What is SoundBoost.ai?
SoundBoost.ai delivers online AI mastering with prompt-based controls and multiple AI engineer profiles for genre-aware processing. The service accepts WAV, MP3, FLAC, AAC, ALAC and OGG files (up to 1.5 GB) and returns a mastered file in under a minute.
Built-in tools include a stem splitter, LUFS meter, loudness-penalty and device simulation, loudness range analyzer, and metadata editor for release-ready delivery. Mastering options include true-peak limiting, analog-modeled saturation and width controls, plus A/B comparison and intensity adjustments for iterative refinement.
Exports support MP3, WAV, FLAC, OGG and AAC at 16/24/32-bit and 44.1/48 kHz, with streaming optimization presets for Spotify, Apple Music and other platforms. The workflow targets musicians, producers and engineers who need fast, customizable online mastering while keeping uploads out of model training.
SoundBoost.ai pricing Freemium
Verify on the official pricing page.
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SoundBoost.ai's key features
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Text-prompt controllable AI mastering (Prompt-to-Mastering)
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Six AI mastering engineer profiles with genre-aware analysis and tailored signal-chain assembly (modeled analog & digital processors, Tape Effect, True-Peak limiter)
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Stem splitter and vocal remover with visual stem creator
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Integrated loudness and translation tools: LUFS meter, Loudness Penalty, Loudness Range analyzer and device simulation (client-side, ITU-R BS.1770-4 accuracy)
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Supports common audio formats up to 1.5GB and built-in export/conversion to MP3/WAV/FLAC/OGG/AAC/M4A at 16/24/32-bit and 44.1/48k
SoundBoost.ai use cases
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Master singles for streaming platforms in under a minute using SoundBoost.ai's prompt-driven, genre-aware profiles — apply LUFS loudness normalization, true-peak limiting and analog-modeled saturation to meet Spotify/Apple Music targets while automatically editing metadata for immediate distribution
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Polish stems and remixes by uploading multitrack files or using the stem splitter to isolate vocals/instruments, apply targeted saturation and loudness adjustments per stem, then use A/B comparison and fast prompt tweaks to finalize a balanced master ready for release
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Prepare podcasts, video soundtracks and episode batches with consistent broadcast loudness using LUFS normalization and true-peak limiting, fast online mastering and metadata tagging to streamline publishing schedules without leaving the browser
Who is it for?
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Music musicians
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Audio producers
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Audio engineers
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Independent artists
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Content creators
