AI Podcast Clipper
Drop in a full episode and ClipSonic surfaces the moments worth clipping — each with a hook reason and a viral score — then frames each speaker and burns in captions automatically.
A podcast clipper solves the scrubbing problem: instead of re-listening to a two-hour episode to find the 45 seconds worth posting, you get a ranked shortlist of candidate moments read straight from the transcript. ClipSonic's AI podcast clipper scores each one for hook strength and whether it's a complete thought, so you review suggestions rather than hunt for them.
Podcasts also have a framing problem — one host, two co-hosts, or a video guest each need a different vertical crop. ClipSonic detects who's on screen per shot and frames each speaker independently, including a stacked two-person split for co-hosted episodes. Everything runs locally, which matters for episodes you'd rather not send to a cloud service before they're published.
From full episode to shareable clip
Add the episode
Drop in the raw audio or video, or a downloaded recording — any length.
Transcribe locally
Local Whisper handles long episodes offline with word-level timing, or use Groq / OpenAI if you prefer.
Rank the highlights
Get clip suggestions scored for hook quality and complete thoughts — sort by score or by duration.
Frame each speaker
Single-speaker tracking, or a two-person split-screen that tracks each co-host independently and goes full-frame when only one is talking.
Caption and batch-export
Add animated captions and render every approved clip for the week in one pass.
How long should a podcast clip be?
Most podcast clips that travel are between 30 and 90 seconds — long enough to land a complete idea, short enough to hold attention in a feed. ClipSonic's highlight detection targets self-contained moments in that range and snaps the in and out points to natural silence so a clip never starts or ends mid-word. You can retrim any suggestion before exporting.
Built for spoken-word audio
Two-person split-screen
Stacks co-hosts in the 9:16 frame, tracking each face separately, and cuts to full-frame on a closeup.
Hook-aware scoring
Smart Viral Clips weighs the opening line, dramatic pauses and audio energy — the things that make a podcast clip land.
Local Whisper for long episodes
Transcribe a two-hour episode on your own GPU with no per-minute cloud fee and nothing leaving your machine.
Captions that keep pace
Word-by-word highlighting so a fast exchange between hosts stays readable.
A repeatable weekly process
The same settings every episode — add, rank, frame, export — so clipping scales as the show grows.
One-pass render
Cut, frame and caption together — no repeated re-encodes per clip.
Common questions
How do I turn a podcast into Shorts?
Add the episode to ClipSonic, let it transcribe, and review the ranked clip suggestions. Pick the moments you want, choose single-speaker or split-screen framing, add captions, and export.
Can it clip a two-person podcast?
Yes. The duo split-screen mode tracks each speaker independently and stacks them vertically, switching to full-frame when only one person is on screen.
How does it find the best podcast moments?
It reads the transcript and scores candidate windows — AI Viral Clips uses a language model for a written hook reason, Smart Viral Clips scores six on-device signals with no API key.
How long should a podcast clip be?
Usually 30–90 seconds. ClipSonic aims for complete, self-contained moments in that range and snaps the cuts to silence.
Do I have to listen to the whole episode first?
No — that is the point. You review a ranked shortlist instead of scrubbing.
Does the audio or video get uploaded?
No. With local Whisper and a local model the entire pipeline runs offline; with a cloud AI model only the transcript text is sent.
Related pages
Clip this week's episode
Download ClipSonic free and turn a full episode into a set of captioned, speaker-framed clips without scrubbing.