The SWAM All In Bundle from Audio Modeling includes all SWAM's incredibly realistic and expressive virtual instruments, SWAM Trumpets, SWAM Trombones, SWAM Horns & Tubas
Audio Modelling

SWAM ALL IN BUNDLE - SOLO INSTRUMENTS

Regular price R 17,730.00 Sale price R 26,460.00 Unit price per

The SWAM All In Bundle from Audio Modeling includes all SWAM's incredibly realistic and expressive virtual instruments, SWAM Trumpets, SWAM Trombones, SWAM Horns & Tubas in a convenient discounted package.

The best solo instruments on the market in one convenient bundle. All SWAM Solo Woodwinds, all SWAM Solo Strings and all SWAM Solo Brass!

"(Audio Modeling) are perfectionists and to my ears, what they have accomplished is nothing short of amazing." —Roger Linn

Included Products:

The Solo Woodwinds family powered by SWAM-W Engine:

SWAM CLARINETS

Clarinet, Bass Clarinet

SWAM SAXOPHONES

Soprano, Alto, Tenor, Baritone

SWAM FLUTES

Flute, Alto flute, Bass flute, Piccolo

SWAM DOUBLE REEDS

Oboe, English Horn, Bassoon, Contrabassoon

The Solo Strings family powered by SWAM-S Engine includes:

SWAM SOLO VIOLIN

SWAM SOLO VIOLA

SWAM SOLO CELLO

SWAM SOLO DOUBLE BASS

The Solo Brass family powered by SWAM-B Engine includes:

SWAM TRUMPETS

Flugelhorn, Flugelhorn (Eb), Trumpet (Bb), Trumpet (C), Piccolo Trumpet

SWAM TROMBONES

Double Bass Trombone, Bass Trombone, Tenor Bass Trombone, Tenor Trombone and Alto Trombone

SWAM HORNS & TUBAS

Bass Tuba, Tuba (Eb), Euphonium, French Horn (F), French Horn (Bb)

System Requirements

FORMATS - AU, VST, VST3, AAX 64bit

Mac OSX - 10.10 (Yosemite) – 12.4 (Monterey)

WINDOWS - Windows 10, Windows 11

Install Size

Required space after installation: 276 MB for two plugins

RAM occupancy: about 80 MB for each instrument instance

CPU Load

The realism and expressiveness of the SWAM instrument requires a computer with at least a 1.6 GHz Core 2 Duo CPU for running a single plugin instance. Less powerful systems may also prove satisfactory, but may require larger buffer sizes, involving higher latencies.

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