About VideoNoteGPT

VideoNoteGPT turns a recorded lecture into notes you can actually study from — chapters, key points, defined terms, a full transcript and a quiz — in the time it takes to make a coffee.

Why it exists

Recorded lectures solved the wrong problem. Universities moved teaching online and handed students a two-hour video file, which is harder to revise from than a page of notes, not easier. You cannot skim a video. You cannot search it. You cannot glance at it on a bus.

Rewatching at 2× speed is not studying — it is watching. What most people actually want is the structure: what was covered, in what order, which ideas mattered, and what the unfamiliar words meant. That is the thing VideoNoteGPT produces.

How it actually works

No magic, and worth being specific about since the output is only as trustworthy as the process:

  1. Audio extraction. Your upload, or a video from a link, is reduced to an audio track. Nothing is watched or interpreted visually at this stage.
  2. Transcription with Whisper. OpenAI's Whisper model converts speech to text. It auto-detects the language and handles accented speech and lecture-hall audio reasonably well. This is the slowest step — it runs on CPU, so it takes real time on a long recording.
  3. Structuring with Groq. The transcript goes to a large language model, which segments it into chapters, pulls out key points with their timestamps, defines the technical terms, and can generate quiz questions.
  4. Export. The result becomes Markdown, PDF, Anki flashcards, an Obsidian-ready file, or SRT/VTT subtitles.

Every claim in the summary is grounded in the transcript. The model is instructed to work only from what was actually said, which is why a poor-quality recording produces a thinner summary rather than a confident, invented one.

Where it is weakest

Worth knowing before you rely on it. Heavy background noise, several people talking over each other, and dense unfamiliar jargon all reduce transcription accuracy — and everything downstream inherits that. Content shown only on slides and never spoken aloud will not appear in the notes, because the pipeline listens rather than reads. The raw transcript is always available so you can check anything that looks wrong.

What happens to your files

Uploads are deleted within 24 hours of processing. Your lecture content is never used to train AI models, and is never sold or shared with third parties. You can use the tool without an account at all — no email required to try it.

Full detail is in the Privacy Policy. If you want something removed sooner, ask via the contact form and we will action it.

How we pay for it

Transcription and AI summarization cost real money per lecture, so the honest answer matters:

If a lecture fails to process, the credits are returned automatically. You are never charged for something that did not work.

Who it is for

Mostly students working from recorded lectures — medical, law, nursing, engineering and others where the material is dense and the recordings are long. It is also used by researchers working through conference talks, and by teachers producing revision material from their own recordings.

It suits some people more than most: anyone who finds a wall of text hard going, anyone revising while commuting, and anyone whose lectures are in a second language, where a searchable transcript alongside the summary does a lot of work.

Get in touch

Bug reports are genuinely welcome — a lecture that failed to process tells us more than a hundred that worked. Use the contact form or email hello@videonotegpt.com. We reply within 24–48 hours.