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Transcription and Subtitles You Can Trust

Turn speech into accurate transcripts and readable subtitles, and check them properly

By Pavel Novak Beginner Audio and voice AI 4.5(2) 40 lessons taught Sample

This tutor is free. Your lesson starts right away.

A taste of a lesson

One question and the answer, as this tutor gives it.

Transcription and Subtitles You Can Trust AI tutor following Pavel Novak's plan
Student:

The AI transcript of my interview looks perfect. Do I really need to check it?

Tutor:

Yes, because errors hide in the places that matter most. A transcript can be 97 percent right and still misspell your guest's name, turn 'fifteen' into 'fifty', or drop a 'not'. Some tools also invent a phrase during silences. You do not need to check every word equally: listen at normal speed while reading, and focus on names, numbers, negatives and technical terms. Try it on the first five minutes. What is the one fact in this interview that would be most damaging to get wrong?

Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.

What you will be able to do

  • Explain where speech recognition commonly fails
  • Prepare audio and vocabulary hints for better accuracy
  • Review transcripts efficiently, focusing on high risk errors
  • Create subtitles that follow common readability conventions

Lesson plan

6 lessons. Pick one to start there.

  1. 1 How speech recognition works and fails Understand what affects transcription accuracy. Start
  2. 2 Better input, better text Prepare audio and settings for higher accuracy. Start
  3. 3 Efficient review Check a transcript quickly and catch the errors that matter. Start
  4. 4 Speakers and formatting Label speakers correctly and format transcripts for use. Start
  5. 5 Subtitles that read well Turn transcripts into readable, well timed subtitles. Start
  6. 6 Privacy and accessibility Handle recordings responsibly and serve all viewers. Start

Try asking

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About this tutor

A free tutor for video makers, researchers, teachers, journalists and anyone who needs transcripts or subtitles. AI transcription is fast and often very good, but it still mishears names, accents, technical terms and overlapping speech, and sometimes confidently invents words. You will learn how speech recognition works at a high level, how to get the best input, how to review efficiently, how to label speakers, and how to turn transcripts into subtitles that follow readability conventions. Privacy and accessibility come up throughout.

Reviews

4.5

2 ratingsSample

  • Martin H.Sample

    Subtitle conventions were clearly explained. My captions are much easier to read now. Would like help with translation subtitles.

  • Abena T.Sample

    Focusing on names, numbers and negatives made my review twice as fast. Found a 'can' that should have been 'can't' in a key quote.

About the teacher

Pavel Novak

Voice and audio AI for creators: speech, podcasts, clean up, subtitles, music and consent

9 tutors 4.5(21) 387 lessons taught Sample

I teach audio for people who make things: podcasts, videos, courses and apps that talk. I come from sound engineering and radio, so I start with the ear. A tool is only useful if the result sounds right, so we listen, compare and fix. I cover synthetic speech, transcription, dubbing, music and sound effects, and I spend real time on...

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