Can AI really take notes for you?

Everyone's talking about AI. But when it comes to taking lecture notes, can artificial intelligence actually help? Or is it just marketing?

Spoiler: the answer is nuanced. AI does some things very well, and others not at all. Here's an honest assessment.

What AI does very well

Audio transcription

This is the most mature use case. Current speech recognition models achieve impressive accuracy, even with background noise, accents or fast speech.

In practice, you record your lecture and AI gives you a written text of everything that was said. It's 95%+ accurate in good conditions (decent microphone, not too much ambient noise).

Note structuring

Once the transcription is done, AI can organize the raw text into structured notes: headings, subheadings, key points, highlighted definitions. This is where large language models shine. They understand the hierarchy of ideas and can group information by theme.

Revision sheet generation

From a transcription or notes, AI can extract key concepts and rephrase them as revision material. Questions and answers, summaries, detailed outlines. It's a considerable time saver compared to manually creating study sheets.

What AI doesn't do (yet)

Understand for you

AI structures and rephrases, but it doesn't replace your understanding. If a concept is complex, reading an AI-generated sheet won't be enough. You'll still need to make the effort to understand, to connect it with what you already know.

Filter what's important to you

AI doesn't know that you already understand chapter 3 but struggle with chapter 4. It treats everything uniformly. It's up to you to prioritize your revision.

Replace active studying

Having perfectly structured notes is useless if you don't use them actively. Active recall and spaced repetition remain essential, with or without AI. Our guide on how to revise effectively covers these techniques in detail.

The right workflow with AI

AI is a tool, not a magic solution. Here's how to use it wisely:

1. During the lecture: record and listen actively (don't scroll on your phone)
2. After the lecture: get the transcription and generated notes
3. That evening: review the notes, correct any errors, highlight what you don't understand
4. When revising: use the generated sheets as a base for active recall

The time saved on note-taking and sheet creation gets reinvested into understanding and active revision. That's where AI truly makes a difference.

The state of the art in 2025

Several tools now offer AI note-taking. Some just transcribe, others go further with structuring and revision sheets. Hekko combines both: automatic transcription, then note generation in 4 formats (Cornell, structured, Q&A, concept/explanation). The Cornell format in particular — explained in our Cornell method guide — is ideal for turning AI-generated notes into active study material.

When choosing a tool, check three things: transcription quality, structuring relevance, and how easily you can access your notes after class.

AI won't pass your exams for you. But it can save you hours every week on the mechanical part of note-taking, so you can focus on what matters: understanding and retaining.