find all · frequency tally · unique matches

Find every regex match and count them

Sweep a regex across text and get a frequency-sorted list of distinct match values. Runs entirely in your browser.

Regex Find All
Total
15
occurrences
Unique
11
distinct
Flags
g
1 on
Sample
70 B
text
Flags
input · pattern + sample
//g
output · frequency tally
"dog"×2
"fox"×2
"the"×2
"The"×2
"at"×1
"barks"×1
"brown"×1
"jumps"×1
"lazy"×1
"over"×1
"quick"×1
Quick Start

How to count every regex match

Drop in a pattern and sample text — see each unique match and how often it occurs.

  1. 01

    Type a pattern

    Drop in any regex. The g flag is forced on so every hit is collected.

    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 · literalpattern · regex
    \b\w+\b
    loaded · ECMAScriptPCRE · ready
  2. 02

    Paste sample text

    The bigger the input the better the tally — paste a whole file if you want.

    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 · optionstext · flags
    the quick brown fox
    flags applied · liveECMA · live
  3. 03

    Read the table

    Unique matches are sorted by frequency. Tap a row to copy that value.

    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 · outputtable · matches
    the x3
    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 tally matches

From content analysis to log mining.

Word frequency

Find the most common token in any text. 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

Log analysis

Tally errors, hostnames, paths or status codes. 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

Lint cleanup

List every TODO or FIXME comment with counts. 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

Build wordclouds

Generate token data for visualizations. 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

Spot duplicates

Surface repeated IDs or emails in a dataset. 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

Audit content

Quantify mentions of a brand, name, or topic. 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

Tallying requires a global sweep — without g, only the first match appears.
Yes — equal counts are sorted alphabetically so the report is reproducible.
By default yes. Toggle the i flag to merge mixed-case variants under one row.
Matches are capped at 100,000 so the browser stays responsive.
No. The tool runs entirely in your browser — your pattern and sample text never leave the page.
Suggest a tool

Something missing?

Tell us what you need. We ship the top requests every two weeks.

Sent straight to the maintainers · no account needed
47 in queue·8 shipped this month
Request queued. Thanks!