https://github.com/realies/audiowaveform-docker

⛴ Audiowaveform Docker Container
https://github.com/realies/audiowaveform-docker

alpine-linux amd64 arm64 audiowaveform bbc docker static

Last synced: 2 months ago
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⛴ Audiowaveform Docker Container

• Host: GitHub
• URL: https://github.com/realies/audiowaveform-docker
• Owner: realies
• Created: 2019-01-16T00:40:57.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-10-25T00:22:28.000Z (9 months ago)
• Last Synced: 2025-04-07T23:11:13.924Z (3 months ago)
• Topics: alpine-linux, amd64, arm64, audiowaveform, bbc, docker, static
• Language: Dockerfile
• Homepage: https://hub.docker.com/r/realies/audiowaveform
• Size: 37.1 KB
• Stars: 13
• Watchers: 3
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Audio Waveform Image Generator Docker Container

![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/realies/audiowaveform-docker/build.yml)

![Docker Build](https://img.shields.io/docker/automated/realies/audiowaveform)

![Docker Pulls](https://img.shields.io/docker/pulls/realies/audiowaveform)

![Docker Image Size](https://img.shields.io/docker/image-size/realies/audiowaveform)

**audiowaveform** is a C++ command-line application that generates waveform data

from either MP3, WAV, FLAC, Ogg Vorbis, or Opus format audio files. Waveform data can

be used to produce a visual rendering of the audio, similar in appearance to

audio editing applications. The code for the application binary can be found [here](https://github.com/bbc/audiowaveform).

Compiled for 386, amd64, arm/v6, arm/v7, arm64, ppc64le, s390x.

![Example Waveform](https://raw.githubusercontent.com/bbc/audiowaveform/master/doc/example.png "Example Waveform")

Waveform data files are saved in either binary format (.dat) or JSON (.json).

Given an input waveform data file, **audiowaveform** can also render the audio

waveform as a PNG image at a given time offset and zoom level.

## Typical Usage

##### Using Docker CLI

```

alias awf='docker run --rm -v `pwd`:/tmp -w /tmp realies/audiowaveform'

awf -i input.wav -o output.png

```