A refined Windows NetEase CloudMusic player with precision audio control, live word-by-word lyrics, visualization, export tools, AI assistance, and deep desktop integration.
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Updated
Oct 7, 2026 - Python
A refined Windows NetEase CloudMusic player with precision audio control, live word-by-word lyrics, visualization, export tools, AI assistance, and deep desktop integration.
Six-script REAPER pipeline that turns raw Suno AI ZIP exports into organized, mix-ready projects: import, label, tempo-map, split, loudness-normalize, align.
Preset normalization and comparison for audio processors
Turn a folder of mixed home videos into one polished MP4 with FFmpeg. Rust library and CLI: frame-exact single-pass rendering, blurred-fill resizing, transitions, animated title intros and two-pass EBU R128 loudness normalisation.
Segment-based loudness normalization for videos and recordings on Android and Windows|安卓与 Windows 视频、录音分段响度均衡工具
Automatic mixing and mastering for finished stems. A deterministic, open-source Python engine that loudness-balances stems into a stereo mix and masters it to an exact LUFS target with a true-peak limiter (ITU-R BS.1770-4). Same stems in, same master out — no AI, no subscription.
Audio focused YouTube downloader and processing library for Go
A real-time R128-based loudness normalizer for foobar2000. Supports Japanese and English UI.
Windows desktop application to analyze and normalize audio/video loudness to YouTube's -14 LUFS target. Measures integrated LUFS, True Peak, and LRA using FFmpeg (EBU R128) and automatically normalizes media with a two-pass workflow.
Gapless, loudness-normalized Web Audio playback engine for building music players. No runtime dependencies, optional React and Vue bindings.
Desktop GUI application for converting lossless and high-resolution audio to ALAC (.m4a), with metadata and artwork editor, lookup, and loudness normalization. (Supported Languages: 日本語, English, 简体中文, 繁體中文, 한국어, 朝鮮語(國漢文))
C++ Procedural Audio Mixing Engine (DSP) - Deterministic multi-layer audio mixing system implementing frequency-aware gain compensation, role-based layer weighting, LUFS loudness normalization, adaptive gain staging, transparent limiter, and real-time/offline rendering for procedural/generative audio systems.
Generic Broadcast Automation System
A customizable local music player with reactive audio visualization, spectrograms, playlists, and loudness normalization.
Batch audio loudness normalization tool. LUFS targeting, True Peak ceiling enforcement, LRA measurement, BWF/iXML metadata, watch folder mode. Python/PySide6, Windows exe via PyInstaller.
Automate your LoFi track processing: smart silence trimming, crossfaded mixing, and acoustic repeat detection powered by FFmpeg.
Private browser audio tag editor, loudness normalizer, and album exporter.
Windows tool for honest audio analysis, gentle FFmpeg processing, batch export and result validation.
Windows-first PySide6 MP3Gain GUI/CLI port with a vendored legacy C DLL backend for fast parallel ReplayGain analysis and gain application.
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