Boris FX SoundApp [WiN]

• Product: SoundApp
• Developer: Boris FX
• Version: 2026.0.26
• Format: VST3, AAX
• Requirements: Windows 10 or later
• Source: borisfx.com/products/soundapp

SoundApp by Boris FX is an AI-driven audio cleanup and separation application built around machine-learning-based denoising and source demixing technology. It combines voice enhancement, noise reduction, and stem separation into a drag-and-drop workflow outside traditional DAWs. Focused on fast dialogue repair and content-ready audio, it emphasizes one-click processing rather than manual editing chains. It functions as an AI audio restoration app for cleaning dialogue, removing noise, and separating audio elements in video, podcast, and content production workflows.

Key Takeaway

SoundApp is used when you need results fast without building plugin chains. Unlike traditional DAW-based audio repair workflows, it processes dialogue, noise, and stems in a single pass, making it more effective for content creators than detailed mixing environments.

AI-driven audio cleanup replacing manual plugin chains

SoundApp uses machine-learning models to remove noise, echo, and unwanted artifacts while enhancing vocal clarity in seconds. It handles common issues like wind, traffic, hum, and mic noise automatically.

Unlike traditional workflows that require stacking EQ, denoisers, de-reverbs, and compressors, this removes the need for multi-plugin chains just to clean dialogue. Processing happens through a single interface with minimal parameter control.

This is most effective when working with recorded dialogue that needs fast cleanup rather than surgical audio restoration.

Stem separation splitting full mixes into editable elements

The app can break audio or video files into separate components such as dialogue, music, sound effects, and instruments. These elements can then be adjusted, removed, or exported individually.

Unlike DAWs where stem separation typically requires third-party tools or complex routing, this replaces that process with a single step. Entire mixes can be rebalanced without accessing original project files.

This becomes useful when working with final renders, client files, or content where stems are unavailable.

Drag-and-drop workflow avoiding DAW complexity

SoundApp operates as a standalone application with a simplified interface—drop in a file, choose a model, adjust intensity, and export.

Unlike traditional audio software that requires routing, automation, and plugin management, this avoids the need to learn full DAW workflows. It’s designed for speed rather than deep control.

This is better suited for content creators or editors who prioritize turnaround time over detailed mixing decisions.

Real-time preview enabling faster decision-making

Processing can be previewed instantly without rendering the entire file, allowing quick adjustments before export.

Instead of waiting for offline processing or bouncing audio repeatedly, this removes the need for iterative render cycles. Changes can be evaluated immediately within the app.

This is particularly useful when working on multiple clips or batches of dialogue that need consistent treatment.

Integrated leveling and voice enhancement reducing mix steps

The app automatically adjusts levels while improving vocal presence, balancing quiet and loud sections without manual gain staging.

Unlike traditional mixing where compression and automation are required to achieve consistent levels, this replaces those steps with automated processing. It simplifies dialogue preparation for publishing.

This is most effective for podcasts, interviews, and online content where consistent vocal clarity matters more than detailed dynamics shaping.

Audio cleanup workflow built for speed instead of detailed control

SoundApp is optimized for fast turnaround and accessibility rather than precision editing. It performs best when audio needs to be cleaned, separated, and delivered quickly.

Unlike professional restoration tools that allow deep spectral editing and parameter-level control, this trades flexibility for speed. It’s less suited for forensic audio repair or advanced mixing tasks where detailed adjustments are required.

For content-driven workflows, it replaces complex post-production chains with a simplified, AI-based approach.

FAQs