Audio Processor Pro v5.8

Professional audio processing tool with enhanced GUI interface for sermon, podcast, and broadcast audio.

Features

• Peak Control & Hard Limiting: Advanced peak detection before normalization
• Intelligent Volume Boost: LUFS-based volume optimization
• Enhanced Silence Processing: Audacity-style truncate silence with sentence break detection
• Multi-threaded Processing: Fast parallel processing for large files
• Parametric EQ: 6-band equalizer with filters
• Noise Reduction: AI-powered noise removal
• Dynamic Compression: Professional compression with parallel processing

Processing Pipeline

The audio processing follows this exact order:

1. Channel Processing & Conversion

   • Stereo channel analysis
   • Mono to stereo conversion
   • Channel merging (if needed)

2. Peak Detection & Analysis

   • Analyze peak levels
   • Calculate RMS and dynamic range
   • Identify high peaks

3. Pre-Normalization Hard Limiting

   • Apply hard limiter if peaks detected
   • Prevent clipping before normalization

4. Normalization

   • Normalize to optimal level
   • Consistent volume baseline

5. Intelligent Volume Boost (Optional)

   • LUFS-based loudness targeting
   • Adaptive gain calculation
   • Dynamic range preservation

6. Dynamic Range Compression (Optional)

   • Multi-threaded processing
   • Parallel compression support

7. Noise Reduction (Optional)

   • AI-powered spectral processing
   • Speech preservation mode

8. Silence Processing (Optional)

   • Leading silence (disabled by default)
   • Trailing silence (enabled by default)
   • Internal silence compression
   • Sentence break detection

9. Parametric EQ (Optional)

   • Multi-band equalization
   • High/low pass filters

10. Final Safety Limiter (Optional)

    • Brick-wall limiting
    • Prevents any clipping

11. Pre-Export Volume Boost (Optional)

    • Final volume adjustment
    • Safety peak check

12. Export

    • Format conversion
    • Bitrate/sample rate adjustment

Installation

Requirements

• Python 3.7 or newer
• FFmpeg installed and in PATH

Install Dependencies

pip install pydub numpy scipy noisereduce psutil

Windows

Install Python dependencies

pip install pydub numpy scipy noisereduce psutil

Download FFmpeg from https://ffmpeg.org/

Extract and add to system PATH

macOS Install dependencies

pip3 install pydub numpy scipy noisereduce psutil

Install FFmpeg using Homebrew

brew install ffmpeg

Python should include tkinter by default

Test with: python3 -m tkinter

Linux (Ubuntu/Debian)

Install tkinter (required for GUI)

sudo apt-get update
sudo apt-get install python3-tk

Install FFmpeg

sudo apt-get install ffmpeg

Install Python dependencies

pip3 install pydub numpy scipy noisereduce psutil

Linux (Fedora/CentOS)

sudo dnf install python3-tkinter ffmpeg
pip3 install pydub numpy scipy noisereduce psutil

Verify Installation

Check Python version

python --version  # or python3 --version

Check FFmpeg

ffmpeg -version

Test tkinter (for GUI)

python -m tkinter  # or python3 -m tkinter

Quick Start

GUI Interface (Recommended)

Windows

python audio_processor_gui.py

macOS/Linux

python3 audio_processor_gui.py

Command Line Interface

Basic usage

python audio_processor_pro-v5.8.py input.mp3 output.mp3

With preset

python audio_processor_pro-v5.8.py input.mp3 output.mp3 --preset sermon_ultra

Batch processing

python audio_processor_pro-v5.8.py "*.mp3" --batch --preset podcast_pro

The GUI provides an intuitive interface with:

Screenshots

GUI Main Interface

Module Configuration

Processing View

Processing Logs

Visual module configuration

Preset management Real-time processing logs Batch processing support

Command Line Interface

Basic Usage

# Process with default sermon preset
python audio_processor_pro-v5.8.py input.mp3 output.mp3

# Use specific preset
python audio_processor_pro-v5.8.py input.mp3 output.mp3 --preset podcast_pro

# Add gain boost
python audio_processor_pro-v5.8.py input.mp3 output.mp3 --preset sermon_ultra --gain 6.0

Silence Processing Control

# Default: Trailing silence only (safe)
python audio_processor_pro-v5.8.py input.mp3 output.mp3

# Disable leading silence trimming (recommended for recordings)
python audio_processor_pro-v5.8.py input.mp3 output.mp3 --no-trim-leading

# Disable trailing silence trimming
python audio_processor_pro-v5.8.py input.mp3 output.mp3 --no-trim-trailing

Disable all silence processing

python audio_processor_pro-v5.8.py input.mp3 output.mp3 --no-silence-processing Batch Processing

# Process all MP3 files in current directory
python audio_processor_pro-v5.8.py "*.mp3" --batch --preset broadcast_pro --overwrite

# Process specific folder
python audio_processor_pro-v5.8.py "/path/to/audio/files/*.mp3" --batch

Advanced Options

# Custom output format and quality
python audio_processor_pro-v5.8.py input.wav output.mp3 \
  --format mp3 \
  --bitrate 320k \
  --sample-rate 48000

# Fast processing mode
python audio_processor_pro-v5.8.py input.mp3 output.mp3 \
  --speed-preset fast \
  --threads 8

# Disable specific modules
python audio_processor_pro-v5.8.py input.mp3 output.mp3 \
  --no-compression \
  --no-noise-reduction \
  --disable-eq

Channel analysis only

python audio_processor_pro-v5.8.py input.mp3 --channel-analysis Using Custom Configuration

# Save current settings
python audio_processor_pro-v5.8.py input.mp3 output.mp3 \
  --preset sermon_ultra \
  --save-config my_config.json

# Load saved settings
python audio_processor_pro-v5.8.py input.mp3 output.mp3 \
  --load-config my_config.json

Available Presets sermon_ultra Premium sermon processing with enhanced silence truncation

Aggressive silence removal while preserving speech flow Voice enhancement EQ Strong compression for consistent levels Default: Trailing silence only

broadcast_pro Professional broadcast quality

Moderate processing for natural sound Broadcast-standard loudness levels Balanced EQ

podcast_pro High-quality podcast processing

Voice clarity optimization Consistent loudness Natural dynamics preservation

music_mastering Professional music mastering

Minimal silence processing Transparent dynamics control Wide stereo image

Module Configuration Each module can be configured independently through the GUI or command line: Silence Processing

Leading Silence: Start of audio (disabled by default - may cut important content) Trailing Silence: End of audio (enabled by default) Internal Silence: Within audio (enabled by default) Sentence Break Detection: Smart preservation of natural pauses

Peak Control

Pre-normalization peak limiting Prevents digital clipping Configurable threshold and release

Volume Boost

LUFS-based loudness targeting Adaptive gain calculation Dynamic range preservation

Compression

Multi-threaded processing Parallel compression support Configurable threshold, ratio, attack, release

Noise Reduction

AI-powered spectral processing Speech preservation mode Configurable strength

Common Workflows Sermon Processing

python audio_processor_pro-v5.8.py sermon.mp3 sermon_processed.mp3 \
  --preset sermon_ultra \
  --gain 8.0 \
  --no-trim-leading

Podcast Episode

python audio_processor_pro-v5.8.py podcast.wav podcast.mp3 \
  --preset podcast_pro \
  --format mp3 \
  --bitrate 192k \
  --no-trim-leading

Batch Process Recordings

python audio_processor_pro-v5.8.py "recordings/*.wav" \
  --batch \
  --preset broadcast_pro \
  --format mp3 \
  --overwrite

Music File

python audio_processor_pro-v5.8.py song.wav song_mastered.flac \
  --preset music_mastering \
  --format flac \
  --no-silence-processing

Troubleshooting FFmpeg Not Found

Windows: Download from https://ffmpeg.org/ and add to PATH

Linux: sudo apt-get install ffmpeg

macOS: brew install ffmpeg

Low Volume Output

Increase gain: --gain 6.0 Enable volume boost in GUI Check peak control settings

Audio Quality Issues

Use higher bitrate: --bitrate 320k Use lossless format: --format flac Reduce noise reduction strength Disable fast mode

Silence Cut Too Much

Disable leading silence: --no-trim-leading Increase silence threshold in GUI (e.g., -30 dB → -40 dB) Increase minimum silence duration

License MIT License - See LICENSE file for details. Contributing Contributions are welcome! Please feel free to submit a Pull Request.