We’re big fans of NotebookLM around here, so much so that it received our Editor’s Choice Award. But it’s not the only AI tool out there that can synthesize your data to better understand it. In fact, there are a lot of options out there, it’s just that none are quite as approachable as NotebookLM.
Maybe you need a more specific type of output, or just don’t want Google handling your data. Not all of the following tools have nifty features like the Audio or Video Overviews that helped give NotebookLM its reputation today. Instead, they may offer a more tailored set of capabilities, whether you’re a student, an analyst or someone who simply prefers more privacy.
Below, we’ll detail a few other AI learning tools that have similar features but might be better suited for you depending on what you’re trying to do, your profession or your workflow.
Atlas.org launched in 2024, and its team consists of current students, recent graduates and former educators. Its sole purpose is to help you with your schoolwork, and it’s organized as such.
When you first sign up and log in, you’ll be presented with a series of options, each tailored to the learning experience. The three primary sections are for studying, homework and taking notes, and each of those subsections has different options to dig in deeper.
For studying, you can create a study guide, a quiz or flash cards. You can automatically create lecture notes from recorded audio or help get detailed answers to questions on your homework.
The information you upload to Atlas.org is retained forever, so you’ll have a continuously growing knowledge base about your schoolwork, and you can create dedicated spaces for different topics. Like NotebookLM, it also has a mobile app for iOS and Android that allows you to learn on the go.
Atlas is free to try out, but the free tier comes with some fairly steep limits. You can upgrade to the Pro version for $18 per month.
Yes, another tool with Atlas in its name, but Atlas Workspace is pretty specific with its functions. It specializes in knowledge and semantic mapping and is aimed towards scientists and research analysts. It essentially allows you to create a full knowledge base on its servers and map out exactly what you want to see when you want to see it. The more sources you upload, the more you’ll get out of it, and since it’s a collective database of your sources, you don’t need to remember where you saved a specific piece of information. This is in contrast to NotebookLM’s Notebooks, where the sources remain isolated as individual projects.
When you upload a source such as a PDF, Atlas Workspace will automatically begin building a knowledge map, breaking down the core components of your source — and you can start asking specific questions from there. You can also view a semantic map to get a more visual representation of your sources and how you’ve interacted with the tool.
Atlas isn’t going to be for everyone, and that’s because not everyone needs this type of tool. To get the most out of it, you’ll need to spend a lot of time working with it, and there’s a fairly steep learning curve to it. However, the Atlas Workspace blog has several in-depth comparisons between its competitors that might be helpful for people still on the fence.
The free version of Atlas Workspace allows for 10 total sources and five lifetime AI chats, but you’ll have access to unlimited projects, which are similar to NotebookLM’s Notebooks, but Projects can connect concepts across projects, keeping up with the compounding knowledge aspect. If you opt for the $20 per month Pro plan, your source count gets boosted to 1,000 and you’ll have unlimited AI chats.
OpenNotebook
We’ve covered OpenNotebook in depth before, and it’s fairly close to a lot of the functionality NotebookLM carries with it. However, you’ll need to know what you’re doing to set it up, which can feel incredibly involved if you don’t consider yourself a “tech” person. However, once it’s set up, there’s a lot it can do.
As you’d expect, you can upload your sources to OpenNotebook and chat with AI about it, but what makes this tool special is that you can pretty much choose whatever AI model you want. This will require more work and, depending on the model, may require a paid API key. You can even use a local LLM if you so choose.
Something standout about OpenNotebook is that it’s very privacy-friendly. Your data stays with you, and you decide what you share. OpenNotebook is also free and open-source.
