Build a custom scripting language for your application with its own syntax and rules.
Parse and validate proprietary data formats or configuration files in your system.
Create a compiler or interpreter for a domain-specific language used in your industry.
Analyze code or structured text by walking the parse tree to extract meaning and react to specific patterns.
ANTLR (ANother Tool for Language Recognition) is a tool that helps developers create their own programming languages, configuration file formats, or any other structured text that a computer needs to read and understand. The core idea is this: you write a "grammar", a set of rules describing what valid input looks like, and ANTLR automatically generates the code that can read and interpret that input. This generated code is called a parser. Think of it like teaching a computer to read a new language from a rulebook. Once the parser exists, it builds a tree-like structure (a "parse tree") representing the meaning of what was read, and ANTLR also generates helper interfaces that let you walk through that tree and react to specific parts. You would use ANTLR when building a custom scripting language for your app, reading a proprietary data format, writing a compiler or interpreter, or processing complex configuration files. It powers real-world tools like query languages, code analysis tools, and domain-specific languages used in enterprise systems. ANTLR 4 supports 10 target languages, meaning the parser it generates can be written in Java, Python 3, C#, Go, JavaScript, TypeScript, C++, Swift, Dart, or PHP. The tool itself is written in Java and requires Java 11 or higher to run.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.