Multi-Speaker Detection 9:16 Auto-Crop
Detects who is speaking across two-cam or wide studio shots and smoothly locks the 9:16 frame onto the active speaker.
Quvirl is a dedicated podcast-to-shorts AI clipper designed to instantly convert long-form audio and video podcasts into perfectly framed 9:16 vertical TikToks, Reels, and Shorts using automated active-speaker tracking.
Quvirl detects multi-speaker conversations, automatically cuts out filler words ('um', 'uh', and dead air), and reframes the video to keep the active speaker centered in a 9:16 vertical layoutโturning a two-hour podcast episode into a week of viral shorts in minutes.
Ready to cut your first video? Try the Quvirl AI Video Lab for free.
"Quvirl cuts out every awkward pause and keeps the active speaker centered!"
Powered by enterprise NVIDIA Ada Lovelace GPU acceleration, Faster-Whisper CUDA float16 transcription, and Nex-N2.5-Pro vision framing.
Detects who is speaking across two-cam or wide studio shots and smoothly locks the 9:16 frame onto the active speaker.
Strips out 'ums', 'uhs', stutters, and awkward pauses automatically so every short starts with a tight, high-retention hook.
Generates synchronized, high-contrast animated subtitles with highlighted keywords engineered for silent mobile viewing.
Quvirl AI Video Lab is purpose-built to turn long-form video and audio podcasts into viral 9:16 vertical shorts automatically using multi-speaker detection, filler-word removal, and animated captions.
Yes. Quvirl tracks facial and voice activity frame-by-frame so the camera crop automatically centers whoever is speaking in a 9:16 TikTok, Reels, or YouTube Shorts layout.
Yes. Quvirl uses a lightweight 30-second interactive preview box rather than heavy uncompressed video files, keeping mobile page loads instant.
Every workflow connects directly to the Quvirl AI Video Lab hub.