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Open-Notebook

Combines AI summarization, podcast generation, and multi-format content ingestion for researchers and students who want to keep their data private.

Open Source Alternative to:

Screenshot of Open-Notebook website

Open Notebook is an AI-assisted note-taking and research platform built for people who want genuine control over their data and their tools. Unlike cloud-first Obsidian alternatives or proprietary tools like NotebookLM, it lets you choose which AI models interact with your content and exactly what those models can see.

It's aimed at researchers, students, and self-directed learners who accumulate more material than they can process. If you have hundreds of saved links and PDFs you'll never get to, Open Notebook is designed to help you actually use that backlog.

Key capabilities:

  • Podcast generator: Converts your notes into audio episodes with configurable voices, speakers, and structure. Useful for reviewing material while away from a screen.
  • AI-powered notes: Summarizes content, surfaces insights, and helps you build on existing notes without replacing your own thinking.
  • Privacy controls: You decide which information the AI can access. Nothing is exposed by default.
  • Multi-format ingestion: Accepts links, PDFs, plain text, PowerPoint files, and YouTube videos, so you're not limited to a single content type.
  • Model flexibility: You're not locked into one AI provider. Choose the models that fit your workflow and comfort level.

What sets it apart from tools like Logseq or Joplin is the combination of structured AI assistance with explicit privacy boundaries. Most AI note tools either expose everything to a third-party model or offer no AI at all. Open Notebook sits in between: AI-assisted, but on your terms.

It's released under the MIT License, making it fully self-hostable and auditable.

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