video-use

Edit video footage using conversational AI by dropping raw clips into a folder and describing changes in plain English. The pipeline automatically transcribes audio, cuts filler words, applies color grading, burns subtitles, and outputs a polished final.mp4 file.

Yes, ffmpeg processes the video and audio streams while ElevenLabs Scribe API provides word-level transcription. The pipeline automatically burns customizable subtitles into the final video output without manual timeline editing.

Remove filler words and dead space automatically by leveraging word-level timestamps from the ElevenLabs Scribe transcription. The pipeline detects pauses and filler terms, cutting them out and re-rendering the footage seamlessly.

Yes, Python dependencies including librosa, numpy, matplotlib, and pillow are required to generate animation overlays. The pipeline uses these libraries alongside ffmpeg to process streams and render visual effects in parallel.

Self-verifying video editing runs an evaluation loop at every cut boundary to detect visual jumps, audio pops, and subtitle issues. If errors are found, it re-renders the footage up to three times to ensure quality.

Yes, apply color grading and generate animation overlays for talking head videos through conversational prompts. The pipeline handles technical implementation automatically, rendering visual effects via PIL, Manim, or Remotion without manual intervention.