Sononym offers an advanced solution for musicians and sound designers who rely on samples in their creative process. By applying machine learning and audio feature extraction, this software transforms how personal sample collections are browsed and explored. It supports a wide range of audio files, enabling users to organize and search through their recordings, soundware libraries, and other sources seamlessly across Windows, Linux, and macOS platforms.

A standout feature of Sononym is its Similarity Search, which allows users to input any sound and discover related samples within their collection. This innovative approach even supports live recording, so sounds played through instruments or microphones can be instantly matched to relevant samples. Alongside this, Sononym includes duplicate detection to identify identical or near-identical files, as well as self-organizing categories that automatically group sounds by type, such as loops, one-shots, kicks, and snares, enhancing workflow efficiency.

The user interface is designed for simplicity and speed, featuring searchable and sortable views that make navigation effortless. Additional tools like bookmarking, export options, and random preview functionality help maintain creative momentum by reducing repetitive listening and streamlining sample selection. Sononym is available for a fixed price with a fully functional 30-day trial, offering a powerful and intuitive platform for managing and discovering samples in any production environment.