From Standalone Utility to Fully Integrated DAW Plugin
Boris FX CrumplePop’s latest 2026.5 update marks a significant shift in AI audio cleanup by adding ARA plugin support to its SoundApp tool. Previously, SoundApp functioned only as a standalone application, forcing users to shuttle audio clips in and out of their primary digital audio workstation. With the new plugin version, audio professionals, content creators, and podcasters can now run SoundApp directly inside leading ARA-compatible DAWs, including Pro Tools, Boris FX Samplitude, and Boris FX Sequoia. This evolution turns SoundApp from an external utility into a native component of the music production workflow. Instead of exporting files, processing them in a separate window, and re-importing results, users can keep their focus inside the DAW timeline. The move reflects a broader trend: AI-powered tools are evolving from peripheral helpers into embedded, always-available components of modern DAW integration.
What ARA Plugin Support Actually Changes
ARA (Audio Random Access) fundamentally changes how plugins interact with DAWs by allowing direct access to entire audio clips instead of just the real-time stream. Traditional plugins process audio as it plays, which limits advanced analysis and often introduces latency, especially for AI-heavy tasks such as demixing or denoising. With ARA plugin support, SoundApp can read the full clip, run its AI models, and write processed audio back into the session without the usual real-time constraints. This architecture enables instant visual feedback and faster renders because the plugin doesn’t need to record, buffer, or round-trip audio through multiple files. The result is smoother DAW integration, fewer technical workarounds, and a more tactile, clip-based workflow that suits detailed editing just as well as broad stem separation. In practice, it feels less like an insert effect and more like a built-in audio editing mode.
AI Stem Separation and Cleanup Inside the DAW Timeline
The SoundApp ARA plugin extends beyond simple noise reduction to offer a comprehensive AI audio cleanup toolkit. It includes advanced AI models for music, voice, and cinema stem separation, letting users isolate dialogue, instruments, or effects from a mixed file directly on the DAW timeline. One-click tools handle common problems such as wind, traffic, echo, pop, and general noise removal, backed by GPU-accelerated, on-the-fly processing. Because ARA grants full-clip access, SoundApp can analyse entire files for more accurate demixing and denoising than typical real-time inserts. New features like Processed Audio Cache and faster model loading further streamline the experience, allowing users to switch between different processing options without re-running heavy analysis. For producers, this turns a previously tedious offline task into a quick, in-context adjustment within their main music production workflow.
A New Standard for Music Production Workflow Efficiency
CrumplePop’s ARA-enabled SoundApp highlights a broader transformation: AI tools are moving from sidecar apps into the heart of the DAW. For many producers, audio-post specialists, and podcasters, that means no more bouncing between separate programs to clean dialogue or perform stem separation. Instead, tasks like isolating a vocal from a backing track, cleaning noisy location audio, or preparing stems for remixing can be done in-place on existing tracks. This level of DAW integration mirrors other recent plugin innovations that focus on workflow—such as intelligent stereo imaging tools and hybrid instruments designed for rapid sound design. As more developers adopt ARA, the line between editor and plugin continues to blur. AI audio cleanup is becoming a native capability rather than an extra step, enabling faster iteration, fewer distractions, and more time spent on creative decisions instead of file management.