Wwise BNK extractor

This tool parses Wwise BNK files to reveal contained assets, events, and references. It is non-destructive and read-only, enabling analytics without requiring a Wwise project. Target users include developers, audio designers, QA engineers, and localization teams who need reliable asset inventories and accurate event mappings for validation and documentation. The tool assumes BNK files follow standard Wwise formatting and does not attempt decryption or modification.\n\nConceptually, BNK parsing decodes the file header, bank tables, indices, and ID mappings to produce a structured view of a bank’s contents. It surfaces assets such as voices, events, switches, and metadata references. Exports support JSON and CSV formats to integrate with asset catalogs, version control systems, and pipelines used by sound teams.\n\nThe value proposition centers on batch processing, optional manifest-based mapping, and preserving BNK integrity while exposing a complete footprint of assets, voices, events, and relationships. Use cases include post-build audits, soundbank verification, asset inventory for localization, and debugging audio-event bindings across multiple platforms.\n\nCore features include BNK parsing, asset listing, type identification, and multi-format exports. Optional capabilities cover manifest-assisted mapping and large-project batching; outputs are structured for downstream tooling and documentation, helping teams reduce manual extraction time, improve data consistency, and accelerate audits, QA checks, and sound-design workflows.\n\nConceptually, the tool operates without network calls and relies on offline BNK analysis. It produces a stable, repeatable dataset suitable for versioned pipelines, with deterministic results given the same BNK input.