Best NotebookLM alternatives for readers (2026)

NotebookLM, Google's research notebook, changed what many people expect from AI. You upload sources such as PDFs, documents, web pages or pasted text, and it answers questions using only those sources, with citations that point back to the exact passage. Its audio overviews turn a stack of documents into a conversation you can listen to. At the time of writing it is free to use with a Google account.

Readers run into its limits quickly, though. It needs documents you can upload, and a paper book on your nightstand is not one. It needs a Google account. It is organized around notebooks of sources, not around a personal library of the books you have read, and it does not bring your ideas back on a schedule. Capturing a passage on your phone while you read is not really its workflow.

There is also a difference in what you are asking about. NotebookLM answers from the full text of what you upload. Many readers want something narrower: answers that come from the passages they chose to keep, in the books they have actually read. Here are the alternatives, including the cases where NotebookLM is still the better tool.

NotebookLM alternatives at a glance

ChatGPT Projects: the general-purpose option

Projects in ChatGPT let you group chats, upload files and set custom instructions for a topic. For a reader, that could be a project per book with your typed notes attached. It is flexible and good at explaining, comparing and brainstorming. The trade-off is grounding: unless you ask it to stay within your files, it will happily draw on general knowledge, and it is up to you to keep the project's files current. It works well as a thinking partner once a book is finished; it is less natural as the place you capture notes while reading.

Claude Projects: long context and careful answers

Claude's Projects work in a similar way: you add documents to a project's knowledge and set instructions, then every chat in that project can draw on them. Many people like it for long documents and thoughtful, well-written answers. Like ChatGPT, it is a general assistant, so building and maintaining a reading library inside it is your job. A project per book with your notes pasted in is workable for a handful of books and harder to keep up across dozens.

Perplexity Spaces: when you want the web too

Perplexity is built around cited web answers, and Spaces let you collect threads and add your own files to a topic. That suits readers who want to check a book's claims against current sources or read around a subject. It is less suited to questions that should come only from your own notes, because the web is part of the point.

Readwise: AI over the highlights you already have

If your reading is mostly ebooks and articles, Readwise already holds your highlights, and at the time of writing it offers AI features for asking questions of your highlights and working with documents in its Reader app. The big advantage is that your highlights arrive automatically from digital sources. It is a subscription, and paper books need to be captured by hand.

Elicit: for research papers

Elicit is an AI research assistant for academic literature. It helps you find papers, pull key findings into tables and summarize across studies. If your reading is research papers rather than books, it is closer to what you need than any general notebook. It is not designed for novels, memoirs or the popular nonfiction most people read for pleasure.

GleanNote: AI that answers from your book notes

GleanNote comes at the problem from the reader's side. Instead of uploading documents, you build a library of books, chapters and notes as you read: photograph a page and select the passage for on-device text recognition, or type and paste a highlight with your own comment. That works the same for a paper book, a library book or an ebook.

Talk to your Book, on Premium, lets you chat about one book using only the notes you captured from it as context, so answers reflect what you actually marked rather than a general summary. Ask your library, on AI Max, works across all your books. AI requests run through GleanNote's server; there is no on-device model and the app never holds an AI key. Free readers get 3 AI questions to try it, and AI Max is marketed as “Unlimited*” with “*Fair use applies”.

Two things NotebookLM does not do come with it: the free Daily Digest brings a few of your notes back each day, and flashcards built from your notes help with the ideas worth recalling. What it is not: a tool for long PDFs or research documents. If you need answers from a 300-page report, NotebookLM or a document-chat tool will serve you better.

Humata, ChatPDF and other document chat tools

A whole category of tools does one thing: you upload a PDF and ask it questions. Humata and ChatPDF are well-known examples. They are quick for a one-off question about a manual, a contract or a paper, and they usually point to the page an answer came from. They are not built to hold a library or bring anything back later. Think of them as a quick lookup, useful for the document in front of you today.

Obsidian with AI plugins

If your book notes already live in an Obsidian vault, community plugins can add chat over your notes and suggest related notes as you write, usually with an AI provider key you supply. It is the most customizable route and keeps your files local, but you set up and maintain the pieces yourself. For people who already enjoy tuning their vault, that is part of the appeal; for everyone else, it is one more system to look after.

Pick by use case

• Long PDFs, reports or a stack of research documents: stay with NotebookLM
• Academic papers: Elicit
• A quick question about one PDF: a document chat tool such as Humata or ChatPDF
• Open-ended thinking with some of your own files: ChatGPT or Claude Projects
• Questions that also need current web sources: Perplexity Spaces
• Mostly ebook and article highlights: Readwise
• Paper and digital books, with answers from the notes you took: GleanNote
• Your notes already live in a vault you maintain: Obsidian with AI plugins

Frequently asked questions

Can NotebookLM read a physical book?

Only if you turn it into a document first, by scanning pages or typing passages out. For an ongoing reading habit, capturing notes as you go is usually more practical than digitizing whole books.

Why ground AI answers in my notes instead of the whole book?

Your notes are what you found important. Answers built from them reflect your reading, stay easy to check against the original note, and do not require a copy of the full text. They also make it clear when the AI is working from what you kept rather than from general knowledge about the book.

Is there a free NotebookLM alternative for readers?

NotebookLM itself is free at the time of writing. GleanNote is free to use for capturing notes and the Daily Digest, and includes 3 free AI questions so you can try Talk to your Book.

Does GleanNote work with PDFs?

It is built for notes you capture while reading rather than for uploading documents. For long PDFs, NotebookLM or a document chat tool is the better fit.