Text Processingflags: g

JSON Boolean / Null Literal

Match JSON `true`, `false`, and `null` literal values, with word boundaries to avoid partial matches.

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Available in

JSSupported

JavaScript / ECMAScript

Browser-native RegExp. Default if you don't pick.

PYSupported

Python (re)

CPython stdlib `re`. Unicode-aware `\w` and `\d` by default.

GOSupported

Go (RE2)

Linear-time matching. No backreferences or lookarounds.

Pattern

regexengine-agnostic
\b(true|false|null)\b   (flags: g)

Raw source: \b(true|false|null)\b

How it works

\b is a word boundary on both sides so we don't match inside `nullable` or `falsey`. (true|false|null) captures one of the three JSON literals. Useful for quick log scraping or schema-detection passes when full JSON parsing is overkill.

Examples

Input

{"active": true, "deleted": false, "deleted_at": null}

Matches

  • true
  • false
  • null

Input

active=true; expired=false

Matches

  • true
  • false

Input

no literals

No match

—

Common use cases

  • •Quick filtering of JSON-shaped log lines
  • •Lightweight type-detection in observability pipelines
  • •Documentation generation from JSON schemas
  • •Test case extraction from inline JSON examples

Related patterns

JSON Key-Value Pair (Simple)

Text Processing

Extract simple `"key": value` pairs from JSON-ish text (strings, numbers, booleans, null).

JSON Number (Strict)

Text Processing

Match JSON-spec numbers — disallows leading zeros (no `01`), allows decimals and exponents.

JavaScript Template Literal Placeholder

Text Processing

Match `${expression}` placeholders inside JavaScript template literals.

Hashtag

Text Processing

Match hashtags (# followed by word characters) in social media posts, including accented Latin characters.

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