AI Book Summary: Read 10 Books a Month with Open-Source Tools

An AI book summary generator: convert books to text with MinerU, summarize with a local LLM, and keep a searchable personal library.

💡 What You Will Learn

An AI book summary generator: convert books to text with MinerU, summarize with a local LLM, and keep a searchable personal library.

You will never read every book you buy - but you can extract their ideas with an AI book summary pipeline and build a searchable library of insights.

The Pipeline

Step 1: MinerU (77,061 stars) converts PDF books to clean markdown - tables and structure preserved. Step 2: a local LLM via Ollama (177,874 stars) generates a structured summary: thesis, key arguments, evidence, quotable lines. Step 3: store summaries as markdown files with metadata; search them with anything (even grep). Nougat (10,057 stars) handles academic papers with math.

How to Use It Well

Summaries are maps, not replacements: read the summary first, then dive into the chapters that matter. Keep your own notes alongside - the AI summary is the scaffold, your annotations are the learning. Legal and copyright note: summarize your own purchased books; do not redistribute full text.

FAQ

Q: Does it work with audiobooks?
A: Yes - transcribe with Whisper (106,813 stars) first, then summarize the transcript the same way.

Q: How accurate are the summaries?
A: Good for the main thesis and structure; weak on nuance and sub-arguments - which is exactly why you keep the book.