The best AI note-taking app depends on what must become a note: a set of documents, a live conversation, or a decision your team needs to track. These are different jobs, and a tool designed for one may be a poor fit for another.
This shortlist compares published capture methods, plan limits, history access, and workspace fit checked on 4 October 2026. It does not contain measured transcription-accuracy or meeting-summary results; no test meeting was recorded for this update.
For an existing library of readings, consider Google’s source-based notebook. For spoken material, compare the session length and recording workflow. For team decisions, examine sharing, review, and retention rather than choosing by the word “unlimited.”
Choose the capture method before comparing subscriptions
Documents and research: Gemini Notebook, formerly NotebookLM, works from sources placed in a notebook. It is relevant when the information already exists in PDFs, handouts, websites, or notes.
Spoken material: Otter, Fathom, and Granola approach conversation capture differently. The free allowance, meeting duration, supported setup, and history access determine whether they fit your week.
Shared work: Fireflies and Notion place more emphasis on what happens after capture, such as shared records or workspace integration. Check whether the needed export and collaboration functions are included in the plan.
For additional account-free study options, see AI tools for students without sign-up.
Gemini Notebook, formerly NotebookLM: notes grounded in selected sources
Gemini Notebook is a relevant candidate when your notes begin with source material.
Instead of simply recording a conversation, you build a notebook from material such as:
- PDFs;
- documents;
- websites;
- notes;
- slides;
- other supported sources.
Gemini Notebook can then help you:
- summarize the material;
- answer questions based on those sources;
- generate notes;
- create study guides;
- build mind maps;
- generate flashcards or quizzes;
- create Audio Overviews;
- create reports and other study artifacts.
That makes it especially useful for:
- university students;
- researchers;
- exam preparation;
- literature reviews;
- long reading assignments;
- combining several source documents into one study space.
The key advantage is that the AI works from the sources you give it rather than behaving like a completely open-ended chatbot.
When I would use Gemini Notebook
Suppose you have:
- three journal articles;
- one lecture handout;
- a course PDF;
- your own notes.
Instead of summarizing each one separately, you can place them into one notebook and ask:
What ideas appear across all of these sources?
or:
Create a revision guide covering the main arguments, disagreements, and definitions.
That is much closer to actual studying than simply asking a general AI assistant to explain a topic.
If PDFs are your main problem rather than note organization, see Best Free AI PDF Summarizer Tools.
Google’s former NotebookLM address and help pages redirect to Gemini Notebook. Older comparisons may still use the former name. Google’s plan documentation distinguishes the standard source allowance from higher paid limits; do not assume that every account receives the same capacity.
The recommendation is based on its source-centered workflow. I have not established that it makes more accurate research notes than every alternative. Verify the passage behind a generated answer and keep disagreements between sources visible in your notes.
Otter: the session limit can matter more than the monthly total
Otter is a candidate when the main job is turning spoken conversation into searchable text.
It is useful for:
- lectures;
- meetings;
- interviews;
- group discussions;
- research interviews;
- recorded conversations.
The free Basic plan currently includes:
- 300 monthly transcription minutes;
- live transcription;
- speaker identification;
- AI Chat across meetings;
- mobile apps;
- limited file imports;
- support for Zoom, Microsoft Teams, and Google Meet.
That is enough for light use without paying.
Why students may prefer Otter
If your lecturer speaks quickly, Otter can give you a transcript you can review later instead of forcing you to write every sentence in real time.
The better workflow is:
- Record or transcribe the lecture where permitted.
- Review the transcript.
- Correct obvious transcription errors.
- Extract the concepts that actually matter.
- Turn those concepts into your own study notes.
Do not treat an automatic transcript as perfect notes. Background noise, accents, specialist vocabulary, and overlapping speakers can all reduce transcription accuracy.
If you regularly convert class notes into slides, Free AI Presentation Maker Tools can help with the next stage of the workflow.
Otter’s Basic-plan restrictions list 300 transcription minutes per month, 30 minutes per conversation, three imported audio or video files per account, and access to the 25 most recent conversations. The import allowance is not three new files each month.
A 60-minute lecture therefore needs attention to the per-session restriction even when your monthly balance is large. Check the full recording and transcription behavior before choosing the free plan for a course.
Fathom: distinguish unlimited capture from advanced AI features
Fathom’s free plan deserves attention when you want meeting capture without a monthly transcription-minute allowance.
Its individual Free plan currently includes:
- unlimited recordings;
- unlimited storage;
- unlimited transcriptions in supported languages;
- standard meeting summaries;
- a limited number of advanced summaries each month.
That is unusually generous compared with tools that meter every transcription minute.
Fathom works with supported online meeting platforms such as:
- Zoom;
- Google Meet;
- Microsoft Teams.
It is designed more for meetings than for general everyday note-taking.
When Fathom makes sense
Choose it when your day contains a lot of calls and you want:
- transcripts;
- summaries;
- searchable meeting history;
- less manual note-taking.
It is less suitable if your main need is:
- handwritten notes;
- lecture PDFs;
- research papers;
- offline personal knowledge management.
Check Fathom’s current supported platforms and capture method before choosing it for mobile-first or in-person note-taking. A meeting assistant is not automatically a recorder for every setting.
Fathom’s Free-versus-Premium explanation lists unlimited recordings, storage, and transcription on Free, but advanced summary templates are limited to the first five calls each month. Later calls retain the available general summary option.
That makes it a candidate for individual meeting capture, not evidence that every AI action or premium workflow is unlimited. Check the supported recording setup and what the free preview stops providing before relying on a feature.
Fireflies: evaluate storage and export alongside transcription
Fireflies.ai is more than a transcription tool.
It is designed around what happens after the meeting.
Fireflies can help with:
- recording;
- transcription;
- summaries;
- action items;
- searchable meeting history;
- shared workspaces;
- integrations;
- uploaded audio/video files.
That makes it useful for:
- remote teams;
- sales calls;
- project meetings;
- customer interviews;
- recruiting calls.
Fireflies currently lists limited AI summaries and 400 minutes of team storage on Free. Its pricing also places downloading transcripts, summaries, and recordings in a higher-plan feature list. If a portable archive is essential, verify export access before treating the free account as your long-term record system.
Where Fireflies is stronger than a simple note app
A normal note app helps you store information.
Fireflies is more useful when you want to ask:
What decisions did we make across the last five meetings?
or:
Which action items were assigned to me?
That turns meeting notes into something closer to a searchable team knowledge base.
If your work already revolves around broader AI productivity tools, see Best AI Tools Other Than ChatGPT for options that cover research, writing, coding, and design beyond note-taking.
Granola: check the history window before building an archive
Granola takes a different approach from many meeting assistants.
It is designed to feel more like a note-taking app that happens to use AI rather than a large meeting-management platform.
The current Basic plan is free and includes:
- AI meeting notes;
- AI chat within and across meetings;
- shared folders;
- custom note templates;
- multilingual support.
Granola lists a 30-day meeting-history window on Basic. Unlimited note creation is therefore not the same as unlimited access to older history. Check how you will preserve records you need beyond that window.
Why people like this style
Some users do not want another meeting bot taking over the entire call workflow.
They simply want:
- a clean note;
- a useful summary;
- something they can edit;
- less interface clutter.
Granola is a good fit for one-on-ones, interviews, and smaller professional workflows where the note itself matters more than team analytics.
Notion AI Meeting Notes: an integration choice for eligible subscriptions
Notion AI Meeting Notes is useful because the meeting note lives directly inside the workspace where your team already keeps:
- projects;
- documents;
- tasks;
- databases;
- calendars;
- decisions.
Notion can transcribe meetings, identify key points, and generate summaries and action items.
It can also store meeting notes in a default database and connect them to Notion Calendar.
That makes it attractive for teams that already use Notion heavily.
The important limitation
AI Meeting Notes is not simply part of Notion’s basic free experience.
Notion currently requires a Business or Enterprise plan, or another eligible subscription where the feature is included.
That is why I would not rank it as the best free AI note-taking app.
Its value is integration.
If your team’s entire operating system already lives in Notion, keeping meeting notes there may be more useful than using a separate transcription tool and copying the result back later.
Check a typical week, not just a feature list
Suppose you attend a long lecture, two short project calls, and a one-to-one meeting, then need the notes again next term. Session duration, imported-file limits, and access to older history are separate requirements. A tool can satisfy one and fail another.
Write down the longest session, monthly volume, required export format, and how long the notes must remain available. Compare those requirements with the current plan before paying. For research, count source documents rather than conversation minutes.
If the work begins with PDFs, use free AI PDF summarizers for document-focused options. If the output will become slides, see free AI presentation makers.
Meeting Notes and Consent
Automatic transcription creates a privacy issue that ordinary typed notes do not.
Before recording or transcribing a meeting, lecture, interview, or call, make sure you are allowed to do so.
That can depend on:
- workplace policy;
- school rules;
- meeting-platform policy;
- local recording law;
- the consent of other participants.
Notion explicitly recommends obtaining consent before using AI Meeting Notes.
Even when a tool can technically record a conversation, that does not mean you should do it without telling the people involved.
AI Notes Still Need Review
AI note-taking tools can make mistakes.
They may:
- misidentify a speaker;
- miss a technical term;
- invent a word from unclear audio;
- summarize the wrong point;
- omit an important qualification.
Notion, for example, explicitly warns that poor audio quality can produce transcript errors or made-up words.
That is why I would never treat an AI-generated summary as the official record of an important decision without checking it.
The same caution applies to all AI tools. My Can AI Be Trusted? guide explains how hallucinations and confident errors happen.
Do You Need an AI Note-Taking App at All?
Not always.
If your notes are short and manual organization already works, a traditional notes app may be enough.
AI becomes more valuable when you repeatedly deal with:
- long meetings;
- lectures;
- interviews;
- multiple source documents;
- large note archives;
- action items hidden inside conversations.
That is where summarization, transcription, and question-answering actually save time.
Make the reviewed note the record
Before relying on automatic notes, run a short, permitted conversation through your chosen tool. Include a technical term, a changed deadline, and an action assigned to a named participant. Check whether the summary preserves the final decision rather than an earlier suggestion.
This is a proposed check, not a reported test result. Inspect the transcript, correct the summary, and confirm that the people responsible agree with the recorded actions. Decide who may access the note and where the reviewed copy will be stored.
For an important meeting, keep the distinction between what was said, what the assistant inferred, and what participants confirmed. A polished summary should not quietly turn a tentative suggestion into a commitment.
