Say goodbye to manual timeline slicing. VoiceLayer's AI Auto-Editor detects silent gaps, filler pauses, and ums/ahs in your talking-head videos and podcasts — stripping them away to supercharge viewer retention.
Cut Silences AutomaticallySave 80% of your video editing time and deliver snappy, engaging content.
Acoustic volume detection pinpoints genuine vocal activity and distinguishes real speech from background room tone and mic hiss.
Configurable lead-in and lead-out margins preserve natural breath sounds and trailing consonant endings without abrupt audio clipping.
Convert slow, rambling 15-minute explanations into razor-sharp 8-minute masterclasses that keep audience drop-off rates near zero.
Select pre-calibrated presets for subtle podcast polish, moderate talking-head pacing, or aggressive short-form jump cuts.
Get instant feedback on exact minutes cut, percentage duration reduction, and dead-air intervals removed from your timeline.
Jump-cut edits seamlessly feed into VoiceLayer's animated caption generator for an all-in-one final export.
Clean your entire timeline in three effortless steps.
Drop your MP4/MOV raw recording or provide a direct video URL.
Choose your sensitivity dB level and padding margin buffer.
VoiceLayer renders a seamless jump-cut video hosted on high-speed CDN ready for download or caption styling.
Acoustic detection parameters and processing benchmarks.
| Feature | Value / Benchmark |
|---|---|
| Silence Sensitivity Threshold | -30 dB to -60 dB (Default: -40 dB) |
| Min Silence Duration Trigger | 0.2s to 2.0s (Default: 0.4s) |
| Margin Safety Padding | 0.05s to 0.5s per speech boundary |
| Average Duration Reduction | 20% – 45% runtime compression without speed warping |
| Processing Speed | Up to 10x faster than real-time rendering |
| API Endpoint | `POST /api/ai-auto-editor` |
No. VoiceLayer never alters the playback pitch or speed of your voice. It only removes silent gaps between spoken phrases, preserving 100% natural vocal tone.
Yes. The Auto-Editor interface displays the calculated cuts and let you preview how the edited timeline sounds and looks before rendering.
Yes. Developers can send video URLs to `POST /api/ai-auto-editor` with custom sensitivity parameters to integrate automated jump-cutting into automated video processing pipelines.