clip-hand-skill

To automate video clipping end-to-end, you provide a video URL and the system downloads it via yt-dlp, transcribes audio with Whisper or Groq OpenAI APIs, segments it into 3-5 clips, generates SRT captions, and crops footage to 9:16 using ffmpeg.

The best way to convert a 60-minute video into short vertical clips is using an automated workflow that handles downloading, Whisper transcription, segment selection, SRT caption generation, and 9:16 cropping to produce 3-5 ready-to-publish clips.

Yes, you need yt-dlp and ffmpeg installed. yt-dlp handles video downloading, Whisper or Groq APIs manage transcription, and ffmpeg performs the 9:16 cropping and video processing required to produce final captioned clips.

Yes, you can use Whisper transcription to automatically generate SRT captions for Instagram Reels. The transcription output pairs with ffmpeg processing to embed captions and crop footage into the vertical 9:16 format required for Reels.

Automated video clipping handles errors during transcription and downloading by providing robust guidance on workflow orchestration. This ensures yt-dlp download failures or Whisper API issues are managed without interrupting the end-to-end clip generation process.