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Stringscapes by Benjamin Wallfisch

Paid
Plug-in format
AAX Audio Unit VST VST3
Platform
macOS Windows
Delivery
Desktop App Plugin Standalone

A sample library of experimental and evolving string textures and effects created and curated by composer Benjamin Wallfisch for contemporary scoring

Summary

Stringscapes by Benjamin Wallfisch is a collection of contemporary string textures and effects featuring both live orchestral performances and complex sound design patches. It is designed for composers seeking innovative and experimental string sounds for scoring and soundtracking.

Features

  • 79 patches across 11 distinct groups including long, evolving acoustic performances and detailed sound design textures
  • Includes extended playing techniques such as aleatoric phrases and clusters played live by a string orchestra
  • Provides a variety of atmospheres from subtle ambiences to intense, unsettling soundscapes
  • Complex reversed sounds and immersive mic positions including Dolby Atmos setup for spatial mixing
  • Recorded at Teldex Scoring Stage, Berlin, with a full string section (violins, violas, cellos, double basses)
  • Offers both raw recordings and a special mix by Benjamin Wallfisch to deliver a cinematic “Hollywood” sound
  • Runs with Orchestral Tools’ SINEplayer supporting standalone, VST, VST3, AU, and AAX formats
  • Supports mic merging to optimize CPU and memory usage

Intended Users

The toolkit is aimed at contemporary composers and sound designers working on film, TV, and media projects who require a versatile and experimental palette of string textures and atmospheres.

About Benjamin Wallfisch

Benjamin Wallfisch is an acclaimed, multi-award-winning composer with over 100 film and TV credits, known for blending orchestral and electronic elements. He has worked with major orchestras worldwide and contributed to blockbuster films such as IT, Blade Runner 2049, and The Flash.

Technical Requirements and Compatibility

  • Requires macOS 10.15 or higher, or Windows 10 with Intel Core i5 or similar, 8 GB+ RAM (16 GB recommended)
  • Sample library size is 129 GB (60 GB compressed)
  • Optimized for high-performance computers with SSD drives recommended

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