Podcast video

Jive Visualiser

Spin your podcast .wav into a groovy MP4 visualiser with spring-driven real-time audio frequencies.

Formerly Jivefire.

Audio in. Video out.

# Render a 720p visualiser video
$ jive-visualiser input.wav output.mp4

# Add the episode number and title
$ jive-visualiser --episode=42 \
    --title="Linux Matters" \
    input.wav output.mp4

More than a static image

Bars that groove
through every frequency.

Jive Visualiser transforms WAV, MP3, or FLAC audio into 720p visuals: bars that breathe with your dialogue and rise with your laughter.

Read the architecture document

64 discrete frequency bars: Bars that look discrete, not a smeared spectrum. Symmetric mirroring above and below the centre doubles the visual impact.
Ready for YouTube: 1280×720 at 30 fps, with H.264 video and AAC audio in an MP4. No questions asked.
A thumbnail as well: A YouTube-style PNG with your title, saved alongside the video.

Under the bars

Analysed. Sprung. Encoded.

Jive Visualiser does the analysis and bar rendering itself, then pipes the frames to its embedded FFmpeg.

FFT analysis

A 2048-point Hanning window, linear frequency binning, and log-scaled amplitude.
Spring-driven dynamics

Bars snap up instantly, then spring back down with a peak hold.
Stupidly fast

A streaming pipeline, with GPU acceleration detected automatically: NVENC, Vulkan, VA-API, QuickSync, and VideoToolbox.

Get started