{"id":4872,"date":"2026-06-20T15:28:16","date_gmt":"2026-06-20T14:28:16","guid":{"rendered":"https:\/\/gamingtodaynews.site\/index.php\/2026\/06\/20\/love-notebooklm-but-hate-giving-google-your-data-i-found-a-great-open-source\/"},"modified":"2026-06-20T15:28:18","modified_gmt":"2026-06-20T14:28:18","slug":"love-notebooklm-but-hate-giving-google-your-data-i-found-a-great-open-source","status":"publish","type":"post","link":"https:\/\/gamingtodaynews.site\/index.php\/2026\/06\/20\/love-notebooklm-but-hate-giving-google-your-data-i-found-a-great-open-source\/","title":{"rendered":"Love NotebookLM but hate giving Google your data? I found a great open-source\u2026"},"content":{"rendered":"
\n

Love NotebookLM but hate giving Google your data? I found a great open-source\u2026 is attracting attention across the tech world. Analysts, enthusiasts, and industry observers are watching closely to see how this story develops.<\/p>\n

This update adds another signal to a fast-moving sector where product decisions, platform changes, and competition can quickly shape the market.<\/p>\n

Affiliate links on Android Authority may earn us a commission. Learn more.<\/p>\n

I personally love NotebookLM, though it\u2019s far from the only tool I\u2019ve used for summarizing information or extracting research data. It is arguably the very best, though, as pretty much every alternative is closer to a supplement than a true replacement. That said, there is one that gets very close.<\/p>\n

Open Notebook is virtually a clone of NotebookLLM\u2019s core functionality, including stand-out features like audio summaries, the ability to ask questions about your research sources, and so much more. Of course, nothing is perfect, and it isn\u2019t without catches. Below, I\u2019ll dive into what I love about Open Notebook, what is less ideal about it, and how to give it a try for yourself.<\/p>\n

The core features are pretty much the same as NotebookLLM. You upload sources from PDFs to YouTube videos and everything in between, and then it synthesizes this information into audio, quizzes, or you can just chat with it.<\/p>\n

Let\u2019s start with what really sets Open Notebook apart from NotebookLLM: it\u2019s an open-source project you must configure yourself. This comes with some downsides, which we\u2019ll get into a bit later. It also means that your data is truly secure in a way that NotebookLLM isn\u2019t. You even have greater flexibility and customization options than what Google offers.<\/p>\n

You can run Open Notebook locally using a model like Ollama, or connect it to your favorite cloud-based AI models, including GPT, Gemini Pro, Opus, and more. It\u2019s also easy enough to switch between models, so you don\u2019t necessarily have to lock down just one choice here either.<\/p>\n

Even better, there are no limits to how many notebooks you create, as well as how many sources you utilize. Meanwhile, the free version of NotebookLM limits you to 100 notebooks with no more than 50 sources each. That said, using Open Notebook will still burn up token limits if you\u2019re using a cloud-based model, and so that\u2019s worth keeping in mind.<\/p>\n

As much as I like Open Notebook, it\u2019s significant to be upfront about its downsides.<\/p>\n

First, this is not a plug-and-play experience by any stretch of the imagination. While I\u2019m a pretty experienced computer geek with decades of experience, installing Open Notebook manually on a Chromebook was a massive pain, to say the least. It took me two tries and several hours to set it up this way. It was much easier on Windows thanks to the Docker Desktop application, setting up in a half hour or so, but it still required a bit of DIY knowledge and troubleshooting to get it all right.<\/p>\n

\"\"<\/figure>\n

Let\u2019s also talk about its audio summary podcasts. While I appreciate that you can actually have up to four speaking voices instead of just the two-voice option with NotebookLLM, the audio breakdowns are much shorter by default. Instead of the 8-15 minute cap you\u2019ll get with NotebookLM, audio breakdowns are usually closer to just a few minutes.<\/p>\n

You can customize this and increase the length to 30 minutes or more, but even then, I found the podcast\u2019s quality just wasn\u2019t as sharp. I used a few different models, and even then, I felt NotebookLM had slightly stronger breakdowns.<\/p>\n

You\u2019ll also need to have the service running via a core PC or your own cloud setup before you can use it on other devices like Android. Even then, you\u2019ll have to use a web browser as there is no native app.<\/p>\n

Like I said before, installing Open Notebook can be a bit tricky, but the easiest way is to install\u00a0Docker Desktop,\u00a0which lets you run containerized applications directly without needing to use the command-line interface as much.<\/p>\n

Once the program is running, you\u2019ll want to obtain the API key from your chosen provider. The exact process for this will vary.<\/p>\n

While there is an official starting guide for this process, it\u2019s significant to note that it\u2019s actually out of date in several areas. For those planning to install a cloud model, the steps below walk you through the basic initial setup.<\/p>\n

Start by creating a configuration file. You\u2019ll want to open up something like Notepad and paste the following:<\/p>\n

After creating the file, you\u2019ll want to edit change-me-to-a-secret-string and replace it with a phrase of your choice. You\u2019ll then save the file as docker-compose.yml\u00a0under a new folder called Open Notebook.<\/p>\n

Next, you\u2019ll want to run Docker Desktop. After it\u2019s up, open File Explorer and navigate to the Open Notebook folder where you put the configuration file. Right-click anywhere in the window and pick Open in terminal.<\/p>\n

\"\"<\/figure>\n

The Terminal window will open, and you\u2019ll want to enter: docker compose up -d<\/p>\n

After about 15 seconds, the services will start, and you\u2019ll be able to access Open Notebook in your browser by typing in http:\/\/localhost:8502 into the address bar. The Open Notebook UI should open, but you\u2019re not done yet.<\/p>\n

You\u2019ll want to go to Manage > Models,\u00a0find your preferred AI company in the list, and click the\u00a0Add Configuration button. A new box will pop up asking you to enter a name for your configuration and the API Key. After you add both, click the Add Configuration button.<\/p>\n

You\u2019ll notice a Test button next to your new configuration at this time. Click this button to test the connection. You\u2019ll also need to specify what model you wish to use for chat, embedding, and transformations. The last of these options refers to the process used to create reflections, table of contents, audio summaries, and more.<\/p>\n

Once this is all completed, you should be in business. You can then go to the New tab and create a new Notebook. From there, it\u2019s just a matter of adding sources and testing out all of its Transformation capabilities. That said, you\u2019ll still need to configure your Podcasts settings and a few other things. For brevity, I won\u2019t go into all these details, but you can find more in the Open Notebook start guide.<\/p>\n

So, is Open Notebook better than NotebookLM? Honestly, the answer depends on your needs and how much you\u2019re willing to play with settings to customize it to your liking. Open Notebook could certainly be worth the effort for those who love the idea of NotebookLM but don\u2019t like their data sitting on a Google server. The same goes for those who like the tool but prefer a model that isn\u2019t based around Gemini tech innovation.<\/p>\n

For everyone else, NotebookLM remains a slightly better performer that\u2019s easy to get started with and can be made even better with a NotebookLM Pro or Plus upgrade. But if you don\u2019t mind some tinkering, Open Notebook is absolutely worth a shot.<\/p>\n

Thank you for being part of our community. Read our\u00a0Comment Policy before posting.<\/p>\n

Why This Matters<\/h2>\n

This development may influence user expectations, future product strategy, and the competitive balance inside the broader technology industry.<\/p>\n

Companies in adjacent segments often react quickly to similar moves, which is why stories like this tend to matter beyond a single announcement.<\/p>\n

Looking Ahead<\/h2>\n

The full impact will become clearer over time, but the story already highlights how quickly the modern tech landscape can evolve.<\/p>\n

Observers will continue tracking the next steps and how they affect products, users, and the wider market.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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