Wavebase listens to your sound libraries, writes rich, searchable metadata with AI, and embeds it straight into your files — so you find the right sound in seconds, not minutes.
For macOS · Works with your existing library
Four steps. No spreadsheets, no manual tagging marathons.
Drop in any source folder and launch a scan. Wavebase analyzes every audio file inside — no project setup, no imports, no database to maintain.
Each sound gets a description, category, and keywords generated by AI that actually listens to the audio — not just the filename.
Everything lands in a review table where you can edit, validate, and refine. You stay in control of every field before anything is written.
Write metadata directly into your WAV files and export to CSV — ready for Soundly, Basehead, or any tool your pipeline already uses.
The details that matter when you do this for a living.
Validating a big library takes time. Save your progress and reopen exactly where you left off — every tab, edit and review state intact.
Load a Markdown file with your naming conventions — abbreviations, project codes, custom vocabulary — and Wavebase reads your library the way your team named it.
Fanfares, stingers and music cues get BPM and musical key detected automatically — no extra step, right alongside the rest of the metadata.
Get Wavebase and turn every library you own into reusable audio knowledge.
Try it now