pedalboard
is a Python library for working with audio: reading, writing, adding effects, and more. It supports most popular audio file formats and a number of common audio effects out of the box, and also allows the use of VST3ยฎ and Audio Unit formats for third-party plugins.
pedalboard
was built by Spotify's Audio Intelligence Lab to enable using studio-quality audio effects from within Python and TensorFlow. Internally at Spotify, pedalboard
is used for data augmentation to improve machine learning models. pedalboard
also helps in the process of content creation, making it possible to add effects to audio without using a Digital Audio Workstation.
- Built-in audio I/O utilities (pedalboard.io)
- Support for reading and writing AIFF, FLAC, MP3, OGG, and WAV files on all platforms with no dependencies
- Additional support for reading AAC, AC3, WMA, and other formats depending on platform
- Built-in support for a number of basic audio transformations, including:
- Guitar-style effects:
Chorus
,Distortion
,Phaser
- Loudness and dynamic range effects:
Compressor
,Gain
,Limiter
- Equalizers and filters:
HighpassFilter
,LadderFilter
,LowpassFilter
- Spatial effects:
Convolution
,Delay
,Reverb
- Pitch effects:
PitchShift
- Lossy compression:
GSMFullRateCompressor
,MP3Compressor
- Quality reduction:
Resample
,Bitcrush
- Guitar-style effects:
- Supports VST3ยฎ plugins on macOS, Windows, and Linux (pedalboard.load_plugin)
- Supports Audio Units on macOS
- Strong thread-safety, memory usage, and speed guarantees
- Releases Python's Global Interpreter Lock (GIL) to allow use of multiple CPU cores
- No need to use
multiprocessing
!
- No need to use
- Even when only using one thread:
- Processes audio up to 300x faster than pySoX for single transforms, and 2-5x faster than SoxBindings (via iCorv)
- Reads audio files up to 4x faster than librosa.load (in many cases)
- Releases Python's Global Interpreter Lock (GIL) to allow use of multiple CPU cores
- Tested compatibility with TensorFlow - can be used in
tf.data
pipelines!
pedalboard
is available via PyPI (via Platform Wheels):
pip install pedalboard # That's it! No other dependencies required.
If you are new to Python, follow INSTALLATION.md for a robust guide.
pedalboard
is thoroughly tested with Python 3.6, 3.7, 3.8, 3.9, and 3.10 as well as experimental support for Python 3.11 and PyPy 3.7, 3.8, and 3.9.
- Linux
- Tested heavily in production use cases at Spotify
- Tested automatically on GitHub with VSTs
- Platform
manylinux
wheels built forx86_64
(Intel/AMD) andaarch64
(ARM/Apple Silicon) - Most Linux VSTs require a relatively modern Linux installation (with glibc > 2.27)
- macOS
- Tested manually with VSTs and Audio Units
- Tested automatically on GitHub with VSTs
- Platform wheels available for both Intel and Apple Silicon
- Compatible with a wide range of VSTs and Audio Units
- Windows
- Tested automatically on GitHub with VSTs
- Platform wheels available for
amd64
(x86-64, Intel/AMD)
from pedalboard import Pedalboard, Chorus, Reverb
from pedalboard.io import AudioFile
# Read in a whole audio file:
with AudioFile('some-file.wav', 'r') as f:
audio = f.read(f.frames)
samplerate = f.samplerate
# Make a Pedalboard object, containing multiple plugins:
board = Pedalboard([Chorus(), Reverb(room_size=0.25)])
# Run the audio through this pedalboard!
effected = board(audio, samplerate)
# Write the audio back as a wav file:
with AudioFile('processed-output.wav', 'w', samplerate, effected.shape[0]) as f:
f.write(effected)
# Don't do import *! (It just makes this example smaller)
from pedalboard import *
from pedalboard.io import AudioFile
with AudioFile('guitar-input.wav', 'r') as f:
audio = f.read(f.frames)
samplerate = f.samplerate
# Make a pretty interesting sounding guitar pedalboard:
board = Pedalboard([
Compressor(threshold_db=-50, ratio=25),
Gain(gain_db=30),
Chorus(),
LadderFilter(mode=LadderFilter.Mode.HPF12, cutoff_hz=900),
Phaser(),
Convolution("./guitar_amp.wav", 1.0),
Reverb(room_size=0.25),
])
# Pedalboard objects behave like lists, so you can add plugins:
board.append(Compressor(threshold_db=-25, ratio=10))
board.append(Gain(gain_db=10))
board.append(Limiter())
# ... or change parameters easily:
board[0].threshold_db = -40
# Run the audio through this pedalboard!
effected = board(audio, samplerate)
# Write the audio back as a wav file:
with AudioFile('processed-output.wav', 'w', samplerate, effected.shape[0]) as f:
f.write(effected)
from pedalboard import Pedalboard, Reverb, load_plugin
from pedalboard.io import AudioFile
# Load a VST3 or Audio Unit plugin from a known path on disk:
vst = load_plugin("./VSTs/RoughRider3.vst3")
print(vst.parameters.keys())
# dict_keys([
# 'sc_hpf_hz', 'input_lvl_db', 'sensitivity_db',
# 'ratio', 'attack_ms', 'release_ms', 'makeup_db',
# 'mix', 'output_lvl_db', 'sc_active',
# 'full_bandwidth', 'bypass', 'program',
# ])
# Set the "ratio" parameter to 15
vst.ratio = 15
# Use this VST to process some audio:
with AudioFile('some-file.wav', 'r') as f:
audio = f.read(f.frames)
samplerate = f.samplerate
effected = vst(audio, samplerate)
# ...or put this VST into a chain with other plugins:
board = Pedalboard([vst, Reverb()])
# ...and run that pedalboard with the same VST instance!
effected = board(audio, samplerate)
This example creates a delayed pitch-shift effect by running
multiple Pedalboards in parallel on the same audio. Pedalboard
objects are themselves Plugin
objects, so you can nest them
as much as you like:
from pedalboard import Pedalboard, Compressor, Delay, Distortion, Gain, PitchShift, Reverb, Mix
passthrough = Gain(gain_db=0)
delay_and_pitch_shift = Pedalboard([
Delay(delay_seconds=0.25, mix=1.0),
PitchShift(semitones=7),
Gain(gain_db=-3),
])
delay_longer_and_more_pitch_shift = Pedalboard([
Delay(delay_seconds=0.5, mix=1.0),
PitchShift(semitones=12),
Gain(gain_db=-6),
])
board = Pedalboard([
# Put a compressor at the front of the chain:
Compressor(),
# Run all of these pedalboards simultaneously with the Mix plugin:
Mix([
passthrough,
delay_and_pitch_shift,
delay_longer_and_more_pitch_shift,
]),
# Add a reverb on the final mix:
Reverb()
])
For more examples, see:
- the "examples" folder of this repository
- the "Pedalboard Demo" Colab notebook
- an interactive web demo on Hugging Face Spaces and Gradio (via @AK391)
Contributions to pedalboard
are welcomed! See CONTRIBUTING.md for details.
pedalboard
is Copyright 2021-2022 Spotify AB.
pedalboard
is licensed under the GNU General Public License v3. pedalboard
includes a number of libraries that are statically compiled, and which carry the following licenses:
- The core audio processing code is pulled from JUCE 6, which is dual-licensed under a commercial license and the GPLv3.
- The VST3 SDK, bundled with JUCE, is owned by Steinbergยฎ Media Technologies GmbH and licensed under the GPLv3.
- The
PitchShift
plugin uses the Rubber Band Library, which is dual-licensed under a commercial license and the GPLv2 (or newer). - The
MP3Compressor
plugin uses libmp3lame from the LAME project, which is licensed under the LGPLv2 and upgraded to the GPLv3 for inclusion in this project (as permitted by the LGPLv2). - The
GSMFullRateCompressor
plugin uses libgsm, which is licensed under the ISC license and compatible with the GPLv3.
VST is a registered trademark of Steinberg Media Technologies GmbH.