Drop in a podcast clip or track. Pick a reactive waveform visualizer. Add auto-captions powered by in-browser Whisper AI. Export MP4 for Instagram, TikTok, YouTube. No signup, no watermark, no upload — your audio never leaves your device.
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Maker
📌
Every audiogram tool I tried had the same deal: upload your audio to their servers, wait for cloud processing, get a watermarked video, then pay $10-25/month to remove the watermark. For a 30-second podcast clip. That felt broken.
So I built WavSnap — an audiogram and music visualizer maker that runs entirely in your browser. Your files never touch a server. There's no account, no watermark, and no limit. The whole rendering pipeline (FFmpeg, Whisper AI transcription, FFT waveform analysis) runs client-side via WebAssembly.
What you can do:
→ Drop any audio file (MP3, WAV, FLAC, M4A, OGG)
→ Choose a reactive visualizer — bars, wave, circular, spectrum
→ Add a background image, title, branding
→ Auto-generate captions with Whisper AI — no cloud API, runs on your device
→ Pick aspect ratio — 16:9, 1:1, 9:16 for each platform
→ Export MP4, no watermark, no signup
The privacy angle matters. Podcasters put unreleased episodes through audiogram tools — that audio shouldn't sit on someone else's server. Musicians put unreleased tracks through visualizers — same problem. WavSnap keeps everything local.
Built with React, FFmpeg.wasm, Web Workers, and Whisper WASM. Feedback and feature requests very welcome.