Advanced Python Synthesizer

andreasBlog2 weeks ago43 Views

Virtual piano (clickable) drawn on a Tkinter Canvas

Wave recorder (save to WAV) — records the synth’s mixed output

Presets: Soft Pad, Chiptune Lead, Bass

The earlier features: waveforms, polyphony, ADSR, LFO vibrato, low-pass filter, master volume

VST support (practical path) via MIDI-out to an external VST (DAW or Carla) using mido + python-rtmidi (details below)

Requirements

pip install sounddevice numpy soundfile mido python-rtmidi

Linux might need: sudo apt-get install portaudio19-dev
Windows may need MSVC Redistributable.

Virtual piano: draws white/black keys on a Canvas, maps each rectangle to a MIDI note, and handles mouse down/drag/up to trigger note_on/note_off (with visual pressed-state).
Recorder: the synth’s audio callback calls capture_cb(buf); a background Recorder writes those float32 blocks to a WAV file (16-bit) using soundfile.
Presets: a dict of parameter sets (waveform, ADSR, LFO, cutoff, master_gain). Selecting a preset updates the synth live.
MIDI-out to VST: enable the checkbox, pick a MIDI output port (e.g., “loopMIDI Port” on Windows, “IAC Driver” on macOS, or a Carla/DAW virtual input). The app sends note_on/note_off to your VSTi while muting internal audio notes (so you hear the plugin instead).

Hosting VST/VST3 plugins directly inside Python isn’t practical with pure Python today (it requires the Steinberg VST3 SDK and a C++ host like JUCE, plus bindings).
The most reliable Python route is what we implemented: send MIDI to a VST host (DAW, Carla, Cantabile, MainStage, etc.). That gives you the same musical result with a clean, Pythonic control surface.
If you truly need an embedded plugin host, consider:
- Writing a minimal JUCE app (C++) and exposing a socket/OSC/HTTP control API to Python, or
- Using Carla as an external plugin host (it has OSC; Python can control parameters/presets via python-osc), or
- Building pybind11 bindings around a lightweight C++ VST host (advanced).