Rarely discounted and currently at its lowest tracked price - a genuinely good time to buy.
About
Product Overview
Fire Strings represents a substantive departure from conventional string sampling, functioning as a hybrid sequencer and sound design environment rather than a straightforward playback library. Built on Native Instruments Kontakt, the instrument combines 6GB of custom-recorded electric violin and guitar material with a rhythmic engine of uncommon depth. The recordings themselves, captured through vintage signal chains including Neve and API gear, provide a foundation of tonal character that distinguishes Fire Strings from sterile sample libraries.
The core innovation lies in its dual sequencer architecture, which permits independent control of speed, direction, offset, and fade parameters across two simultaneous sound sources. This allows for sophisticated rhythmic interplay between tonal contrasts - pairing sustained textures with percussive articulations, for instance - with granular control that extends to randomization and preset management within each sequencer. The supplementary effects complement this design thoughtfully: 11 per-sound processors plus 8 global insert and send channels create legitimate sound design depth without overwhelming the workflow.
Content divides into three categories: tonal sustains ranging from conventional vibrato to extended techniques like microtonal bends and harmonic scrubs; risers built from glissando material; and grooves that anchor rhythmic movement. This organization serves cinematic and electronic music applications most directly, though the sequencer's flexibility accommodates experimental scoring approaches effectively.
Fire Strings occupies a specific niche - it functions best for composers seeking programmable textural evolution rather than traditional orchestral simulation. The sonic character skews toward contemporary scoring, particularly in darker or speculative contexts. Among comparable tools, it prioritizes sequencer sophistication and design flexibility over sample breadth.