BnkExtractor active

Fmod5Sharp

Standalone

Fmod5Sharp is a managed C# library that decodes FMOD 5 sound bank files. It reads FSB5 files, extracts contained samples with their metadata (frequency, channels, names), and exports them to standard formats like WAV and OGG. The library supports multiple encoding formats including PCM variants, GCADPCM, IMAADPCM, Vorbis, and FADPCM. It handles both throwing and non-throwing load operations, provides format validation, and reports file extensions for supported codecs. The tool is primarily used for extracting game audio from Unity and Unreal Engine titles that use FMOD middleware. It exposes sample properties like frequency and channel count, making it useful for audio asset inspection and conversion pipelines. The library can rebuild audio data into standard file formats that can be played by common media players or further processed by other audio tools.

wwiser

Wwise

wwiser is a parser for Wwise .bnk banks that reads and displays all bank chunks, including HIRC (audio scripting) data with properly identified fields. It cannot modify banks but provides comprehensive analysis of Wwise's internal structure. The tool's primary use case is generating TXTP files that allow vgmstream to simulate Wwise's audio playback, including complex features like dynamic music stems and layered audio. It handles both Wwise's sound module (simple SFX) and music module (realtime-mixed stems), attempting to recreate the engine's behavior in a static playback format. wwiser supports automatic name resolution from companion files like SoundbanksInfo.xml or custom name lists, and provides both a web-based viewer and command-line interface for exploring bank contents. It works with nearly all .bnk versions except the earliest two used in Shadowrun and Too Human.

PyWwise

Wwise

PyWwise is a Python wrapper around the Wwise Authoring API (WAAPI) that provides a Pythonic, object-oriented interface for Wwise scripting. Instead of manually constructing WAAPI JSON-RPC calls, PyWwise exposes type-safe classes and methods for common operations like object property manipulation, sound engine queries, and project automation. The library includes specialized types (GUID, Name, ProjectPath), enumerations for Wwise constraints (bit depth, sample rate), and dataclasses for structured data (Vector3, PlatformInfo). Objects retrieved from Wwise become live-connected instances with property getters and setters that automatically sync with the authoring tool. Designed for Wwise 2021+, PyWwise supports context-managed connections, WAQL queries, and comprehensive type hints for IDE autocomplete. It's suited for pipeline tools, batch processing, automated testing, and data validation workflows.