MasVisGtk is a powerful and comprehensive audio analysis tool specifically designed for music enthusiasts, audio engineers, and anyone who wants to understand and improve their music library quality.
Built for the GNOME desktop environment, this application helps you identify audio mastering problems and provides detailed technical insights about your audio files.
This is free and open source software.
Key Features
- Detect Mastering Issues: Identify over-compressed, “brick-walled” audio files.
- Improve Library Quality: Make informed decisions about audio file quality.
- Professional Analysis: Get broadcast-standard measurements (EBU R128).
- Visual Understanding: See your audio through professional waveforms and frequency plots.
- Batch Processing: Analyse entire music collections efficiently.
- Professional Audio Analysis:
- Waveform Plotting – Visual representation of your audio signal over time, showing amplitude variations and helping identify clipping or distortion.
- Frequency Analysis – Detailed frequency spectrum plots revealing the tonal balance and frequency distribution of your audio.
- Dynamic Range (DR) Estimation – Measures the difference between the loudest and quietest parts, indicating how compressed your audio is.
- Peak Estimation – Identifies the highest signal levels to detect potential clipping and distortion.
- Crest Factor Analysis – Ratio between peak and RMS levels, indicating audio dynamics and compression level.
- Histogram Visualisation – Statistical distribution of audio levels showing how your audio energy is distributed.
- Peak vs RMS Analysis – Relationship plots between instantaneous peaks and average loudness levels.
- EBU R128 Loudness Standards – Professional broadcast loudness measurements (LUFS/LU) used by streaming services and broadcasters.
- Multi-channel Audio Support – Analyse stereo, surround sound, and other multi-channel audio formats.
- Efficient File Management:
- Folder Overview – Batch analysis with organised folder-based results for managing large music libraries.
- Recursive Processing – Automatically analyse entire directory trees including all sub folders
- Multiple View Modes – Choose between flat view (all files together) or directory-based organisation
- Parallel Processing – Efficient handling of multiple files with optimised resource usage
Website: github.com/itprojects/MasVisGtk
Support:
Developer: ITProjects
License: GNU General Public License v2.0
MasVisGtk is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Audio Analyzers | |
|---|---|
| Sonic Visualiser | View and analyse the contents of music audio files |
| Friture | Visualize and analyze live audio data in real-time |
| Spek | Acoustic spectrum analyser |
| projectM | Music visualizer originally based on Milkdrop |
| SongRec | Open source Shazam client |
| Cava | Cross-platform audio visualizer |
| sndpeek | Real-time audio visualization tool (animated, 3D) |
| MasVisGtk | Powerful and comprehensive audio analysis tool |
| Mousai | Simple application that can identify songs similar to Shazam |
| AudMeS | System for audio measurement through a sound card in the PC |
| Cavalier | Audio visualizer based on Cava |
| Open Sound Meter | Measurement application for tuning sound systems in real time |
| Le Biniou | Music visualization / VJing tool |
| Cavasik | Fork of Cavalier |
| GLava | OpenGL audio spectrum visualizer |
| Spek-rs | Acoustic spectrum analyser |
| Soundscope | Analyzing audio data |
| Partiels | Audio analysis tool |
| rtspeccy | Real time spectrum analyzer |
| FMIT | Graphical utility for tuning musical instruments |
| shaq | Bare-bones CLI client for Shazam |
| audioprism | Spectrogram tool for PulseAudio and WAV files |
| spectroterm | Curses based terminal spectrum analyzer |
| Music Radar | Simple application that can identify songs similar to Shazam |
| cli-visualizer | Command line visualizer for MPD, ALSA and PulseAudio |
Read our verdict in the software roundup.
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