video-audio-processor

To transcribe a Zoom meeting recording, provide the path to the video or audio file. The Skill uses Whisper to generate accurate text transcripts and ffmpeg to extract visual frames for contextual analysis.

Yes, you can extract video frames across macOS, Linux, and Windows. The Skill uses ffmpeg for frame extraction and auto-detects hardware to select the optimal Whisper transcription model for your system.

Yes, Whisper auto-detects hardware to choose the optimal transcription engine and model. This dynamic model selection ensures efficient audio transcription across macOS, Linux, and Windows environments.

To extract visual frames from a lecture video, provide the file path. The Skill processes the video using ffmpeg to extract frames for contextual analysis while simultaneously transcribing the audio with Whisper.

The best way to transcribe audio and extract frames from screen-sharing demos is providing the recording path. The Skill orchestrates Whisper for text transcripts and ffmpeg for visual frame extraction across platforms.

Ffmpeg is required for the frame extraction process. The Skill uses it to extract visual frames for contextual analysis from your video recordings, while Whisper handles the audio transcription.