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Image-In

Synthesizer Plugin by FX-Mechanics
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Image-In
Image-In by FX-Mechanics is a Virtual Instrument Audio Plugin for Windows and Linux. It functions as a VST Plugin and a VST 3 Plugin.
Product
Version
0.2
Product
Version
0.2
Instrument
Formats
Copy Protection
None
Open Source
LGPL

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Image-In is a polyphonic synthesizer that generates sound by scanning an image. It uses a form of wave terrain synthesis where the brightness of an image's pixels is interpreted as an audio waveform. The path used to scan the image is defined by three independent "Readers", each tracing an elliptical shape.

The shape, position, and orientation of these ellipses can be freely adjusted and modulated by a flexible system of LFOs and ADSR envelopes. This allows for the creation of complex, evolving timbres and rhythmic patterns derived directly from visual information.

Features:

  • Image-Based Synthesis: Load any PNG or JPEG image to use as a sound source. The visual characteristics of the image directly influence the timbre of the sound.
  • Triple Ellipse Readers: Three independent readers scan the image, each with its own set of parameters (position, radii, angle, volume, pan, detune). Their outputs are mixed together to form the final sound.
  • Extensive Modulation:
    • 4 LFOs: Each with multiple waveforms, tempo-sync capability, and phase control.
    • 3 ADSR Envelopes: For shaping the amplitude and other parameters over time.
  • A comprehensive modulation matrix allows you to route LFOs and ADSRs to almost any reader parameter, including its geometry, volume, pan, and filter settings.
  • Per-Reader Filtering: Each reader has its own multi-mode filter (Low-Pass, High-Pass) to further shape its sound.
  • Interactive UI:
    • An interactive display shows the loaded image and the reader paths.
    • Drag handles directly on the display to manipulate the center, radii, and angle of the ellipses.
    • Real-time visualization of parameter modulations.
  • Preset System: Comes with a set of factory presets and built-in factory images to get started.

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