YouTube Summarizer

Cut through hours of content in seconds.

What It Does

The XBR YouTube Summarizer extracts transcripts from YouTube videos and uses AI to generate comprehensive summaries including:

• Context & Speaker — Who's talking and their background
• Main Thesis — The central argument or idea
• Detailed Analysis — Key data points, prices, predictions
• Assets Mentioned — Specific investments discussed
• Risks & Warnings — What could go wrong
• Action Items — What the speaker recommends
• Critical Opinion — Strengths, weaknesses, biases

Why We Built It

Financial YouTube is full of valuable content — but also hours of filler. We wanted a way to:

• Quickly evaluate if a video is worth watching
• Extract key data points without sitting through an hour
• Keep searchable records of important analysis
• Identify potential biases and blind spots

How To Use It

The tool is currently available as a command-line application.

Requirements

• Python 3.9+
• Anthropic API key

Installation

git clone https://github.com/XBRTom/xbr-origin-summarizer
cd xbr-origin-summarizer
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
# Add your API key to .env

Usage

# Summarize a video
python summarizer.py https://youtube.com/watch?v=xxxxx

# List all summaries
python summarizer.py --list

# Search summaries
python summarizer.py --search "silver"

# View a summary
python summarizer.py --show 1

Coming Soon

• Web interface
• Saved summary library
• Multi-video comparison
• Transcript export

Tool is in active development. Feedback welcome.