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AudioMaster.ai
What it is
AudioMaster.ai is a web service that uses neural networks to automatically master uploaded audio. Users upload a file or paste a URL, adjust mastering settings, and download the result. Stem controls allow separate changes to vocals, drums, bass, and other instruments. Supported inputs include WAV, FLAC, MP3, M4A, OGG, OPUS, AAC, AIF, WMA, and WebM. Exports include FLAC, WAV, MP3, OGG, OPUS, and M4A at up to 320 kbps. The service is intended for music, podcasts, and general media, including tracks that are already mastered, and the site says version 7 masters a track in under a minute. AudioMaster.ai enhances audio rather than generating, remixing, or imitating music. It does not repair recording noise, distortion, or other technical problems. The Free plan costs nothing for non-commercial use. Uploads are temporarily stored for rendering and are not used for model training.
For and against
For
- Supports many audio input formats
- Independent vocal, drum, and bass controls
- Exports FLAC, WAV, MP3, and more
- Version 7 masters tracks in under a minute
- Uploads are not used for training
Against
- Free plan is non-commercial only
- Does not repair noise or distortion
- Uploads are temporarily stored during rendering
- Web platform only
The verdict
AudioMaster.ai offers automated mastering with stem adjustments and broad format support in a web workflow. It is suited to enhancement, not repairing damaged recordings or generating new music.
Who it suits
It suits creators working with music, podcasts, or other media who want automated mastering and independent stem controls. The free plan is specifically for non-commercial use.
Plans and prices
Free
For non-commercial use
Read 7 Oct 2026 · audiomaster.ai
On the record
- Account authentication
- The privacy policy says account authentication relies on Google OAuth and users are identified through anonymized Google hashes.audiomaster.ai · read 7 Oct 2026
- AI approach
- The maker says the service enhances uploaded audio and does not generate, remix, or imitate music.audiomaster.ai · read 7 Oct 2026
- Audio retention
- Uploaded audio and rendered outputs are stored temporarily for rendering and are not permanently stored, archived, or backed up.audiomaster.ai · read 7 Oct 2026
- Commercial use
- The maker reserves commercial use for independent artists, artist groups creating one artistic experience, and music ventures earning $1,000,000 a year or less.audiomaster.ai · read 7 Oct 2026
- Input formats
- The service lists WAV, FLAC, MP3, M4A, OGG, OPUS, AAC, AIF, WMA, and WebM as supported input formats.audiomaster.ai · read 7 Oct 2026
- Mastering limitation
- AudioMaster.ai says it enhances audio but does not repair recording noise, distortion, or other technical problems.audiomaster.ai · read 7 Oct 2026
- Output formats
- Exports include FLAC, WAV, MP3, OGG, OPUS, and M4A at up to 320 kbps.audiomaster.ai · read 7 Oct 2026
- Processing speed
- The site says its version 7 model masters a track in under a minute.audiomaster.ai · read 7 Oct 2026
- Security and logs
- The privacy policy says industry-standard security protocols are used and that system logs may contain IP addresses, uploaded filenames, timestamps, and access patterns.audiomaster.ai · read 7 Oct 2026
- Stem controls
- Users can adjust vocals, drums, bass, and other instruments independently.audiomaster.ai · read 7 Oct 2026
- Support
- The privacy policy lists [email protected] for questions or concerns about privacy.audiomaster.ai · read 7 Oct 2026
- Training data
- The maker says uploads are never used for model training and its training data comes from music created for AI training and independent music made available for such use.audiomaster.ai · read 7 Oct 2026
- Use cases
- The service says it supports music, podcasts, and general media, including both unmastered and mastered audio.audiomaster.ai · read 7 Oct 2026
- What it does
- AudioMaster.ai uses neural networks to enhance uploaded audio through automatic mastering.audiomaster.ai · read 7 Oct 2026
- Workflow
- Users upload an audio file or paste a URL, customize mastering settings, then download the mastered track.audiomaster.ai · read 7 Oct 2026
