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Lectures → flashcards & quizzes

Rewatching a lecture feels productive and is the least effective way to revise. Testing yourself works better, and a transcript gives an AI exactly what was taught, so the questions match the lecture instead of the internet.

What you get

  • 20 to 40 flashcards in question/answer form
  • A 10-question multiple-choice quiz with the answer key
  • A [m:ss] timestamp on every card so you can rewatch only what you got wrong

With an AI assistant

Connect the MCP server to Claude, ChatGPT or Cursor, then paste:

Read the transcript of this lecture with timestamps: <video URL>. Make 25 flashcards (front: question, back: answer in one sentence) covering every concept in the order it is taught, each with the [m:ss] where it is explained. Then write a 10-question multiple-choice quiz with an answer key. Use only what the lecturer says.

With the API

Set GYT_API_KEY to a key from the developers page. Each transcript, list page or channel check costs one credit.

  1. 1. Get the lecture with per-line timestamps

    curl -s -H "Authorization: Bearer $GYT_API_KEY" \
      "https://getyoutubetranscript.com/api/v1/transcript?v=HtSuA80QTyo&timestamps=true"

Limits to know

  • Questions are only as good as the captions; skim the cards for misheard terms.

Tools for this workflow

Questions

Can I import the cards into Anki?

Ask for the flashcards as CSV with front and back columns, then use Anki's File, Import. Quizlet accepts the same two columns.

Does it work for non-English lectures?

Yes, if the video has captions in that language. Pass language=xx to the API or ask the assistant for that caption language.

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