Tips, guides and tutorials on AI notetaking for students and professionals.
Most university modules give you the slides, and most students revise by reading through them. That is one of the least effective ways to use them. Here is how to turn a slide deck into something that actually tests you.
Revising at university is a different job from revising for A-levels. There is more material, less hand-holding, and exams that reward explaining and applying ideas rather than reciting them. This guide sets out what works, what to skip, and a plan you can start six weeks out.
Flashcards are one of the most reliable ways to revise a lecture, because they make you remember the material rather than reread it. The hard part is turning a page of notes into cards that are worth testing yourself on. Here is how.
Lecture recordings are a good source for revision, but listening to them again is one of the weakest ways to use them. Here is how to turn them into something you can actually test yourself on.
It's a few weeks before the exam and there are eight lectures you never properly processed. Rewatching them all would take a full day you don't have. Here's a triage method for revising a module from lecture recordings — fast.
Good revision notes aren't written during the lecture — that's exactly when you're least able to write them. Here's a step-by-step method for making complete, structured revision notes from lecture recordings, and where AI fits in.
Lectures are designed around a set of assumptions — that you can listen and write simultaneously, that you'll absorb spoken information efficiently, that you can keep pace with a single real-time delivery. For neurodivergent students, these assumptions often don't hold.
Falling behind in lectures is one of the most common and least talked-about problems at university. A few missed sessions can snowball into a backlog that feels impossible to clear — especially when re-watching hours of recordings is the only option anyone suggests.
Taking notes in lectures is genuinely hard when you have ADHD. The moment you try to write something down, you miss what comes next — and the effort of writing breaks the attention you needed to understand the content in the first place.
Transcribing research interviews manually takes roughly four hours per hour of audio. AI brings that down to minutes, with accuracy good enough for most qualitative research. Here's how to do it right.
Whether you recorded a lecture on your phone, downloaded a Zoom recording, or captured a Teams call, AI can convert that audio into structured study notes in minutes. Here's exactly how it works.
AI has made it possible to automatically take notes from any lecture — simply record the audio and upload it for instant transcription and summarisation. Here's exactly how to do it, step by step.