Drop your episode in. Add your cover art and title. Pick a clean, broadcast-quality visualizer style. Export an MP4 ready for YouTube, Spotify Video, Reels, or your Patreon — all in your browser, no signup.
Most "audio visualizers" are made for EDM drops. Shimga has clean, professional styles that work with conversation, not against it.
Soft waveforms, gentle bars, ambient particles. None of the strobing chaos that makes podcasts feel like dubstep videos.
Add your podcast logo as a layer, drop in the episode title as text, position both anywhere. They stay rock-steady while the visualizer dances around them.
No 5-minute trial cap. Export the full episode — 30 minutes, 2 hours, doesn't matter. The studio handles long files cleanly.
16:9 for YouTube. 9:16 for Reels / Shorts. 1:1 for Instagram feed. 4:5 for portrait. Pick before exporting and the layout adapts.
Every color, gradient, and accent is configurable. Save a template once, reuse it for every episode going forward.
Export runs locally via WebCodecs — no upload, no waiting in a queue, no per-minute charge.
No signup. The studio loads with a placeholder scene so you can see what's possible right away.
MP3, WAV, or M4A — drag from your file manager onto the canvas. Shimga decodes it and starts visualizing the audio.
Add your cover art, episode title, guest names. Move them around the canvas. Tweak the visualizer colors to match your podcast.
Pick the right aspect ratio, hit Export, get an MP4 with audio baked in. Upload directly to YouTube, Spotify, or socials.
Yes — there's no length limit in the studio. A 2-hour episode exports just fine; export time scales roughly linearly with audio length, but it all runs locally so there's no upload wait or queue.
Yes. Add an image layer for cover art, a text layer for the title. Both are positionable and resizable, and stay static while the visualizer layers react around them.
16:9 (YouTube), 9:16 (Shorts/Reels/TikTok), 1:1 (Instagram feed), 4:5 (Instagram portrait). Switch ratios before exporting and the layout adapts to fit.
Yes. The FFT analysis treats voice the same as music — high frequencies map to consonants, mids to vowels, lows to bassy speech. Subtle waveform or bar styles look great with conversation; we'd skip the aggressive bass-drop layers for podcasts.
Yes — save your styled scene as a template (free with an account). Next episode, just load the template, swap in the new audio + title, and re-export. The visual identity stays consistent across your whole feed.
No. Shimga is a pure web app — no download. If you've been using OBS or Premiere just to add a visualizer to your podcast audio, this replaces that workflow with about 90 seconds of clicking.
Free, no signup, no watermark on the free tier. Open the studio and ship the first one in 5 minutes.
Open the Studio →