Write a single .ksy description file for a custom binary format and generate parsers for Python, Java, and Go without duplicating logic.
Use a pre-built format description from Kaitai's format library to parse common file types like images or audio without writing parser code.
Validate that a new binary format description parses correctly using the Kaitai Struct visualizer before generating code.
Share one format definition across a cross-language team so each member gets a generated parser in their own language.
Requires installing the Kaitai Struct compiler and the small runtime library for your chosen target language.
Kaitai Struct is a tool for reading and parsing binary file formats: the kind of files that store data as raw bytes rather than readable text. Things like image files, audio files, network packet data, or custom application formats all fall into this category, and working with them normally requires writing tedious, error-prone code by hand in whatever programming language you happen to be using. The core idea is that instead of writing a parser in each language you need, you describe the binary format once in a dedicated description language using a .ksy file. That file acts as a blueprint: it lists the fields in the format, their types, sizes, and relationships. From this single description, the Kaitai Struct compiler generates ready-to-use parser code in whichever programming language you choose. The supported target languages include C++, C#, Go, Java, JavaScript, Lua, Nim, Perl, PHP, Python, Ruby, and Rust. This cross-language output means a format described once can be used by teams working in completely different technology stacks, without anyone rewriting the same parsing logic. The workflow is straightforward. You write a .ksy description file, optionally use a visualizer tool to confirm the format is being parsed correctly, then compile it into source code for your language. A small runtime library is added to your project alongside the generated code, and from there you call the generated class to read binary data. The project also maintains a collection of pre-written format descriptions for common file types. The main GitHub repository is an umbrella hub that links to individual component repositories, contributors are directed to fork the specific component they want to change rather than this top-level repo. Kaitai Struct suits developers who regularly deal with binary data parsing and want a single source of truth for format definitions.
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