import whisper from moviepy.editor import VideoFileClip video = VideoFileClip("COGY114.mov") audio = video.audio audio.write_audiofile("COGY114_audio.wav") Transcribe model = whisper.load_model("base") result = model.transcribe("COGY114_audio.wav") print("Transcript:", result["text"]) Generate summary (using a simple LLM call) Could output a text file: COGY114_summary.txt
However, here are several you could apply to COGY114.mov , ranging from simple utilities to AI-powered tools. 1. AI-Powered Video Summary & Transcription (Most Useful) Feature: Automatically transcribe speech and generate a text summary or title from the video's content.
# Metadata ffprobe -v quiet -print_format json -show_format -show_streams COGY114.mov ffmpeg -i COGY114.mov -filter:v "select='gt(scene,0.3)',metadata=print" -f null -
import whisper from moviepy.editor import VideoFileClip video = VideoFileClip("COGY114.mov") audio = video.audio audio.write_audiofile("COGY114_audio.wav") Transcribe model = whisper.load_model("base") result = model.transcribe("COGY114_audio.wav") print("Transcript:", result["text"]) Generate summary (using a simple LLM call) Could output a text file: COGY114_summary.txt
However, here are several you could apply to COGY114.mov , ranging from simple utilities to AI-powered tools. 1. AI-Powered Video Summary & Transcription (Most Useful) Feature: Automatically transcribe speech and generate a text summary or title from the video's content.
# Metadata ffprobe -v quiet -print_format json -show_format -show_streams COGY114.mov ffmpeg -i COGY114.mov -filter:v "select='gt(scene,0.3)',metadata=print" -f null -
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