Inventory of AI reading and note-taking tools, 6 actual test recommendations for sorting out the entire book in 2026 with just one click

AI reading and note-taking tools inventory, 6 actual test recommendations for sorting out the entire book in 2026 with just one click

The core problem of slow reading is not reading speed, but digestion speed. Reading a 300-page book is just the beginning. Precipitating the core arguments, key cases, and executable conclusions into your own knowledge often takes more time than finishing the book itself. This is a pain point that people who have taken reading notes in the past are well aware of. If you don't do it well, the difference in personal growth between reading thirty books a year and reading three books is not as big as imagined.

AI reading and note-taking tools will enter a new stage at the end of 2025. From its earliest days, it could only produce simple summaries, but now it can deconstruct arguments by chapter, automatically extract golden sentences, generate mind maps, and make cross-book comparisons. The workflow has been compressed and can be completed in a few minutes. This article counts six tools worth trying in 2026, covering different entrances such as paper book OCR, e-book direct feeding, and audio book transcribing notes.

What exactly are you doing with reading notes?

Many people's imagination of reading notes is limited to "extracting good sentences". In fact, this is only the most superficial version. A reading note that you can understand two months later must contain at least four things. The first is the structured sorting out of the core arguments. What problems the author wants to solve in this book and what logic he uses to solve them should be clearly stated in three or five sentences. The second is an index of key cases and data to facilitate your review when writing or discussing in the future.

The third is a selection of golden sentences and paragraphs, not just copying them if they are interesting, but paragraphs that can really affect the way you think. The fourth is the personal reaction area, which includes your questions, refutations, associations, and ideas that can be used in projects. It takes two hours to do these four things manually, and AI tools can reduce it to 20 minutes, but the premise is that you know how to cooperate with the tool at each step.

NotebookLM，Google 出品的免费工具

NotebookLM is a free AI note-taking tool launched by Google. It is particularly good at feeding long documents for structured analysis. After uploading a PDF of the entire e-book, it can automatically generate chapter outlines, extract key concepts, answer your specific questions about the content of the book, and even generate a conversational podcast version of two AI podcasts.

The biggest advantage is that its answers are strictly based on the documents you upload, and no external knowledge is introduced, so there is no fabrication. This is very critical for reading notes, because many AI tools like to play freely and mix in information you don’t want. NotebookLM is suitable for feeding a book for in-depth reading and outputting a complete note skeleton.

WeChat Reading AI Assistant

The built-in AI assistant in WeChat Reading is one of the most convenient tools to use in the Chinese scene. There is no need to upload. You can underline, leave comments, and ask questions while reading the e-book, and the AI ​​assistant will provide explanations, expansions, and associations based on the current paragraph. This "asking while reading" mode is more efficient than taking notes after reading, because thinking happens in real time.

It also has a useful function, which is to generate core summaries and selected quotes by chapters. After reading a book, you can directly enter "My Notes". All underlines, comments, and AI-generated summaries are concentrated on one page, which can be exported to PDF or Markdown with one click. For users who have been reading on WeChat for a long time, this is the lowest friction solution.

Get AI, knowledge service route

Get AI applies the idea of ​​paid knowledge courses to reading notes. In addition to the basic summary function, it will generate application suggestions for "how to apply the ideas of this book to your work" and an extended reading path for "what other related books the author recommends". This idea of ​​putting a single book into a knowledge system is suitable for readers who want to build professional capabilities.

The databases that obtain AI mainly include Chinese social science, management, and business books, with literature and novels generally covered. For people who read management books such as "Principles", "Long-termism" and "The Practice of Management", the generated notes often have a more structured and practical feel than general-purpose AI.

Notion AI plus Mem, long-term precipitation route

Notion AI combined with Mem, a knowledge management tool, is the best way to accumulate reading notes for a long time. Notion AI helps you structure the notes in each book into a template. Mem uses AI to automatically discover the connections between your notes, reminding you that a certain point in this book contrasts with another book you read half a year ago.

This route is suitable for heavy readers who read more than thirty books a year. The initial investment is more than a single tool, but after a year, your notes will change from isolated documents to a "personal knowledge graph" with internal links. When searching for a certain concept, you can see all your thoughts in the past six months. For readers engaged in writing, research, and consulting, this long-term asset has the greatest value.

Feishu Miaoji plus documents, dedicated to conference reading clubs

If you often participate in book clubs or study in groups, the combination of Feishu Miaoji and Feishu documents is very practical. For book club recordings, you can use Miaoji to automatically transcribe the text, and then use the AI ​​summary function to generate meeting notes and quotes from the speaker. This paragraph is usually discarded in face-to-face reading discussions, but Feishu keeps it.

The transcribed content is automatically synchronized to Feishu documents, and team members can collaborate to make comments. The AI ​​assistant generates summaries according to instructions, extracts action items, and pushes them to relevant people. The entire process is closed-loop in Feishu, which is suitable for internal study groups and industry reading groups within the company.

Cooperate with browser extensions to precipitate conversations

Many AI reading and note-taking processes are completed in chat tools such as ChatGPT, Claude, and Gemini. Read a chapter and ask the AI ​​a few questions, let it explain, let it expand. These conversations themselves are very valuable "secondary interactions with books", but by default they are scattered in the conversation history of various companies and cannot be found.

In this scenario, Save AI This Chrome extension is worth a try. It supports one-click export of conversations from more than a dozen AI sites such as ChatGPT, Claude, and Gemini to PDF, Word, Markdown, or long images, which can be saved locally and used offline. After reading a book, export all the discussions with AI at once and put them into the reading note library of Notion or Obsidian. You will find that these conversations can better reflect your thinking state at the time than a simple summary, and they will be of great value when you look back half a year later.

Selection suggestions and matching methods

Heavy users of Chinese e-books recommend the WeChat reading AI assistant as the best zero-friction experience. If you need to read a book deeply and intensively, choose NotebookLM, which has the strongest structural analysis ability. Read the professional books on economics and management to get AI, and the most practical suggestions for implementation. For long-term knowledge base building, choose Notion AI plus Mem, which has the highest asset accumulation value.

In actual operation, you can mix and match like this: during the reading process, use WeChat Reading or Kindle Underline for instant reaction, after reading, use NotebookLM to feed the entire book to generate structured notes, use ChatGPT with Save AI to export the conversation discussion, and finally summarize it into Notion to form long-term assets. This set of links can allow a person to read a book in a week and produce a complete set of notes, which is at least three times faster than doing it manually.

FAQ

Will AI-generated reading notes make people lazy?

It will feel like this in the short term, but it depends on how you use it in the long term. If you just let AI write notes without reading them, it will indeed degrade over time. But if you regard the output of AI as a "reference point" and compare it with your own understanding to find out where AI misses and where you disagree with it, it will be a kind of active learning. The key is to retain that last step of independent thinking and not outsource note-taking entirely to tools.

Are there any differences between the tools for taking notes when reading e-books and paper books?

have. Because e-books are digital texts, they can be directly fed into NotebookLM, ChatGPT, etc. for whole-book analysis, which is highly efficient. For paper books, you need to first use the mobile phone camera to OCR into text, or take photos of key paragraphs while reading and then convert them into text. If you read a lot of paper books, it is recommended to buy a pen with a scanning function (such as a Youdao cloud pen, etc.) to draw lines and upload them instantly.

Which tool has the best Chinese support in Chinese scenarios?

WeChat Reading AI Assistant and Get AI are specially optimized for Chinese scenes and have the most natural effects. In General AI, the Chinese summary quality of ChatGPT and Claude is both good, and DeepSeek and Kimi have advantages in long document processing. Specifically, when it comes to what kind of books to read, for literary novels, choose WeChat Reading, for economics and management professions, and for academic majors, choose NotebookLM to increase the model combination.

Do reading notes need to be reviewed every day?

unnecessary. More important than daily review is the establishment of an "on-demand retrieval" index. When you write articles, work on projects, or discuss with people, you can quickly retrieve relevant notes. This is the true value of notes. Review is a good way to remedy poor indexing. People with good indexes can stably use knowledge without regular review.

Will these tools reveal my reading privacy?

Each family is very different. The data of NotebookLM and Feishu Miaoji are hosted in the cloud and theoretically can only be read by the service. Please be careful with sensitive books. Browser extensions like Save AI give local priority, and the exported files are stored on your own computer, with the highest level of privacy. Notion is somewhere in between. Read the privacy policy before choosing a tool, especially when it comes to non-public material.

Reading notes are one of the most underestimated long-term personal assets. AI tools have drastically reduced the cost of taking notes, but whether it can really sink in costs still depends on whether you are willing to chew through the contents of the book in twenty minutes. Tools are just amplifiers, and you still set the direction yourself.