How to Transcribe Lectures with AI

Taking notes during a lecture is a balancing act. You are trying to listen, understand, and write at the same time. Something always gets lost. Either you miss a key point because you were busy writing, or your notes end up so sparse that they are useless when you review them later.

AI transcription solves this problem. Record the lecture, let AI convert it to text, and then generate organized study notes from the transcript. You stay focused during the lecture and end up with better notes than you could have written by hand.

Here is how to set it up and get the most out of it.

What You Need

The setup is simple. You need a way to record audio and a tool that can transcribe it.

For recording, your phone works fine. Most phones produce clear audio if you sit within a few rows of the speaker. If you are in a large lecture hall, a dedicated recorder or a clip on microphone will give you better results.

For transcription, you want a tool that offers speaker identification (so you can tell when the professor is speaking versus a student asking a question) and note generation (so you do not have to read the entire transcript to study).

Step by Step Process

1. Record the Lecture

Open your recording app before the lecture starts. Place your phone on the desk with the microphone facing the speaker. If you are using a laptop, most built in microphones work well enough in smaller classrooms.

A few tips for better recordings:

• Sit closer to the front if possible. Audio quality drops off quickly with distance.
• Avoid rustling papers or typing loudly near the microphone.
• If the lecture is long, do not worry about file size. An hour of audio is typically 50 to 100 MB, which any modern phone can handle.

2. Upload and Transcribe

After the lecture, upload the recording to Lua Voice. The transcription usually takes a few minutes depending on the length. For a one hour lecture, expect about 3 to 5 minutes of processing time.

The transcript will include timestamps and speaker labels. This is incredibly useful when you need to find a specific moment later.

3. Generate Study Notes

This is where AI really shines. Instead of reading through an hour long transcript, you can generate structured notes that pull out the key concepts, definitions, and examples.

In Lua Voice, you can choose from different note templates or create your own. For lectures, a template that focuses on key concepts, definitions, and summary works well. You can also create a custom template that matches the format your professor uses for exams.

4. Review and Edit

AI generated notes are a great starting point, but they work best when you review and refine them. Use the rich text editor to:

• Highlight the most important points
• Add your own observations or connections to other material
• Flag things you did not understand for follow up
• Reorganize sections to match how you think about the topic

This active review process is actually one of the most effective study techniques. You are engaging with the material instead of passively rereading.

Tips for Better Results

Record every lecture, even if you think you will not need it. Storage is cheap, and you never know which lecture will turn out to be the one you need to review before an exam.

Create custom note templates for different courses. A science lecture needs different note structure than a history seminar. Lua Voice lets you build templates that match each course format.

Use the transcript search to find specific topics. If you are studying for an exam and need to review what the professor said about a particular concept, you can search the transcript directly instead of scrubbing through audio.

Combine AI notes with your own. The best approach is to take minimal notes during the lecture (just enough to stay engaged) and then merge them with the AI generated notes afterward. You get the benefit of both active listening and comprehensive coverage.

Cost Considerations

If you are a student on a budget, the cost matters. Most transcription tools charge $15 to $30 per month, which adds up over a semester.

With Lua Voice, the Free plan gives you 30 minutes per month, which is enough for a few short lectures. If you need more, bringing your own API keys is the most cost effective approach. Transcribing a one hour lecture through your own AssemblyAI key costs roughly $0.44. Over a semester of three classes with two lectures each per week, that is about $15 total, compared to $100+ for a monthly subscription.

Get started with a free account and try it with your next lecture.