Dudumchit2 — AI Music Toolkit

Dudumchit2 — AI Music Toolkit

Real-time Spectrum & Waveform + Silence Detection + Export PNG/CSV (Offline, privacy-friendly)

Offline No Upload

Privacy: Audio stays in your browser. No upload, no server processing.
Step 1: Choose an audio file (MP3/WAV/OGG/M4A/WEBM/FLAC).
Step 2: Click Analyze Track to initialize the audio graph.
Step 3: Use Play/Pause for live spectrum + waveform. Save images anytime.
Step 4: Run Silence Detection to find quiet segments and export them as CSV.

No file selected

Supported: MP3 / WAV / OGG / M4A / WEBM / FLAC

FFT Resolution 1024 (Light) 2048 4096 (Default) 8192 (High precision)

Smoothing (0~0.99)

Monitor Volume

Rendering ON (Default) OFF (Save CPU)

Theme Light Dark System

Choose a file, then click Analyze Track.

Spectrum (Frequency)

Waveform (Time)

Silence Detection Lower dBFS = stricter silence. Tune window and minimum duration for your use case.

Threshold (dBFS)

Window (ms)

Min Silence (ms)

Length (read-only)

 

No analysis yet.

© 2026 Happycode7. All rights reserved.
This toolkit is provided for education and research. Audio files and derived outputs remain the property of their respective creators.