A Python tool for finding matching segments in video transcripts using semantic similarity txt file only and a script txt file

• Supports WebVTT (.vtt) and custom timestamped text (.txt) formats
• Uses paraphrase-mpnet-base-v2 sentence transformer for accurate semantic matching
• Finds top matching segments across multiple transcript files
• Handles large transcripts efficiently

1. Clone repository:

git clone https://github.com/yourusername/TranscriptMatcher.git
cd TranscriptMatcher

pip install sentence-transformers
pip install webvtt-py
pip install torch

Transcript Formats WebVTT (.vtt): Standard subtitle format

text
<00:01:23.456> This is a sample transcript
<00:01:45.789> With custom timestamps

=== Top Matches ===

1. video1
   00:05:10 → 00:05:15  (score: 0.8723)
   "This is the matching segment text"
...