Show HN: Render audio waveforms to HTML canvas using WebGPU
72 comments
For cross-framework usage it'd be great if instead of being a render callback, this was distributed as an HTML custom element. Then you could easily use it in any declarative template system, even React/JSX.
I tried to make a web components here: https://lit.dev/playground/#gist=8cf935c3869bf4790653cd6fadf...
But the webgpu-waveform module isn't loading. Looks like you have a hard-coded import of "../../[email protected]/index.js", which isn't going to be a portable import even for the React users. For the non-React users, they shouldn't have to install React to get the module loading.
Could you make two entrypoints, one for React, the other for plain JS?
I tried to make a web components here: https://lit.dev/playground/#gist=8cf935c3869bf4790653cd6fadf...
But the webgpu-waveform module isn't loading. Looks like you have a hard-coded import of "../../[email protected]/index.js", which isn't going to be a portable import even for the React users. For the non-React users, they shouldn't have to install React to get the module loading.
Could you make two entrypoints, one for React, the other for plain JS?
ah, I made the dependency optional, since it all goes through an index.ts it still attemps to load React, true.
I'll find a way around this, or maybe split the package into a react version and a vanilla version. Thanks for the feedback! I think you're right, a custom element would be nice to have
I'll find a way around this, or maybe split the package into a react version and a vanilla version. Thanks for the feedback! I think you're right, a custom element would be nice to have
I mean, in a pinch you can just run a build to compile it down to a single JS bundle with zero external dependencies and then mount it into your app.
Not ideal, but works.
Not ideal, but works.
Build systems are not available everywhere, like in many online playgrounds. There's no reason not to have a browser-loadable package by default these days.
As a side note: Ardour doesn't use a GPU for waveform rendering and so along the way we discovered that the "find max + min values for this chunk of samples" is more or less the most expensive operation in the prepare-to-render step (so much so that we cache these values on disk). We got a notable performance improvement from using SIMD instruction sets for this computation.
I’ve seen the same in my own waveform rendering systems over the years. SIMD comes in handy for a lot of audio-related things, of course.
Why is it that every audio waveform renderer looks super aliased? I also recently made a fast audio waveform renderer using the best bits of Wasm and WebGL to create an animatable waveform that looks a bit less 1990s: https://play.google.com/store/apps/details?id=com.parabolare...
Happy to open/share the code, just haven't had time.
PS (yours didn't work for me in Safari)
Happy to open/share the code, just haven't had time.
PS (yours didn't work for me in Safari)
Since the number of pixels on the x-axis of the canvas is typically much smaller than the number of samples, you have to reduce the number of samples. This is very prone to aliasing if not done right, especially if you end up just drawing a line between the points. I found a good way to avoid aliasing by taking the min/max values for each chunk of samples and then filling the area in between rather than drawing lines between points. If you zoom in to a point where the window is only a few values, this will converge to the same result as just drawing lines between the samples. You can test it out by uploading audio files to our audio-to-midi web demo: https://samplab.com/audio-to-midi
My point is that everyone seems to draw waveforms using only two colours. Inevitably, this results in aliasing.
In the extreme we have the "Spotify" visualisations of vertical bars with gaps in between. I believe this is popular because it looks slightly better than a solid waveform lump with an aliased edge.
To avoid aliasing you need to use more than two pixel colours.
In the extreme we have the "Spotify" visualisations of vertical bars with gaps in between. I believe this is popular because it looks slightly better than a solid waveform lump with an aliased edge.
To avoid aliasing you need to use more than two pixel colours.
> To avoid aliasing you need to use more than two pixel colours.
The aliasing in question is of the audio not the pixels, so no more colours does not help.
The aliasing in question is of the audio not the pixels, so no more colours does not help.
Agreed, there is aliasing of the audio. But also aliasing in the way that the waveform is rendered.
Consider: would you draw a line, or a circle using only a foreground and a background pixel colour?
Consider: would you draw a line, or a circle using only a foreground and a background pixel colour?
> would you draw a line, or a circle using only a foreground and a background pixel colour?
That's 99% simple pixelation, not aliasing. And far less of a problem than the true aliasing in question.
That's 99% simple pixelation, not aliasing. And far less of a problem than the true aliasing in question.
Mathematically it's aliasing. And it's fixed by antialiasing. I'll bet everything on the screen you're looking at right now is antialiased. Would be nice if audio waveform visualisations were too.
> Mathematically it is aliasing.
Not by e.g. Wikipedia.
https://en.m.wikipedia.org/wiki/Aliasing
Not by e.g. Wikipedia.
https://en.m.wikipedia.org/wiki/Aliasing
Sure it is, it's the first thing to be said just after the title and widgets
> This article is about aliasing in signal processing, including computer graphics.
In computer graphics, the relevant aliasing is spatial aliasing, in fact mentioned in the article: the signal is the fundamental shape (such as a font glyph or a triangle mesh or whatever), and the samples are the pixels.
In the specific application of a waveform, a typical "CD quality" audio file has 44.1 thousand samples per second, and say, 16 bits per sample. If we want to display the waveform of one second of audio horizontally on an entire standard low-density full HD computer screen, we have 1920 samples to fit our 1 second of audio data, and 1080 samples of amplitude with which to paint the amplitude.
Putting it into signal processing terms, The signal frequency here is 44.1Khz, and the sampling frequency is 1.92Khz. Do you see how aliasing applies now? We want to represent f_Signal / f_Sample = 22.96875 samples of audio with 1 sample.
In practice you get an even worse ratio, because we usually want more than 1 second of waveform to be visible on a region that isn't the entire screen.
> This article is about aliasing in signal processing, including computer graphics.
In computer graphics, the relevant aliasing is spatial aliasing, in fact mentioned in the article: the signal is the fundamental shape (such as a font glyph or a triangle mesh or whatever), and the samples are the pixels.
In the specific application of a waveform, a typical "CD quality" audio file has 44.1 thousand samples per second, and say, 16 bits per sample. If we want to display the waveform of one second of audio horizontally on an entire standard low-density full HD computer screen, we have 1920 samples to fit our 1 second of audio data, and 1080 samples of amplitude with which to paint the amplitude.
Putting it into signal processing terms, The signal frequency here is 44.1Khz, and the sampling frequency is 1.92Khz. Do you see how aliasing applies now? We want to represent f_Signal / f_Sample = 22.96875 samples of audio with 1 sample.
In practice you get an even worse ratio, because we usually want more than 1 second of waveform to be visible on a region that isn't the entire screen.
> the signal is the fundamental shape (such as a font glyph or a triangle mesh or whatever)
No. The signal components being aliased are frequencies e.g. repeating patterns.
"aliasing is the overlapping of frequency components resulting from a sample rate below the Nyquist rate."
That is why the example is a brick wall and the result is moire banding. Nothing like your shapes and jaggies.
What you've mistaken for aliasing is simply pixellation.
No. The signal components being aliased are frequencies e.g. repeating patterns.
"aliasing is the overlapping of frequency components resulting from a sample rate below the Nyquist rate."
That is why the example is a brick wall and the result is moire banding. Nothing like your shapes and jaggies.
What you've mistaken for aliasing is simply pixellation.
These are the same thing. A shape with a solid boundary is a a signal with a discontinuous step: If you Fourier it, it has infinite nonzero terms, therefore you can't represent it exactly with any finite amount of frequencies, and therefore a finite amount of samples.
In the case of Moiré patterns in pictures, we have lines in the real world that need to fit into pixels that fit a larger area than the Nyquist rate of those lines. The Moiré effect in pictures is just the interference pattern caused by this aliasing.
If you look at just a column of the image, and imagine the signal as being the brightness varying over the Y coordinates, you can imagine the mortar being an occasional regular pulse, and when your sampling rate (the pixel density) isn't enough, you get aliasing: you skip over, or overrepresent, the mortar to brick ratio, variably along the signal.
https://imgur.com/a/BiZcxG5
Now if you look at the graph in that picture, doesn't that look awfully similar to what happens if you try to sample an audio file at an inferior rate for display purposes?
In fact, try it right now, download Audacity, go to Generate>Tone, click OK with whatever settings it's fine, press Shift+Z to go down to sample level zoom, then start zooming out. Eventually, you'll see some interesting patterns, which are exactly the sort of aliasing caused by resampling I'm talking about:
https://i.imgur.com/bX2IFp8.png
In the case of Moiré patterns in pictures, we have lines in the real world that need to fit into pixels that fit a larger area than the Nyquist rate of those lines. The Moiré effect in pictures is just the interference pattern caused by this aliasing.
If you look at just a column of the image, and imagine the signal as being the brightness varying over the Y coordinates, you can imagine the mortar being an occasional regular pulse, and when your sampling rate (the pixel density) isn't enough, you get aliasing: you skip over, or overrepresent, the mortar to brick ratio, variably along the signal.
https://imgur.com/a/BiZcxG5
Now if you look at the graph in that picture, doesn't that look awfully similar to what happens if you try to sample an audio file at an inferior rate for display purposes?
In fact, try it right now, download Audacity, go to Generate>Tone, click OK with whatever settings it's fine, press Shift+Z to go down to sample level zoom, then start zooming out. Eventually, you'll see some interesting patterns, which are exactly the sort of aliasing caused by resampling I'm talking about:
https://i.imgur.com/bX2IFp8.png
> you'll see some interesting patterns, which are exactly the sort of aliasing caused by resampling I'm talking about
I see this and agree. This is true aliasing. I believe this is the OP's "super aliased" look.
However I disagree that this is "the same thing" as the jaggies that can be avoided by more colours.
This cannot be avoided by more colours. It can be avoided only by increased resampling rate.
I see this and agree. This is true aliasing. I believe this is the OP's "super aliased" look.
However I disagree that this is "the same thing" as the jaggies that can be avoided by more colours.
This cannot be avoided by more colours. It can be avoided only by increased resampling rate.
Its much easier to read the information with the aliasing
> Since the number of pixels on the x-axis of the canvas is typically much smaller than the number of samples
That's not the cause. The cause is simply that too few of the samples are plotted.
Your min/max solution succeeds by ensuring all significant samples are plotted.
That's not the cause. The cause is simply that too few of the samples are plotted.
Your min/max solution succeeds by ensuring all significant samples are plotted.
If you're canvas has say 2000 pixels on the x-axis and you're trying to plot one second of 44.1kHz audio, you'll end up with more than 20 samples per pixel. You can then either reduce the number of samples or draw multiple lines within that pixel. Both approaches can result in aliasing. OP's approach seems to just draw lines between every sample, so using the second option. If you change the "Scale" in the example, you can clearly see how peaks appear/disappear due to aliasing (especially between 200 - 400 frames / px).
> You can then either reduce the number of samples or draw multiple lines within that pixel. Both approaches can result in aliasing.
I would disagree that the latter can result in the "super aliased" in question.
Drawing one line per sample leaves very little aliasing.
I would disagree that the latter can result in the "super aliased" in question.
Drawing one line per sample leaves very little aliasing.
The min/max solution doesn't prevent aliasing.
Consider that if you do manage to avoid aliasing, you'll be rendering something visually akin to a downscaled version of a fully-detailed, high-resolution plot of the waveform.
It renders a waveform that looks very similar to what it would look like if you drew a line between all points. If you have 100 samples per pixel and you draw lines between all of them, you'll essentially end up with a filled area that goes from the lowest sample to the highest. So practically the same thing as just taking the min and max and then filling everything in between. The advantage is that you're avoiding all those lines in between. If you zoom it, the signal changes very smoothly without those aliasing effects where peaks appear and disappear. The web demo currently doesn't allow zooming in, so you can't test it there, but if you download the whole Samplab app (https://samplab.com/download), you can try out what it looks like when zooming in.
A great explanation.
Min/max does prevent the "super aliased" result in question. I'd agree it leaves a little aliasing.
why not low pass filter / decimate the wave form to remove aliasing ?
You have to down sample by a lot (easily 10-100x). That would essentially remove a lot of the information in the signal. If you low pass filter you essentially remove all the peaks and the signal looks much "quieter" than it actually is.
Oh this looks great, I'd love to have a look if you have time to share it. In my case, I'm just not very experienced with graphics. I'm sure with some tweaking it could look better, but I thought this was good enough for a v1.
Re Safari: Unfortunately WebGPU support is still WIP. I'll add a notice on the site haha. https://caniuse.com/webgpu
Re Safari: Unfortunately WebGPU support is still WIP. I'll add a notice on the site haha. https://caniuse.com/webgpu
Thanks. I picked a fixed number of horizontal pixels per second for an internally cached image. I think it was 30 pixels/second so that scrolling at 1x playback rate would be smooth on 60/90/120Hz screens. So it can't zoom into the waveform like yours, but I don't need it to zoom.
There are two parts: first the C++/wasm that analyses the audio and generates a bitmap that has width 30*duration and not very high. It effectively draws a line from each audio sample to the next, with alpha, but this can be optimised like crazy to a point where the time it takes is unnoticeable.
The second part is the WebGL that the bitmap (aka texture) and renders to the canvas. In principle this could be rotated, spun in 3d, mapped to a sphere or any other crazy GPU manipulations. WebGL isn't too painful and works everywhere I tried including the Android webview in my Bungee Timewarp app.
There are two parts: first the C++/wasm that analyses the audio and generates a bitmap that has width 30*duration and not very high. It effectively draws a line from each audio sample to the next, with alpha, but this can be optimised like crazy to a point where the time it takes is unnoticeable.
The second part is the WebGL that the bitmap (aka texture) and renders to the canvas. In principle this could be rotated, spun in 3d, mapped to a sphere or any other crazy GPU manipulations. WebGL isn't too painful and works everywhere I tried including the Android webview in my Bungee Timewarp app.
In Safari, you can enable it under Develop > Feature flags.
This is beautiful! I'd love to learn from the code.
WebGPU only works in Chromium based browsers.
No appropriate GPUAdapter found.
I've turned on in chrome://flags
>WebGPU Developer Features Enables web applications to access WebGPU features intended only for use during development. – Mac, Windows, Linux, ChromeOS, Android, Fuchsia, Lacros #enable-webgpu-developer-features
Chrome is up to date Version 123.0.6312.123 (Official Build) (64-bit)
RTX2060
I've turned on in chrome://flags
>WebGPU Developer Features Enables web applications to access WebGPU features intended only for use during development. – Mac, Windows, Linux, ChromeOS, Android, Fuchsia, Lacros #enable-webgpu-developer-features
Chrome is up to date Version 123.0.6312.123 (Official Build) (64-bit)
RTX2060
This needs a screenshot in GitHub, otherwise all I see is "No appropriate GPUAdapter found". Was WebGPU actually justified?
This and browser support info. Currently WebGPU is WIP in Safari and FF.
https://caniuse.com/webgpu
If you're using Chrome and getting this error, do share more info.
As for justification, it was justified. Rendering waveforms is O(n) on pixels, and each can be rendered independently. I'm sure one can get creative with caching images at different resolutions to efficiently implement zooming, but otherwise it's noticeably slow.
https://caniuse.com/webgpu
If you're using Chrome and getting this error, do share more info.
As for justification, it was justified. Rendering waveforms is O(n) on pixels, and each can be rendered independently. I'm sure one can get creative with caching images at different resolutions to efficiently implement zooming, but otherwise it's noticeably slow.
I used latest Chrome on Android smartphone. It was kind of expected for me, that WebGPU does not work there. As I understand, WebGPU actually requires compute-capable GPU. Meanwhile WebGL fallbacks to software rendering via SwiftShader.
It should work perfectly fine on Android 12 and later devices.
I did something similar with regular DOM nodes and css flex here:
https://bigwav.app
Every vertical line is a dom element.
I was considering moving to GPU rendering as the dom approach can take a long time to re render on changes.
https://bigwav.app
Every vertical line is a dom element.
I was considering moving to GPU rendering as the dom approach can take a long time to re render on changes.
The resulting style looks really cool. This would definitely be doable with the GPU. A halfway-step could be to draw rects on canvas too— it should be faster than the DOM approach, but less complicated than writing a GPU shader.
Feedback: it would be great if on the example site interactive demo, the waveform offset could be increased by scrolling / swiping left and right, and the scale should also change by zooming in and out.
I think you're right. That's the way I use it in the app I built this for:
https://twitter.com/aykev/status/1780000204122460484
It's more code, so I said "later". I also wanted the first example to be easy to read so people wouldn't get lost in the source. But since it's such a common use-case I think I'll add it too. Thanks for the feedback!
https://twitter.com/aykev/status/1780000204122460484
It's more code, so I said "later". I also wanted the first example to be easy to read so people wouldn't get lost in the source. But since it's such a common use-case I think I'll add it too. Thanks for the feedback!
Nice! Great project website styling and demo.
I had a WebGPU scope demo using vanila JS here, but it's not connected to AudioContext at all.
https://stackblitz.com/edit/vitejs-vite-cuc9vs
Still, I had to use the old WebGL solution for https://glicol.org since the WebGPU support seems to be pretty slow at the moment. Perhaps you can add some kind of detection and downgrade mechanism?
I had a WebGPU scope demo using vanila JS here, but it's not connected to AudioContext at all.
https://stackblitz.com/edit/vitejs-vite-cuc9vs
Still, I had to use the old WebGL solution for https://glicol.org since the WebGPU support seems to be pretty slow at the moment. Perhaps you can add some kind of detection and downgrade mechanism?
It looks nice. If WebGPU is adopted by more browsers, it will probably be pretty useful for doing real-time visualizations of audio.
In Emurse, we render waveform, and also pitch plots of audio recordings using canvas. It's pretty fast, but ours are a bit lower-resolution. The most resource-intensive part of the operation is actually processing the processing the audio.
In Emurse, we render waveform, and also pitch plots of audio recordings using canvas. It's pretty fast, but ours are a bit lower-resolution. The most resource-intensive part of the operation is actually processing the processing the audio.
No appropriate GPUAdapter found
I get the same on an M2 macbook air. Wonder if it's platform-specific.
Also on M3 MBP. I thought it might be a Safari limitation, but I try to avoid running Chrome as much as possible so I don’t know.
On my M1 MBP, Safari 17.4.1, it straight up doesn't work. Can I Use does say Safari only support WebGPU on TP and behind a flag: https://caniuse.com/?search=webgpu
Perhaps a Safari TP bug? I'd appreciate some browser version info so I can dig deeper.
Perhaps a Safari TP bug? I'd appreciate some browser version info so I can dig deeper.
Works for me on Safari 17.4 (Sonoma 14.4.1, M2)
Interesting. I'm assuming Apple is doing some sort of A/B test then, and WebGPU must be enabled for some people but not others. huh.
It’s behind a flag. Enable the Develop menu if you haven’t, go to Develop|Feature Flags and you’ll find the setting to enable WebGPU (which is listed as “testing”).
Chromium Linux gets the same error here.
> WebGPU not supported in this browser.
Pretty current firefox on Linux. Oh well.
Pretty current firefox on Linux. Oh well.
Very cool! How do you like WebGPU compared to WebGL?
I prefer it! It's definitely more verbose, but as someone who doesn't do graphics usually, I find it fits my mental model a little better.
I tried to build this using WebGL before WebGPU was publicly available, but WebGL is very tailored to certain workflows and I didn't make much progress. It really felt like I was using the wrong tool for the job. Maybe I'm just too much of a noob... though I did manage to build it with WebGPU after all haha.
I tried to build this using WebGL before WebGPU was publicly available, but WebGL is very tailored to certain workflows and I didn't make much progress. It really felt like I was using the wrong tool for the job. Maybe I'm just too much of a noob... though I did manage to build it with WebGPU after all haha.
This is how I do it using WebGL: https://github.com/miniBill/audio-editor/blob/main/src/View/...
Cool, but the example wave form looks wrong? It doesn't appear to oscillate evenly as audio normally would.
It's an audio file linked from the description of this video:
https://www.youtube.com/watch?v=qeUAHHPt-LY
Its a waveform shaped like a cow that sounds like a cow haha
https://www.youtube.com/watch?v=qeUAHHPt-LY
Its a waveform shaped like a cow that sounds like a cow haha
Hi, please can you show an image on your github repo? Thank you
It's the first time I use WebGPU and it's been a while since I write shaders. Feedback is very welcome!
GitHub: https://github.com/mrkev/webgpu-waveform Examples: https://aykev.dev/webgpu-waveform