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metadata
title: YouTube Video Transcriber
emoji: 🎥
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.17.1
app_file: app.py
pinned: false
YouTube Video Transcriber
A Streamlit app that transcribes YouTube videos using Whisper, with optional formatting using a large language model, audio download, and video download.
How it works
- Downloads audio from YouTube videos using
yt-dlp. - Splits audio into speech segments using Silero VAD.
- Transcribes segments in batches using OpenAI's Whisper model.
- Formats the transcription using a large language model (if selected).
- Displays transcribed text with timestamps.
- Provides options to download the raw transcription, formatted transcription, audio, or video.
Requirements
Listed in requirements.txt
Usage
- Install dependencies:
pip install -r requirements.txt - Run the app:
streamlit run app.py - Enter a YouTube video URL.
- Choose options: Transcribe, Download Audio, Download Video, Format Text.
- Select a language or use auto-detect (under "Advanced Settings").
- Click "Process".
Screenshot
License
MIT
