How to turn lecture recordings into Anki flashcards
Transcribing a lecture is easy; the hard part is that a transcript is the wrong shape for spaced repetition. Cards have to be atomic — one question, one fact — and a transcript is continuous prose. The workable route is to transcribe, split by topic, then generate several short question-and-answer pairs per topic and keep a reference back to the lecture on every card.
Step by step
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1
Transcribe with timestamps if you can
Timestamps let a card link back to the moment in the recording, which turns 'I don't understand this card' from a dead end into a ten-second check.
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2
Split by topic, not by time
A 50-minute lecture is usually six or eight distinct ideas. Card quality depends far more on that split than on the wording of the questions.
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3
Write atomic questions
One fact per card. A card asking three things at once fails the whole card when you miss one part, which corrupts the scheduling that makes spaced repetition work.
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4
Keep the source on every card
Put the lecture title and timestamp in a field. Six months later, a card you can't verify is a card you delete.
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5
Review the first batch by hand
Generated cards drift toward trivia — definitions and names rather than the reasoning you actually need. Read the first twenty and cut ruthlessly before importing hundreds.
Doing it by hand
The whole process without any particular tool, if you'd rather build it yourself:
- Transcribe the lecture recording.
- Split the transcript into topic sections.
- Write three to five question-and-answer pairs per section.
- Save as a tab-separated file with a Tags column.
- Import into Anki, mapping the columns to your note type.
Common questions
Are generated cards as good as hand-written ones?
No, and it's not close for the material you find hardest. They're good at coverage — definitions, terminology, and facts you'd otherwise skip. Write the difficult conceptual cards yourself.
How many cards per lecture?
Three to five per distinct topic is a reasonable target, so roughly twenty to forty for an hour. Generating hundreds per lecture produces a deck you'll abandon in a fortnight.
What about diagrams and equations?
Audio transcription won't capture them. Those cards need the slides, and are usually worth making by hand.
The shortcut
SourceWeaver does every step above in one pass — reusing existing captions and transcripts, transcribing the rest on a GPU with optional speaker labels, and exporting in the format your destination tool actually wants. You can see real output before signing up.
Process content you own or created, content you're licensed or have permission to use, or openly-licensed and public-domain material. Whether any particular use is permitted depends on copyright law and the rights you hold — it's worth being sure before you start.