AudioMaster.ai

Categories: Voice & Audio, Music | Pricing: Free | Official Website ↗

AudioMaster.ai uses neural networks to automatically master audio tracks, offering per-stem control and various export formats.

AudioMaster.ai provides AI-powered audio mastering services, utilizing neural networks to analyze and apply professional mastering techniques to audio files. The platform allows users to fine-tune individual stems like vocals, drums, and bass for balanced mixes. It supports various input types, including unmastered and already mastered audio, and is compatible with music, podcasts, and general media. The service aims to enhance audio quality, bringing out depth and detail, and prepares tracks for distribution across different playback systems. Users can upload audio files or paste URLs, customize mastering intensity and stems, and then download their professionally mastered tracks in formats such as FLAC, WAV, MP3, OGG, OPUS, or M4A.

Key Features

AI-powered mastering
Multi-track/per-stem controls
Multiple export formats (FLAC, WAV, MP3, OGG, OPUS, M4A)
Supports unmastered and mastered audio
Enhances audio quality
Prepares audio for distribution

Pros

Masters audio using neural networks automatically
Allows independent control over individual stems (vocals, drums, bass)
Supports a wide range of export formats
Compatible with various audio types (music, podcasts, general media)
Processes tracks quickly, typically under a minute
Currently 100% free for non-commercial use

Cons

Limited to non-commercial use
Requires Google sign-in for full-length renders
Specific limitations of 'while usage allows' are not detailed
No explicit mention of advanced manual controls beyond intensity and stems
No information on customer support channels

Use Cases

Mastering music tracks for release
Enhancing podcast audio quality
Optimizing general media sound for distribution
Quickly polishing audio without studio equipment

Best For

Independent musicians
Podcasters
Content creators
Audio enthusiasts

Platforms: Web

Watch demo on YouTube ↗

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