What is eMastered?
eMastered delivers audio mastering through an AI engine trained by Grammy-winning engineers. It analyzes each track’s sonic profile and applies EQ, compression, saturation, and stereo processing to meet commercial release standards. The platform also includes stem separation, global music distribution, a link-in-bio tool, and an AI synthesizer VST — all accessible from a single dashboard. Tracks can be uploaded as MP3, AIFF, or WAV files up to 900 MB.
Features & Benefits
eMastered’s audio mastering engine builds a custom processing chain for each song. It applies the same core processes used in professional studios — EQ, compression, and saturation — tuned to the specific characteristics of each upload. The reference mastering feature extends this: upload any commercial track alongside your own, and the engine replicates its loudness, tonal balance, and dynamic range. Advanced controls let producers adjust compressor intensity, stereo width, and output volume manually when the automatic result needs refinement. Presets save any combination of these settings for reuse across sessions.
- AI Audio Mastering — analyze and master uploaded tracks using machine learning, with EQ, compression, saturation, stereo width, and volume processing applied per-song
- Reference Mastering — upload a reference track to match its loudness, tonal balance, and compression characteristics to your own master
- Mastering Presets — save and recall custom combinations of mastering parameters and reference tracks across sessions
- Advanced Mastering Controls — manually adjust compressor intensity, EQ, stereo width, and output volume for fine-tuned results
- Free Preview — compare the processed master against the original before downloading
- Stemify: Stem Separation — extract vocals, drums, bass, and individual instruments from any track for remixing or instrumental creation
- Unlimited Music Distribution — deliver singles, EPs, and albums to Spotify, Apple Music, YouTube, TikTok, and other major platforms with royalty collection and artist splits
- Royalty Payouts — collect 100% of royalties and manage earnings from a single dashboard
- Linkify: Link-in-Bio Pages — build artist landing pages that connect to releases, social profiles, and streaming links, with QR code support
- ATOM AI Synthesizer VST — download and use an AI-powered synthesizer plugin inside any DAW
- Multi-Tab Mastering — run concurrent mastering sessions by opening multiple browser instances simultaneously
- 14-Day Refund Policy — request a refund within 14 days of purchase if fewer than four tracks have been downloaded
Real-World Applications
eMastered’s audio mastering engine suits producers working across multiple genres. Hip-hop beatmakers can submit a finished instrumental and receive a loudness-compliant master ready for streaming platforms within minutes. EDM producers targeting a specific sonic reference — a commercial club track, for instance — can upload that file and have the engine replicate its compression and tonal balance automatically.
Independent artists releasing without label infrastructure can combine audio mastering with the platform’s distribution tools to move a track from rough mix to live Spotify release in a single workflow. The stem separation tool adds a parallel use case: a DJ can isolate the vocal from a licensed track to build an a cappella version, or a producer can strip the drums from a sample to reconstruct a beat.
Songwriters releasing regularly benefit from the preset system. A producer who has dialed in a mastering chain for lo-fi recordings can save those settings and apply them consistently across an entire EP. That consistency matters on streaming platforms, where volume normalization and tonal balance affect how listeners perceive a body of work.
The link-in-bio and pre-save tools extend eMastered into release promotion. An artist dropping a single can build a Linkify page that aggregates streaming links, social profiles, and a pre-save button — then distribute that page via QR code at live shows or in physical packaging.
