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Borsta
Klevgrand

Borsta

Drum Machines & Samplers
$59.99
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Lowest ever: $59.99
90 day history
$0$25$50$75$10021 Apr15 May8 Jul
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On sale 0% of the last 90 days
Lowest tracked price: $59.99
Highest tracked price: $59.99
Rarely discounted and currently at its lowest tracked price - a genuinely good time to buy.
About

Product Overview

Borsta addresses a genuine limitation in drum production - the difficulty of programming convincing brush and stick interactions with traditional sample playback. Rather than relying on static samples triggered at set velocities, Borsta employs a continuous synthesis engine that models brush behavior in real time, responding to both MIDI velocity and continuous controller data to generate naturalistic variations in timbre and articulation.

The instrument includes 18 percussion sources - ranging from conventional snare and kick drums to frame drums, tambourines, and specialty instruments like guiro and pancake drum. Each implementation supports multi-sampled one-shots alongside the synthesized brush strokes, creating a hybrid approach that captures both the organic variation of live playing and the consistency needed for programmed parts. The dual sequencer architecture separates stroke envelope behavior from timing events, allowing precise control over pressure curves, speed variations, and release characteristics that would be tedious to program with conventional MIDI automation.

Sonically, Borsta's output sits naturally in a mix thanks to thoughtful processing options - nine room simulations, six reverb algorithms, three-band EQ, and harmonic adjustment. These aren't cosmetic additions but functional tools for integrating synthetic percussion into existing drum kits.

The plugin serves producers working across jazz, Latin, funk, and contemporary genres where brush textures play a compositional role rather than serving as occasional embellishment. While the learning curve is steeper than sample-triggered percussion, the payoff justifies the investment - sequences translate predictably across instruments, and the continuous control model produces results that sample libraries simply cannot match.

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