You are sitting in a 75 minute lecture, trying to write down a professor's argument while also actually listening to it, and you are losing on both fronts. This is the exact problem AI notetakers were built for. Otter.ai, Fireflies, and Notta all promise the same basic thing: record the lecture, transcribe it automatically, and hand you a searchable, summarized version afterward so you can focus on understanding instead of transcribing.
But "records and transcribes" is where the similarities stop. These three tools differ a lot in accuracy, price, privacy, and how well they handle a professor who talks fast, uses jargon, or writes on a whiteboard while explaining something out loud. I tested all three across a semester of real classes, from a 300 person econ lecture to a small seminar, and this post covers what actually held up, what a syllabus AI policy has to say about any of this, and where the line is between "smart notetaking" and "not doing the reading."
Table of Contents
- What These Tools Actually Do
- Otterai Strengths and Weaknesses
- Fireflies Strengths and Weaknesses
- Notta Strengths and Weaknesses
- How to Choose Based on Your Classes
- Setting These Tools Up the Right Way
- Where the Line Is
What These Tools Actually Do
At the core, all three apps do the same three jobs: record audio, transcribe it in near real time, and generate a summary with a rough outline of topics covered. Most also let you highlight moments during the lecture, search the transcript by keyword later, and export the text into a doc or your notes app. The pitch is not that they replace your notes, it is that they catch what you miss while you are busy actually thinking about the material.
Where they diverge is in the details that matter for a student specifically: how well they handle technical vocabulary (think "endogeneity" or "myocardial infarction"), whether they can tell your professor's voice apart from the student who asks a rambling question, how they handle slides or board work that never gets spoken aloud, and what happens to your recording afterward. A tool that transcribes a business lecture beautifully might mangle organic chemistry terms into nonsense, and that gap is exactly what you need to know before you commit a semester of lecture audio to one platform.
It's also worth naming the obvious limit up front: none of these tools understand the material. They transcribe what was said. They cannot tell you if your professor misspoke, if a claim on the slide is actually the important one, or if the tangent about a TA's cat is worth remembering (it is not). You are still the one doing the learning. The tool is doing the typing.
Otterai Strengths and Weaknesses
Otter.ai is the most established name in this space, and it shows in the polish. Its live transcription is fast and generally accurate for standard academic English, and its "OtterPilot" feature can auto-join Zoom or Google Meet calls, which matters if your professor records hybrid sections. Otter's summary feature groups the transcript into topic chunks with timestamps, so you can jump straight to the 40 minute mark where the professor explained the concept that's actually going to be on the exam.
The weaknesses show up with accents, cross-talk, and specialized vocabulary. In a genetics lecture full of gene names and enzyme abbreviations, Otter's transcript needed heavy editing. It also struggles when multiple students ask questions in quick succession without raising their voice. The free tier caps you at a limited number of monthly transcription minutes, which sounds generous until midterm season, when you are recording four lectures a day. Otter is the safest default choice for humanities, social science, and business classes where the vocabulary is closer to everyday English.
Fireflies Strengths and Weaknesses
Fireflies was built primarily for business meetings, and that heritage is obvious the moment you open it. It integrates cleanly with calendar apps and can auto-join scheduled Zoom sessions, which is handy for classes that post a recurring Zoom link. Its AI summary is arguably the strongest of the three for pulling out action items and decisions, which translates well to seminar discussions where a professor assigns follow up reading or a project deadline mid-class.
The drawback is that Fireflies feels less tuned for a single speaker lecturing for an hour straight. It sometimes over-segments a professor's monologue into artificial "topic changes" that don't map to how the lecture was actually structured, which can make the summary feel choppier than the real thing. Its free plan is also more limited on storage than Otter's, meaning you'll want to export transcripts regularly if you're not paying. Fireflies makes the most sense for discussion-heavy seminars, group project meetings, and study group calls where multiple people are talking and decisions are being made, more than for a straight lecture hall.
Notta Strengths and Weaknesses
Notta is the newer, leaner option of the three, and it has quietly become strong on multilingual transcription, which matters if you're in a language course, an international program, or a lecture where your professor code-switches between English and another language. It also has a genuinely useful mobile app that works well for recording in person without needing a laptop open on your desk, which is less disruptive in a small seminar room.
On the downside, Notta's summarization is the weakest of the three for long academic lectures. It tends to produce a shorter, more generic summary that misses nuance, so you'll lean more heavily on the raw transcript than the AI-generated overview. Its integrations with note apps like Notion or Obsidian are also less mature than Otter's. Notta is worth it specifically if you're in language classes, need a phone-first workflow, or attend a lot of guest lectures where you can't set up a laptop in advance.
The best notetaking tool is the one that lets you close your laptop and actually listen.
How to Choose Based on Your Classes
If most of your classes are lecture-based humanities or social science courses, Otter is the strongest default: its summaries map well onto typical lecture structure, and its accuracy on standard English is the best of the three. If you're in seminar-heavy programs with lots of discussion, group projects, or professor-assigned action items, Fireflies' meeting-oriented summaries will save you more time. If you're taking a language course, working across multiple languages, or you need a phone-based workflow for guest lectures and small rooms, Notta earns its place.
Many students end up using two tools: one for lecture-heavy STEM or humanities classes, and a second for seminars or group work. That's not overkill, it's matching the tool to the actual shape of the class. What doesn't make sense is paying for all three "just in case." Pick based on your actual course load this semester, not a hypothetical one.
Setting These Tools Up the Right Way
Before you record a single lecture, check your syllabus and your school's policy on recording class sessions. Some professors require verbal consent before recording, some prohibit it outright for classes involving sensitive discussion, and some are completely fine with it. A quick email works: "Hi Professor Alvarez, I'd like to use an AI transcription app to record and transcribe our lectures for my own note-taking. Is that alright with you?" Most professors say yes. The ones who say no usually have a specific reason, like a guest speaker who didn't consent to being recorded, and you should respect that without pushback.
Once you're set up, the workflow that actually works is: record the lecture, but keep taking your own shorthand notes at the same time, focused on questions you have or connections you're making, not full sentences. Within 24 hours, skim the AI transcript and summary, and merge anything you missed into your own notes in your own words. Don't just paste the AI summary into your study guide unedited. The point of the tool is to catch gaps, not to replace the process of you actively summarizing material, which is where most of the real learning happens anyway.
Where the Line Is
Using an AI notetaker to catch what you missed in a lecture is not cheating. It's closer to using a dictation tool or asking a classmate for their notes, except more complete and more accurate. Where it gets murky is if you stop attending mentally: recording lectures and never listening live, planning to just read the transcript later "when you have time," which somehow never comes until the night before the exam. At that point the tool isn't helping you learn, it's letting you postpone learning indefinitely.
It's also worth being honest about the difference between a transcript and a summary. A transcript is a record of what was said. An AI-generated summary is already an interpretation, and interpretations can be wrong or flat. If you build your entire study guide off an AI summary you never checked against the actual transcript, you risk studying a slightly distorted version of the lecture. Use these tools to make your notetaking more complete, not to replace the thinking that turns a lecture into something you actually understand.
Frequently Asked Questions
Do I need to tell my professor I'm using an AI notetaker?
Yes, or at minimum check your school's recording policy and syllabus first. Most professors are fine with it, especially if you frame it as a personal notetaking aid rather than something you're distributing, but recording without any disclosure can violate class policy or, in rare cases, state consent laws for recorded conversations.
Is it cheating to use an AI transcript instead of taking my own notes?
Not by itself, but it depends on what you do next. Using the transcript to fill gaps in your own notes or to review something you missed is a legitimate study aid. Never taking your own notes and relying entirely on an AI summary the night before an exam usually backfires, because summarizing material in your own words is part of how you actually learn it, not just a byproduct of attending class.
Which tool is best if I'm on a tight budget?
Otter.ai's free tier is the most generous of the three for a typical course load, especially if you're only recording two or three classes a day. If you're taking a heavier load or attending long seminars, budget for one paid plan on whichever tool matches your class structure rather than trying to stretch three free tiers across a full semester.