A Streamlit component for displaying and interacting with audio waveforms.
Project description
Streamlit Wavesurfer Component
Forked and extended from PiotrDabkowski/streamlit_wavesurfer
A powerful, extensible Streamlit component for interactive audio waveform visualization and annotation, powered by wavesurfer.js.
Features
- Customizable Waveform: Style the waveform and progress bar, set height, and more.
- Regions: Add, edit, and remove regions with callbacks to Python. Supports region metadata and color mapping with colormap.
- Keyboard Shortcuts: Nudge, play/pause, and and navigate regions with the keyboard for more for efficient annotation.
- Plugin System: Enable/disable wavesurfer.js plugins (regions, spectrogram, timeline, zoom, hover, minimap, overlay) with type-safe configuration from Python.
- Spectrogram View: Visualize audio frequency content (enable via plugin).
- Extensible: Add your own plugins or overlays via my other project wavesurfer-overlay-plugin.
- Numpy Audio Support: Load audio directly from numpy arrays or via popular python libs like librosa, pydub or soundfile.
- Type-Safe, Modern React Frontend: Built with Jotai, shadcn/ui, and TailwindCSS.
Quickstart
1. Install
pip install streamlit-wavesurfer
2. Basic Usage
import streamlit as st
from streamlit_wavesurfer import wavesurfer, Region
# Define regions
regions = [
Region(start=0, end=5, content="Intro"),
Region(start=5, end=10, content="Verse"),
]
# Display the waveform
wavesurfer(
audio_src="https://example.com/audio.mp3",
regions=regions,
plugins=["regions", "timeline", "zoom"], # Enable desired plugins
show_controls=True,
)
3. Advanced: Custom Plugin Configuration
from streamlit_wavesurfer import WaveSurferPluginConfiguration, OverlayPluginOptions
overlay_plugin = WaveSurferPluginConfiguration(
name="overlay",
options=OverlayPluginOptions(
imageUrl="https://example.com/overlay.png",
position="overlay",
opacity=0.5,
),
)
wavesurfer(
audio_src="https://example.com/audio.mp3",
plugins=[overlay_plugin, "regions", "timeline"],
)
Supported Plugins
regions: Mark and annotate audio segments.timeline: Show time notches and labels.zoom: Zoom in/out of the waveform.hover: Show time on hover.minimap: Scrollbar-style mini waveform.spectrogram: Frequency visualization.overlay: Overlay images on the waveform.
See the wavesurfer.js plugin docs for details.
API
wavesurfer(...)
| Argument | Type | Description |
|---|---|---|
audio_src |
str | URL or path to audio file (or base64/numpy, planned) |
regions |
list | List of Region or dicts |
plugins |
list | List of plugin names or WaveSurferPluginConfiguration |
wave_options |
object | Waveform display options |
region_colormap |
str | Colormap for region coloring |
show_controls |
bool | Show play/pause/skip controls |
key |
str | Streamlit component key |
Returns:
- The current state, including regions and last update timestamp.
Region
Region(start: float, end: float, content: str, id: Optional[str] = None, color: Optional[str] = None)
🛠️ Development
- Frontend: React, TypeScript, Jotai, shadcn/ui, TailwindCSS
- Backend: Python, Streamlit
- Package manager: bun (not npm)
Build Frontend
cd streamlit_wavesurfer/frontend
bun install
bun run build
Run Example App
streamlit run streamlit_wavesurfer/__init__.py
Known Issues / TODO
- Allow skipping to region/time from Python
- Load audio from numpy arrays
- Region validation from Python
- Keyboard shortcuts require initial button press
See wavesurfer.js docs and Streamlit docs for more.
Contributions welcome!
LICENSE MIT
© 2025 Liam Power
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