JSON Parser is a Python-based project I built from the ground up as a personal challenge to better understand parsing, recursion, and the JSON standard. Inspired by the “Build your own JSON Parser” coding challenge from CodingChallenges.fyi, this project is a deep dive into how data structures are interpreted and validated at a low level.

The parser strictly adheres to the JSON specification (RFC 8259), supporting all core types including objects, arrays, strings, numbers, booleans, and null values. Alongside its parsing capabilities, it features comprehensive error handling with line and column tracking, and a configurable depth limit to prevent stack overflows on deeply nested data.

To ensure reliability, the parser is tested against both custom and official JSON test cases, including the full json.org test suite. Its design emphasizes both correctness and performance, with optimizations for large or complex JSON inputs.

This project not only strengthened my understanding of parsing logic and state machines, but also gave me valuable experience in writing test-driven code and handling edge cases systematically. It stands as a foundational tool for future work involving data serialization and validation.

To showcase the parser in action, I also built a live demo page where you can try out the parser yourself using real JSON input or sample cases. Feel free to explore it and test how it handles valid and invalid JSON structures.