Best FREE Speech to Text AI - Whisper AI

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Published 2023-01-18
In this step-by-step tutorial, learn how to use OpenAI's Whisper AI to transcribe and convert speech or audio into text. Whisper AI performs extremely well and better than most human transcribers. It also outperforms most other speech to text tools in most environments.

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Get 99% accurate transcripts, captions and subtitles with Rev -- the #1 speech-to-text service in the world. rev.pxf.io/DVGe7G (Disclosure: Signing up through this link gives me a small commission to support videos on this channel. The price to you is the same.)

šŸ“š RESOURCES
- Whisper GitHub page: github.com/openai/whisper
- Article that walks through how to use Whisper AI: kevinstratvert.com/2023/01/19/best-free-speech-to-ā€¦
- Google Drive: drive.google.com/
- Install Whisper AI:
!pip install git+github.com/openai/whisper.git
!sudo apt update && sudo apt install ffmpeg
- Run Whisper AI:
!whisper "ENTER FILE NAME HERE" --model medium
- Additional arguments:
!whisper -h

āŒš TIMESTAMPS
0:00 Introduction
0:34 Whisper AI background
1:20 Install Google Colaboratory
2:10 Configure Google Colaboratory
3:09 Install Whisper AI
3:54 Upload audio or video
4:22 Run Whisper AI
6:06 Review results
6:31 Transcribe another file
6:42 Additional parameters
7:35 Wrap up

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All Comments (21)
  • @marysorensen1548
    Being able to quickly transcribe audio files makes a huge difference in my work writing magazine articles that are based on recorded oral interviews. Thank you SO MUCH for making this accessible! Legitimately game-changing. You're the best.
  • @andrewzanas9387
    Awesome work, Kevin. Thank you very much for taking the time to make it possible for all of us to follow in your footsteps. My plan for your excellent tutorial is to apply it to two immersive language learning courses I've struggled with. Immersive sounds important but it's meaningless. What it really means is that we'll find ourselves stuck in a language course where only the teacher was capable of understanding & translating the target language. The rest of us will have to guess meanings from the clues and contexts in the material, like a newborn infant. It takes thousands of incidental exposures to build a large vocab. And like me half the other students often only speak their native languages fluently. This is how languages should be taught. Bless you, Kevin.
  • @aadyagaur4872
    This is so helpful! Working in the qualitative research field for years...this just makes the entire process of transcribing so much easier. Thank you!
  • @JordChase999
    The fact that it outperforms most human transcribers and other speech-to-text tools in various environments is truly impressive. Thanks for sharing this valuable tutorial and shedding light!
  • This is the simplest and no nonsense tutorial I have seen. Thank you so much, Kevin!
  • Excellent Kevin, I was a bit daunted by the code etc, but by following your simple instructions step by step it worked. You're a great educator.
  • @carolb8343
    This is the most beneficial video I have watched so far. Thank you Kelvin for your selfless commitment. I just love the way you take time to explain things making it so easy to understand. God bless you and increase you more.
  • @ushabenjamin
    Excellent Kevin! I've been struggling to transcribe large interviews for our publication.I'm sure this will help solve the problem. You're a great educator! Kudos!
  • Thank you very much Kevin for the video and the well-written article. Your instructions helped me a lot. As a result, now I can better understand the content of three online courses and their many video sessions. As a student, paying this to a transcription service would have been prohibitive. Keep up the good work! šŸ‘
  • @rheticus5198
    A bit off topic, but when I was playing around a Speak and Spell IC in the 1980s, I noticed that whispering really helped when trying to encode speech for the IC. Speak and Spell used linear predictive coding to synthesize speech. My analysis code could not handle voiced segments, but worked well on whispering. Back then it would take many hours to encode a couple of seconds of speech on my pitiful 8080 PC. Gotta say I am really impressed with the way speech technology has advanced over the years.
  • I just love how you thoroughly explained this thing and provided a super easy step-by-step tutorial of this. You're so greattttt!!!! I'm so glad it worked! I have been spending DAYS jotting down all the notes about our company meeting but some words are just hard to comprehend! Hence, I'm indeed thankful for this video! You just earned a new subscriber here! Looking forward to more helpful and practical videos of you in the future!
  • @TrueBlueBoogie
    Hi Kevin - thank you! Excellent tutorial. I am not well-versed in code work, but I was able to follow your action steps because your visual navigation from one window to the next was fairly easy to follow. Well done! Look forward to seeing what else I can learn from you in the future.
  • @robh5695
    I love your videos, Kevin. They're informative and useful, as well as the step by step instructions and every day examples. This is very cool technology!
  • @rcd3419
    I am absolutely gobsmacked! This video and the tools you have provided are AMAZING. I have been struggling for a week to find a free way using AI to transcribe lengthy interviews and have had nothing but failures, or options that are only free trials. The output is flawless. I will have to do some more work organizing who is saying what etc, which requires me to listen to the file and make edits, but the most time consuming heavy lifting work is done. Thank you and I can't wait to check out your other videos!
  • @RhondaFairman
    Thank you SO much. I processed a file on Google yesterday, manually made all the changes - which took about an hour and several re-listens to the audio. This morning I followed your excellent instructions and the model turned out a perfect transcription! I could have saved 1 hr yesterday. Bless you.
  • @Tastefulrefined
    "unexpected indent" Just to point this out in case it happened to anyone else: When entering that code in the description, I kept failing, getting this "unexpected indent" nonsense. It drove me crazy for a while, but then I figured out the solution: just before the, " !sudo apt update && sudo apt install ffmpeg" part, was a blank character. Once I deleted that blank character (right before " !sudo......"), everything worked fine. Thanks Todd
  • @vidisports
    Amazing video Kevin, always love watching your stuff. Your teaching skill is top notch, you actually make people want to learn!
  • @SirGregory
    This is much easier to do than it seems at first. I've just run my latest YouTube video through Whisper AI and then added the captions using YouTube Studio. I did a bit of tweaking of the start points and length of sentences and that was it. Easy! Another winner from Mr Stratvert.