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Jaydeep Solanki edited this page Jan 31, 2026
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yt-study is an advanced CLI tool that transforms YouTube videos into high-quality, structured study notes using Large Language Models (LLMs).
- Installation Guide: Setup instructions for pip, uv, and source.
- Quick Start: Generate your first set of notes in minutes.
- Configuration Guide: Setup API keys, default models, and concurrency settings.
- Supported Models: Choose between Gemini, GPT-4, Claude, and others.
- CLI Reference: Comprehensive guide to commands and flags.
- Batch Processing: How to process playlists and lists of URLs.
- Troubleshooting & FAQ: Solutions for common errors (IP blocks, missing transcripts).
- Architecture: Deep dive into the orchestrator, providers, and data flow.
Video tutorials are great, but they are linear and hard to search. yt-study solves this by:
- Extracting Knowledge: Converting audio transcripts into text.
- Structuring Content: Using LLMs to organize information into headers, bullet points, and code blocks.
- Preserving Context: Handling long videos via recursive chunking so no detail is lost.
- Breaking Down Barriers: Translating foreign language content into English notes automatically.