't ship a JS-only pattern to a Go service.

spec-grade

Verify a pattern

Eyeball the extracted groups before shipping a regex. Capture groups (named or numbered) round-trip cleanly into replacement strings, JSON output, or CSV extraction without re-typing. Backreferences ($1, ${name}) preserve semantics across languages.

cross-engine

Author documentation

Show example matches and their groups in docs. Test against edge cases — empty input, single character, max length, multibyte boundaries — to catch off-by-one and zero-length match bugs before they reach production.

test-ready

Quickly tokenise

Faster than writing a parser for an ad-hoc format. All matching runs client-side so secret patterns never leave the browser. Useful when the pattern itself is sensitive (PII regexes, internal data formats, security filters).

production-ready
FAQ

Frequently asked questions

Both — numbered are in `groups`, named are in `named`. Use whichever fits your downstream code.
Capped at 100,000 to keep the page responsive on pathological patterns.
It pastes straight into a script, REPL, or query. The shape is also stable enough to diff.
JavaScript regex doesn't return overlapping matches. Use lookaheads to simulate when needed.
No. The tool runs entirely in your browser — your pattern and sample text never leave the page.
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