Blab Music
SoundBoost Introduces Conversational AI Mastering and Stem-Separation Tools for Independent Musicians
SoundBoost has rolled out a new AI mastering engine that swaps out the usual dials for natural‑language prompts. Instead of tweaking knobs, users can type or speak directives such as “more analog warmth without crushing the dynamics” or “decrease drums by 2 dB, set a wider stereo field but keep the lows in mono,” and the system interprets those instructions into a polished master.
Unlike most AI mastering services that rely on preset chains, SoundBoost’s engine allows artists to hold a back‑and‑forth conversation with the AI. Each new prompt refines the previous result, giving creators a hands‑on feel as they shape the track to match their intent. The platform also offers reference‑based mastering and a roster of “engineer personas” that emulate distinct stylistic approaches. The latest update extends this dialogic workflow to mixing, so commands like “remove vocals” or “make the song louder without distorting” can be applied to both mixing and mastering in a single conversational session.
SoundBoost is available on the web, iOS, and Android, making it accessible to musicians who work outside traditional studios. In addition to mastering, the service ships a stand‑alone stem‑separation tool. The free vocal remover isolates vocals, drums, bass, guitar, piano, and extra drum elements. Users can then tweak pitch and tempo independently, detect chords, practice instruments, create adaptive metronome tracks, and export high‑quality stems for remixing.
The company reports a user base of more than 140,000 musicians worldwide. CEO Berkan Cesur has explained that SoundBoost’s design philosophy centers on giving artists control rather than presenting a “slot machine” experience. According to Cesur, most AI mastering services let users upload a track and then pull a lever, with the result either accepted or rejected. SoundBoost, by contrast, frames AI as an assistive layer that helps artists shape a signature sound.
Transparency and creator trust are highlighted in SoundBoost’s AI strategy. The company states that all training data is legally sourced, user uploads are never used for model training, and files are deleted from its servers when users remove their projects.
Industry observers note that SoundBoost’s conversational approach marks a distinct niche within the broader AI mastering landscape. By allowing artists to articulate sonic goals in plain language and refine them through dialogue, the platform offers a more collaborative experience than preset‑based tools. The addition of a free stem‑separation feature and the ability to export stems further supports independent production workflows.
The platform’s growth to 140,000 users underscores the demand for accessible, AI‑powered audio tools that prioritize user agency. While the service’s pricing model is not detailed in the source, the emphasis on free features—such as the vocal remover and stem splitter—suggests a strategy aimed at lowering entry barriers for emerging creators.
SoundBoost’s emphasis on natural‑language interaction and iterative refinement may influence how other AI audio platforms develop future features. By positioning AI as a conversational partner rather than a black‑box processor, the company offers a new paradigm for mastering and mixing that aligns with the creative intentions of independent musicians.
The platform remains available on its website and mobile apps, and users can continue to experiment with its conversational mastering and stem‑separation tools as the service evolves.
Unlike most AI mastering services that rely on preset chains, SoundBoost’s engine allows artists to hold a back‑and‑forth conversation with the AI. Each new prompt refines the previous result, giving creators a hands‑on feel as they shape the track to match their intent. The platform also offers reference‑based mastering and a roster of “engineer personas” that emulate distinct stylistic approaches. The latest update extends this dialogic workflow to mixing, so commands like “remove vocals” or “make the song louder without distorting” can be applied to both mixing and mastering in a single conversational session.
SoundBoost is available on the web, iOS, and Android, making it accessible to musicians who work outside traditional studios. In addition to mastering, the service ships a stand‑alone stem‑separation tool. The free vocal remover isolates vocals, drums, bass, guitar, piano, and extra drum elements. Users can then tweak pitch and tempo independently, detect chords, practice instruments, create adaptive metronome tracks, and export high‑quality stems for remixing.
The company reports a user base of more than 140,000 musicians worldwide. CEO Berkan Cesur has explained that SoundBoost’s design philosophy centers on giving artists control rather than presenting a “slot machine” experience. According to Cesur, most AI mastering services let users upload a track and then pull a lever, with the result either accepted or rejected. SoundBoost, by contrast, frames AI as an assistive layer that helps artists shape a signature sound.
Transparency and creator trust are highlighted in SoundBoost’s AI strategy. The company states that all training data is legally sourced, user uploads are never used for model training, and files are deleted from its servers when users remove their projects.
Industry observers note that SoundBoost’s conversational approach marks a distinct niche within the broader AI mastering landscape. By allowing artists to articulate sonic goals in plain language and refine them through dialogue, the platform offers a more collaborative experience than preset‑based tools. The addition of a free stem‑separation feature and the ability to export stems further supports independent production workflows.
The platform’s growth to 140,000 users underscores the demand for accessible, AI‑powered audio tools that prioritize user agency. While the service’s pricing model is not detailed in the source, the emphasis on free features—such as the vocal remover and stem splitter—suggests a strategy aimed at lowering entry barriers for emerging creators.
SoundBoost’s emphasis on natural‑language interaction and iterative refinement may influence how other AI audio platforms develop future features. By positioning AI as a conversational partner rather than a black‑box processor, the company offers a new paradigm for mastering and mixing that aligns with the creative intentions of independent musicians.
The platform remains available on its website and mobile apps, and users can continue to experiment with its conversational mastering and stem‑separation tools as the service evolves.
