video-copy-analyzer

To extract and analyze video copywriting, you can download videos from platforms like YouTube or Bilibili, extract subtitles through embedded streams, OCR, or ASR using FunASR and Whisper, and then run AI-driven analysis on the transcript to evaluate hooks and calls-to-action.

The best way to analyze a viral video script is by using a three-dimensional AI framework covering TextContent, Viral-Abstract-Script, and Brainstorming to break down the video's hook, emotional appeal, and overall copywriting strategy.

Yes, you need yt-dlp and ffmpeg to download online videos for AI subtitle extraction. You also require funasr, rapidocr-onnxruntime, and potentially openai-whisper for comprehensive subtitle extraction and text analysis functionality.

Yes, you can extract subtitles from burned-in video text using OCR. The process utilizes rapidocr-onnxruntime for recognizing embedded text when standard embedded subtitle streams or ASR methods are unavailable for video analysis.

FunASR works alongside openai-whisper for transcribing video audio into text. They serve as advanced ASR options to generate accurate transcripts when embedded subtitle streams are missing from the downloaded video file.

Limitations when analyzing video scripts include dependency on external tools like yt-dlp and ffmpeg for downloading, and varied accuracy in subtitle extraction depending on audio quality, platform restrictions, and burned-in text clarity.