Chapter-level summaries of bestselling books using LLMs
Most book summaries on the internet are not detailed enough. In this project, I've tried to create detailed chapter-level summaries that retain a greater level of detail and vocabulary of the original. The aspiration is for these summaries to be a credible alternative to reading the books themselves. Website hosted on Vercel: https://book-summary-pro.vercel.app/ The code behind the project on GitHub: https://github.com/cosmic-glitch/book-summarizer Request additional books:…
What it does
In the maker’s words, at launch
Most book summaries on the internet are not detailed enough. In this project, I've tried to create detailed chapter-level summaries that retain a greater level of detail and vocabulary of the original. The aspiration is for these summaries to be a credible alternative to reading the books themselves. Website hosted on Vercel: https://book-summary-pro.vercel.app/ The code behind the project on GitHub: https://github.com/cosmic-glitch/book-summarizer Request additional books: https://airtable.com/app6WDAa4A09cHXRJ/pag8W3YsvnnXCu4Q5/for...
Does the same job
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- TAThrow a Whole Book into an LLM to Extract Characters and Relationships2025 · github.com · ▲9
Let's try a small experiment with LLMs that have a large context length: feed an entire book into the context window and ask it to generate a list of characters, their relationships, and physical descriptions—data that can later be used for image generation. In this repository, you can find two tools: a script that extracts data from book text using an LLM (Gemini or OpenRouter API) and an HTML/JS (D3) visualization of the character graph. An external text-to-image model can be used to generate character illustrations (a Google Colab example is provided). Explore the visualizations,…
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