Frequently Asked Questions About PodClips
How does PodClips turn podcasts into videos?
PodClips starts with deep audio analysis—transcribing speech with speaker diarization, detecting emotional highs and rhetorical pivots, and mapping topic clusters. It then selects optimal 15–90 second segments, overlays animated captions synced to voice, layers them with relevant B-rolls (auto-selected or manually chosen), generates attention-grabbing thumbnails using keyframe analysis, and packages everything with platform-optimized metadata—all in one automated, auditable workflow.
How many Shorts do I get per episode?
You’ll receive a minimum of 20 high-potential Shorts per episode—with longer or densely packed episodes often yielding 25–35 clips. These include ultra-short hooks (<25 sec), mid-length highlights (45–75 sec), and extended insights (2–3 min) ideal for YouTube. All are exported in native resolutions, with no compression artifacts or watermarks.
Is there a free plan for podcasters?
PodClips offers a robust free tier for new users—including 3 episode uploads per month and full access to all core features (captions, B-rolls, thumbnails, metadata). Paid plans unlock unlimited processing, batch backlog conversion, custom branding, and priority AI processing—designed so even indie creators achieve ROI within their first week of usage.
Which file types and platforms does PodClips support?
Input: MP3, M4A, WAV, FLAC, and YouTube URLs (public/unlisted only). Output: MP4 files optimized for TikTok, Instagram Reels, YouTube Shorts, YouTube Feed, Facebook, LinkedIn, and X (Twitter), with automatic aspect ratio switching, bitrate tuning, and closed-caption embedding (SRT/VTT included).
Can I personalize captions, colors, and motion effects?
Absolutely. PodClips gives you granular control: adjust font weight, stroke, shadow, animation speed, word-by-word timing, and background opacity. Save presets as “Brand Kits” to apply consistent styling across all future clips—ensuring your visual identity remains cohesive, professional, and platform-native.