video-edit

You can remove silence from talking-head videos automatically using neural VAD via Silero or FFmpeg-based methods. This eliminates dead air from raw Screen Studio or DaVinci recordings before applying audio mastering and transcription.

Yes, you can auto-generate YouTube chapters and descriptions from transcriptions. The workflow uses Whisper or faster-whisper to transcribe audio, then automatically creates structured metadata for your YouTube upload.

Yes, you need an Auphonic account for audio mastering and upload support within this workflow. You also need Silero VAD and Whisper to handle silence removal and transcription.

The best way to add LUT-based color grading and swivel teasers to raw recordings is through an automated editing workflow. This enhances branding and engagement before uploading to YouTube.

Faster-whisper handles transcription while FFmpeg manages silence removal. They function together within an end-to-end pipeline to process audio and generate metadata for talking-head content.

You should avoid neural VAD for silence removal when working outside talking-head content or when FFmpeg-based methods are sufficient. Neural VAD via Silero is optimized for raw Screen Studio or DaVinci recordings.