How to choose an AI note-taking tool, 2026 Notion Evernote Feishu Obsidian actual test comparison

📅 2026-06-14 01:33:43 👤 DouWen Editorial 💬 6 条评论 👁 0

How to choose an AI note-taking tool, 2026 Notion Evernote Feishu Obsidian actual test comparison

Note-taking software has changed rapidly in the past two years. In the past, everyone was comparing the synchronization speed, the number of templates, and whether they looked good or not. Now the focus has quietly shifted to AI. When it comes to taking down meeting minutes, some tools can help you automatically summarize the to-dos, while others still let you type manually. There are many tools with similar names on the market. Notion, Evernote, Feishu Knowledge Base, and Obsidian each have their own fans, but their positioning and AI capabilities are actually quite different. This article will put these four together and make a qualitative comparison from the perspective of ordinary people's daily use to help you figure out which one to choose.

What does AI bring to note taking?

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Before AI comes in, the core value of note-taking tools is that they can be stored and found. After AI is added, notes are no longer just a passive warehouse, but more like a conversational assistant. The most direct change is the writing aid. If you give it a title, it can help you draft an outline. If you post a long article, it can condense it into a few sentences of summary. The second is question and answer retrieval. In the past, you relied on keywords and tags to find things. Now you can directly use natural language to ask "What was the conclusion of the budget discussion last month?" and the tool will find the answer from your notes.

Another increasingly common scenario is to precipitate external AI conversations into notes. Many people's current inspirations and first drafts are actually born in conversation windows such as ChatGPT and Claude. After the chat, these contents are scattered on the web page and are easily lost. How to cleanly move them into the note-taking system is becoming a new need. AI has turned notes from a recording tool into a thinking tool, but each product has a different way of digesting this wave. Let’s take a look at each one.

Notion’s positioning and AI capabilities

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Notion is the one that has grown the most in recent years. Its core selling point is that it combines documents, databases, and Kanban boards into a flexible block editor. You can use it to keep a diary, or you can build a small project management system, which has a high degree of freedom. This "everything can be blockable" design makes it particularly suitable for people who like to tinker with structures on their own, but there is indeed a threshold for novices to get started. It is easy to not know where to start when faced with a blank sheet of paper.

In terms of AI, Notion has earlier embedded assistant capabilities into the editor. It can continue writing, rewriting, summarizing, and translating based on public information, and it can also do questions and answers based on the content of your workspace. Its AI and database are tightly integrated, making it suitable for scenarios with large amounts of content that require structured organization. In terms of price, Notion distinguishes between individual and team levels. AI functions are usually regarded as value-added items. Please refer to the official public page for details. Overall, it is a modern and international tool with an active ecology and template community.

Evernote’s positioning and AI capabilities

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Evernote is considered a veteran product in China, and many people first used it to clip web pages and store information. Its advantage is that it has a deep deposit, a large number of old users' databases are accumulated here, and the cost of moving is high, so it is very sticky. Its product form is relatively traditional, mainly notebooks and labels. It does not emphasize free assembly like Notion. Instead, it gives people a sense of stability and is not easy to make mistakes. It is suitable for people who don't want to mess around and just want to remember things with peace of mind.

In recent years, Evernote has also kept up with the pace of AI. According to public information, it has added capabilities such as intelligent summary, writing assistance, and question and answer. The direction is roughly the same as that of its peers. Its adaptation to Chinese scenes is relatively good, and its old skills such as clipping and OCR are still easy to use. The price is also divided into free and membership levels. The opening range of AI functions is subject to the official public page. If a large part of your note history is already in Evernote, continuing to use it to enjoy AI upgrades is usually the option with the least resistance.

Positioning and AI capabilities of Feishu Knowledge Base

The positioning of Feishu Knowledge Base is different from the previous two. It has been oriented to team collaboration from the beginning. Feishu itself is an office suite that integrates documents, tables, multidimensional tables, IM, and video conferencing. The knowledge base is the part where team information is stored. Its strength is collaboration. Multiple people can edit, comment, @reminder, and permission management are very solid at the same time. Data can sink along the organizational structure instead of being scattered in the hands of individuals.

In terms of AI capabilities, Feishu has embedded intelligent assistants into the entire suite. Based on public information, it can summarize documents, assist writing, retrieve answers from the knowledge base, and link meetings and schedules. For enterprises, this method of integrating AI into the collaboration process is very practical. Minutes can be automatically generated during a meeting, and information can be found from company-wide documents by just asking. In terms of price, Feishu has different plans for teams and enterprises, and some capabilities vary with versions. Please refer to the official public page for details. It is more suitable for organizations rather than purely individuals, and it is a bit heavy to use alone.

Obsidian’s positioning and AI capabilities

Obsidian is taking another path, with local priority and two-way links being its two flags. Your notes are just a bunch of Markdown files stored locally. They do not rely on a cloud service. The data is completely in your own hands. This makes people who value privacy and long-term control very at ease. Double chain is its soul. When you mention another concept in a note, it can be linked to it. Over time, a knowledge network will be formed. When paired with a relationship map, it will look very fulfilling.

Obsidian itself does not come with official AI, but it has a huge community plug-in ecosystem. Through third-party plug-ins, you can access various large models for summary, Q&A, and writing assistance. The gameplay is very flexible. The price is that you have to configure it yourself, and you may have to prepare your own API. It is free for individuals, and there are other plans for value-added services such as commercial use and synchronization. Please refer to the official public page for details. It is suitable for people who are willing to get started, pursue data autonomy, and like to build a personal knowledge system, but the threshold is high for users who just want to use it out of the box.

Multi-dimensional horizontal comparison

Put the four models on the same table and the differences will be clear. In terms of AI functions, Notion and Feishu have deeply embedded their assistants into their own systems, followed closely by Evernote, and Obsidian relies on plug-ins to assemble their own assistants. The first three are ready to use out of the box, while the latter has a higher limit and requires more effort. Feishu is the best in the collaborative dimension, followed by Notion, and Evernote and Obsidian are both more personal.

In terms of local priority, Obsidian has almost no rivals. Your files are actually on the hard drive. The other three companies are essentially cloud-based. Obsidian is also the benchmark in terms of dual links. Notion has page interlinking but the experience is different. The other two are weaker in this aspect. It is difficult to compare prices directly because each company’s tiering logic is different and is subject to adjustment. The official public page shall prevail. In one sentence, there is no absolute best, only suitability. The key depends on which one or two dimensions you value most.

Selection by scenario, how to choose a personal knowledge base

If your goal is to build a personal knowledge base that will accompany you for a long time, the core requirements are often that the data is controllable, retrieval is easy, and it can grow slowly. In this case, Obsidian is the first choice for many heavy users. The local Markdown is not afraid of the platform running away, and the double chain allows knowledge to be naturally networked. The disadvantage is that it takes time to configure and maintain. If you don’t like the hassle, Notion’s flexible structure can also support a good personal library, and AI Q&A is available out of the box, making the experience smoother.

Evernote is suitable for people who have accumulated it for many years and don’t want to move. It’s easiest to continue using it to enjoy AI upgrades. When choosing, you might as well ask yourself: Do you care more about complete control of data, or do you care more about peace of mind and ease of use? The former prefers Obsidian, and the latter prefers Notion or Evernote. A personal library is something that will be used for many years, and the migration cost is very high, so thinking about the long-term orientation from the beginning is more important than chasing new features.

Selection according to scenario, how to choose for team collaboration

The logic of team scenes is completely different from that of individuals. At this time, it doesn’t matter how good the single-player experience is. The key is whether everyone can work together smoothly. Real-time editing by multiple people, comment and discussion, permission classification, and data accumulation with the organization are the key to life. From this perspective, the advantages of Feishu's knowledge base are very prominent. It is designed for teams. AI can also link meeting minutes and company-wide document retrieval. A closed-loop office process is very efficient.

Notion is also very good at team collaboration. It is especially suitable for small teams such as product, design, and content that need to flexibly build collaboration spaces. Its database and templates can quickly set up a set of workflows. Evernote and Obsidian are relatively difficult to use for multi-person collaboration and are more suitable for individuals. When choosing tools for your team, in addition to functionality, you should also consider members’ acceptance and existing work habits. No matter how powerful the tool is, it will be in vain if people are unwilling to use it. It is usually more stable to pilot it on a small scale first and then promote it.

Selection by scene, how to choose for writing and creation

Writers have different needs. What they want is a smooth coding environment, an uninterrupted interface, and the ability to compile scattered materials into finished products. Obsidian's pure Markdown writing experience is very popular among authors. Local saving, focus mode, and double-chain connection of materials make long-form writing very comfortable. Notion's block editor is suitable for structured content creation, with flexible typesetting, coupled with AI continuation and rewriting, and good drafting efficiency.

There is a link that is often overlooked here. Many people’s first draft is actually formed in the AI ​​conversation first. After a satisfactory conversation, they then find a way to move it into notes and continue polishing it. It is critical to export these conversations cleanly, you can useSave AISuch tools. It is a Chrome browser extension that can export conversations from ChatGPT, Claude, Gemini and other sites into PDF, Word, Markdown, JSON or long images. The Markdown format can be directly pasted into Obsidian or Notion and then written. It has local priority, is available offline, and does not upload data to the cloud. This is very friendly to creators who care about privacy. It is worth knowing as a third-party supplementary link.

Mix and match tools to form a workflow

In reality, few people use only one kind of notebook. The smarter way is to mix and match according to their specialties. For example, at the team level, Feishu or Notion can be used as a collaboration center, personal in-depth thinking can be put into Obsidian, and temporary inspiration can be jotted down in Evernote, so that each can draw on their own strengths. The key is to figure out what role each tool plays in your process, rather than shoehorning everything into one.

The biggest fear of mashups is that when data is moved between tools, the format will be messed up and the content will be lost. A practical concatenation idea is to unify the intermediate products into a common format such as Markdown as a transit. For example, the content produced in the AI ​​dialogue is first exported to Markdown using the aforementioned Save AI, and then distributed to different notes for further processing, so that cross-tool migration is much smoother. Exporting AI conversations to Markdown and filing them into notes is essentially an insurance policy for perishable conversations. Tools are dead, processes are living, and only when they are used smoothly can they be really useful.

FAQ

Which one is more suitable for personal knowledge base, Notion or Obsidian?

It depends on what you value more. Obsidian is local-first, data independent, and has strong dual-chain capabilities, making it suitable for people who are willing to build a system; Notion is flexible, has AI ready to use out of the box, and is quick to get started, making it suitable for people who want to save worry and need structure. Heavy long-term users prefer Obsidian, and those who want to save trouble prefer Notion.

Is Feishu Knowledge Base suitable for personal use?

It's usable, but a little heavy. Feishu is essentially an office suite for team collaboration. Its advantage lies in multi-person editing and organizational accumulation. Individual use alone will not use most of the collaboration capabilities, and the experience is not as light as dedicated personal note-taking.

Are there any additional charges for the AI ​​features of these note-taking tools?

Each company's strategy is different. AI is usually used as a value-added capability, some of which are included in the membership or team version, and some of which need to be activated separately. The specific open scope and billing methods are subject to the official public page. It is recommended to go directly to the corresponding official website to check the latest instructions.

How to save ChatGPT or Claude conversations into notes

You can use Chrome extensions such as Save AI to export conversations into formats such as Markdown, and then paste them into tools such as Notion and Obsidian to continue organizing. It supports multiple formats such as PDF, Word, Markdown, JSON, and long images, with local priority, offline availability, and data not uploaded to the cloud.

Can several tools be used interchangeably?

It's totally fine, and it's very common. Use Feishu or Notion for team collaboration, Obsidian for personal in-depth notes, and Evernote for temporary records. Just divide the work according to your expertise. For cross-tool migration, it is recommended to use Markdown as a universal transfer format to reduce format loss.

In the final analysis, note-taking tools are for thinking. You don’t have to worry about which one to choose. It is suitable, convenient, and can be remembered for a long time. It is far more important than a few more ticks on the function list.

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💬 评论 (6)

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SEOFan 2026-06-13 20:16 回复

Loved the FAQ section.

S
SEOFan 2026-06-14 00:28 回复

Practical tips not fluff.

S
SEOFan 2026-06-13 23:19 回复

Great resource.

C
ContentDev 2026-06-13 14:53 回复

Step-by-step is gold.

C
ContentDev 2026-06-13 20:00 回复

Thanks for the detailed comparison.

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AIWatcher 2026-06-13 23:58 回复

Clear and to the point.