REAPER Audio Tag active
dennech vv0.4.9 added 2026-07-05 verified 2026-07-05
You need to quickly identify what sounds are in a clip inside REAPER without leaving the DAW or running a Python environment.
about
REAPER Audio Tag runs the PANNs Cnn14 AudioSet tagging model locally on a selected audio item and displays compact clip-level semantic tags inside a REAPER window. No Python installation is required — the plugin uses a self-contained ReaPack backend and a downloaded ONNX model (~327 MB) stored in REAPER's data folder.
The action supports GPU acceleration via CoreML on macOS and DirectML on Windows, falling back to CPU if neither is available. After analysis, tags can be written to item notes and a matching project region can be created automatically.
Useful when you need fast sound recognition during sound design or editorial — for example, verifying what AudioSet categories a clip falls into or rough-tagging library assets without leaving the session.
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