Overview
YouTube AI Summarizer is an AI-powered YouTube video summarization application built with Streamlit, OpenAI Whisper, Google Gemini, yt-dlp, and FFmpeg. It accepts a supported YouTube video URL and automatically downloads the video's audio with yt-dlp, processes the audio with FFmpeg, and transcribes it using OpenAI Whisper. The project currently uses the Whisper base model. The generated transcript is sent to the Google Gemini API, which produces a structured response containing a summary, key points, technical concepts, and a detailed explanation. The application displays the original video, the AI summary, and the complete Whisper transcript in a Streamlit interface. Users can download the transcript as transcript.txt and the summary as summary.md. The project is configured for deployment on Streamlit Community Cloud and requires Python 3.10+, FFmpeg, an internet connection, and a Google Gemini API key.
Pricing
Free
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Use Cases
- Students use the application to quickly summarize long educational lectures.
- Developers use the application to extract technical concepts from programming tutorials.
- Researchers use the application to quickly understand long informational videos.
- Professionals use the application to extract important information from webinars and presentations.
- Content creators use the application to analyze video content and generate notes.
- Online learners use the application to convert lengthy video lessons into structured study material.
Features
Transcribe YouTube videos with Whisper
Summarize videos using Google Gemini
Extract key points from videos
Identify technical concepts in videos
Generate detailed video explanations
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