wav2vec is a Python script and package for converting waveform files (WAV or AIFF) to vector graphics (SVG or PostScript). Use cases include using an audio waveform as an element in a graphic design or including a waveform in a document.
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This project is completely unrelated to the wav2vec speech recognition model (which was published after this tool).
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Portable: runs on Python 2.7+ and Python 3 and does not depend on any third-party packages.
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Python 3.13 will remove the standard library
sndhdrpackage (used bywav2vecto detect the file type) so if you are running Python 3.13 or later you will need to install the filetype package.
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Supported PCM input file formats:
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8-bit signed AIFF
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8-bit unsigned WAV
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16-bit signed WAV and AIFF
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32-bit signed WAV and AIFF
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Floating point WAV files are not supported because they are not yet supported by the Python
wavemodule (python/cpython#60729)
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Input file format is automatically detected and handled (the file name/extension is unimportant)
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Output file formats:
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Scalable Vector Graphics (SVG)
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PostScript
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Comma-Separated Values (CSV)
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Easy to write a custom output formatter
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Options to scale the output data
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Can process input files in chunks so large files can be processed with minimal memory
The easiest way to install wav2vec is to use pip to install from the Python Package Index:
$ pip install wav2vecDepending on your system, in order to install in the Python 3 path, you may have to use pip3 instead of pip.
Once the package is installed using pip (see above), the command can be invoked as wav2vec. It takes an input file and outputs (SVG, by default) to stdout:
$ wav2vec filename.wav > filename.svgRun wav2vec -h to get a usage summary:
usage: wav2vec [-h] [--format {PostScript,SVG,CSV}] [--width WIDTH]
[--height HEIGHT] [--stream BS] [--downtoss N]
[--log {DEBUG,INFO,WARNING,ERROR,CRITICAL}]
filename
Convert WAV and AIFF files to vector (SVG, PostScript, CSV) graphics.
positional arguments:
filename The WAV file to read
optional arguments:
-h, --help show this help message and exit
--format {PostScript,SVG,CSV}, -f {PostScript,SVG,CSV}
The output format, one of: SVG, CSV, PostScript.
Default is SVG.
--width WIDTH Maximum width of generated SVG (graphic will be scaled
down to this size in px)
--height HEIGHT Maximum height of generated SVG (graphic will be
scaled down to this size in px). Note that this scales
according to the highest possible amplitude (given the
sample bit depth), not the highest amplitude that
actually occurs in the data.
--stream BS Stream the input file size in chunks (of BS number of
frames at a time) and process/format each chunk
separately. Useful for conserving memory when
processing large files, but note that multi-channel
paths will be split up into BS-sized chunks. By
default BS=0, which causes the entire file to be read
into memory before processing.
--downtoss N Downsample by keeping only 1 out of every N samples.
--log {DEBUG,INFO,WARNING,ERROR,CRITICAL}
Set the logging level.
The output is sent to stdout.
The --format flag sets the output format. wav2vec includes three formatters: SVG (default if no --format is given), PostScript, and CSV.
$ wav2vec filename.wav --format PostScript > output.psUse the --width and --height options to scale the output so that its maximum bounds are equal to or less than the values following the flags. In SVG these values are pixels ("user units"); in PostScript the values are interpreted as pts (1/72 of an inch). By default (if the flags are not given), the width is set to 1000 and the height to 500.
$ wav2vec filename.wav --width 500 --height 350 > output.svgBy default, wav2vec reads the entire input file into memory and then streams the output to stdout as it process it. Passing the --stream flag will cause wav2vec to process the input file in chunks. This can be useful if the input file is very big and won’t fit into available memory. The --stream flag requires one argument, the number of frames to read and process at a time (each frame includes one sample from each channel). A value of around 1024 seems to work well.
$ wav2vec filename.aiff --stream 1024 > output.svgNote that using the --stream flag on files with multiple channels will result in non-continuous paths in the output (because channel data is interleaved in WAV/AIF files).
Note also that converting very large audio files to SVG may not be practical: most SVG editors will not handle paths with hundreds of thousands or millions of points well.
The --downtoss N flag will keep only 1 out of every N samples. This is a brutal form of downsampling which will clobber high frequency and add aliasing noise. It’s best to instead downsample in your waveform recorder/editor before processing (or in your drawing program after processing).
You can also import wav2vec in order to convert wave files to the supported output formats in your own Python scripts. The package provides two main classes: WavDecoder and the abstract Formatter (and the concrete implementations: SVGFormatter, PSFormatter, and CSVFormatter). The documentation is currently contained in the source files; look at main.py for an example of usage.
The WavDecoder class wraps the standard library’s wave and aifc modules and provides an easy way to read and decode WAV/AIFF files. Use it as a context manager to ensure close() is called. Use it as an iterator to process all frames:
>>> wd = WavDecoder('filename')
>>> with wd as data:
>>> for frames in data:
>>> print(frames)The Formatter class is an abstract base class which defines the interface for all formatters which output WAV data in textual formats. Each concrete subclass of Formatter takes a WavDecoder object in its constructor which is what is responsible for reading/decoding data from a WAV or AIFF file.
The output() method will stream output to a file (stdout by default), but the entire output string can be captured using the str() method.
>>> wd = WavDecoder("filename")
>>> svgformatter = SVGFormatter(wd)
>>> svgformatter.output() # outputs SVG to stdout
>>> svg_str = str(svgformatter) # get SVG as a stringHere’s what the tests/valfiles/snd/test-16-stereo.wav file looks like in Audacity:
We can convert it to an SVG and then open it in Inkscape:
$ wav2vec tests/valfiles/snd/test-16-stereo.wav > test.svg
$ inkscape test.svg
Then we can use Inkscape to non-destructively add filters and path effects and otherwise incorporate the waveform into a design:
To convert to PostScript instead of SVG:
$ wav2vec tests/valfiles/snd/test-16-stereo.wav -f PostScript > test.ps
$ ps2pdf test.ps
$ evince test.pdfThe above uses the Ghostscript ps2pdf tool to convert the resulting PostScript file to PDF and then opens it in the evince PDF reader (shown in the screenshot below). You could instead open test.ps directly in a PostScript viewer (or send it to a printer/plotter, or embed it in a LaTeX document, etc).
Creating a custom formatter is simply a matter of subclassing Formatter and overriding the five abstract methods it defines. Use the included SVGFormatter, PSFormatter, or CSVFormatter as a template (see wav2vec/formatter/formatters.py).
Please feel free to use the Github issue tracker as a support forum for any questions, suggestions, bug reports, or feature requests. Thanks! https://github.com/cristoper/wav2vec/issues
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Audacity is a good Free audio recorder and waveform editor.
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Inkscape is a Free SVG-based drawing program
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Ghostscript is a Free PostScript interpreter which can distill to PDF.
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php-waveform-svg is a PHP script for converting mp3→wav→svg. (It looks simple, but I haven’t tried it.)