Any program that reads formatted input relies on parsing software to check the input for validity and transform it into a representation suitable for further processing. Many security vulnerabilities can be attributed to poorly defined grammars, incorrect parsing, and sloppy input validation. In contrast to programming languages, grammars for even common data formats such as ELF and PDF are typically context-sensitive and heterogenous. However, as in programming languages, a standard notation or language to express these data format grammars can address poor or ambiguous definitions, and the automated generation of correct-byconstruction parsers from such grammar specifications can yield correct and type-and memory-safe data parsing routines. We present our ongoing work on developing such a data format description language. Parsley is a declarative data format definition language that combines grammars and constraints in a modular way. We show how it can be used to capture data formats such as MAVLink, PDF and ELF. We briefly describe the processing pipeline we are designing to generate verified parsers from these specifications. 300 2020 Symposium on Security and Privacy Workshops (SPW)