Open Notebook: The Open-Source NotebookLM Alternative That’s Too Free

Open Notebook is gaining attention as an open-source alternative to Google’s NotebookLM. Its key strength lies in the privacy-focused self-hosted environment that allows the use of any LLM. Featured in a Lifehacker Japan article, it garnered 156 bookmarks on Hatena.

📑Table of Contents

1. What is Open Notebook? Differences from NotebookLM
2. Installation and Setup (Docker Compose)
3. Supported Sources and Model Flexibility
4. Podcast Generation and Custom Prompts
5. Privacy and Local Operation Benefits
6. Practical Use Cases and Limitations
7. Frequently Asked Questions (FAQ)
8. Comparison Table
9. Summary

---

What is Open Notebook? Differences from NotebookLM

Open Notebook is developed as a privacy-first open-source project. It is publicly available on the GitHub repository (lfnovo/open-notebook) with over 27,000 stars. According to the official site (open-notebook.ai), it is designed to overcome the limitations of NotebookLM.

NotebookLM is fixed to the Gemini model and runs on Google Cloud. In contrast, Open Notebook supports arbitrary LLMs such as OpenAI, Anthropic, and Ollama via local setups. It offers full freedom in custom prompts and complete local operation.

From a privacy perspective, NotebookLM sends data to Google, while Open Notebook keeps all data locally in a self-hosted Docker environment. Both offer podcast generation, but Open Notebook allows complete customization of prompts.

Sources: Lifehacker Japan, GitHub, Official Site

---

Installation and Setup (Docker Compose)

Installing Open Notebook is straightforward using Docker Compose. Clone the official GitHub repository and run to start it. Combining it with Ollama enables immediate use of local LLMs.

Setup details are documented in the official repository, allowing verification in just a few minutes. While a server environment is required for self-hosting, Docker’s convenience means minimal specialized knowledge is needed.

Source: GitHub Official Repository

---

Supported Sources and Model Flexibility

Open Notebook supports a wide range of sources including PDFs, web URLs, YouTube, audio, video, and text. It surpasses NotebookLM’s limitations by allowing users to choose any LLM.

It seamlessly integrates not only cloud models from OpenAI and Anthropic but also local models via Ollama. This flexibility enables operation tailored to cost and privacy requirements.

---

Podcast Generation and Custom Prompts

The podcast generation feature is included similarly to NotebookLM, but Open Notebook allows full customization of prompts. Users can adjust tone and content to their preferences.

Custom prompts enable fine-grained control over the quality and style of generated podcasts. It is particularly reassuring when handling sensitive information in a privacy-focused environment.

---

Privacy and Local Operation Benefits

The primary benefit is privacy. Since data is not sent externally, it is suitable for handling confidential documents in corporate or personal settings. Self-hosted Docker provides complete control.

Local operation allows functionality even without an internet connection in some cases, offering advantages in environments with high security requirements. It is also praised for avoiding cloud dependency in terms of cost.

---

Practical Use Cases and Limitations

Use cases include research note creation, podcast production, and summarizing multiple documents. The high star count on GitHub indicates growing adoption in the developer community.

Limitations include the need for a Docker environment for initial setup and performance variations depending on the chosen model. Refer to the official site documentation to select the optimal configuration.

Source: Official Site

---

Frequently Asked Questions (FAQ)

Q: What are the main benefits of Open Notebook?

The main benefits are the privacy-focused self-hosted environment, support for arbitrary LLMs, and freedom in custom prompts. It overcomes the limitations of NotebookLM.

Q: What is required for installation?

Docker and Docker Compose are required. Installing Ollama additionally allows use of local LLMs. Clone from the GitHub repository and start it up.

Q: Comparison with NotebookLM

NotebookLM is fixed to Gemini and depends on Google Cloud, whereas Open Notebook offers high model flexibility and complete local operation. Privacy and customizability are superior.

Q: How to use local LLMs?

Install Ollama and specify the Ollama endpoint in Open Notebook settings. Pull the model and start using it.

Q: Podcast quality

High-quality generation is possible through custom prompts. Depending on the prompt, it can achieve flexibility equal to or better than NotebookLM.

Q: What file formats are supported?

It supports a wide range of formats including PDF, web URLs, YouTube, audio, video, and text.

---

Comparison Table

Item	NotebookLM	Open Notebook
Model	Gemini fixed	Any LLM (OpenAI/Anthropic/Ollama)
Hosting	Google Cloud	Self-hosted Docker
Custom Prompts	Limited	Fully free
Privacy	Data sent	Fully local retention
Podcast	Available	Available (customizable)
Source Support	Limited	Diverse formats

Source: Lifehacker Japan article and official GitHub repository (as of June 2026)

---

Related articles:

• 画面操作を“録画”→AIが作業代行 Codexに新機能「Record & Replay」
• 【完全版】AIで誰でもポートフォリオを無料計算できる方法（REITやゴールドもOK!）
• 「AIが自らを作る」と予言した8日後、『Claude Fable 5』は消えた――【生成AIストリーム】

Summary

Open Notebook is a suitable tool for users who prioritize privacy and flexibility as an alternative to NotebookLM. Its easy installation via Docker and support for diverse LLMs enable a wide range of applications. Check the official GitHub and site for details.

As a next step, we recommend preparing a Docker environment and trying it out yourself.

Related new article:

• Essential Prompt Techniques to Unlock Gemini’s Full Potential – This published update adds current operational context for Open Notebook: The Open-Source NotebookLM Alternative That’s Too Free.