Best FREE Speech to Text AI - Whisper AI

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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📚 RESOURCES
- Install Whisper AI:
!sudo apt update && sudo apt install ffmpeg
- Run Whisper AI:
!whisper "ENTER FILE NAME HERE" --model medium
- Additional arguments:
!whisper -h

⌚ 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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[marysorensen]

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.

[davidcohen]

Thank you! I am doing some transcribing that I just calculated would take me over 200 hours because of all the background noise and quiet speech, and a billion other issues. You are a life saver and this was able to transcribe one of the files in 10 minutes. It took me 8 hours to transcribe the same file with about 2 words difference! Amazing!!!

[YourOpinionMatta]

"unexpected indent" Just to point this out in case it happened to anyone else:

When entering that code in the description, it 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 " everything worked fine.
Thanks Todd

[aadyagaur]

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!

[JanRaeVelasquez]

This is the simplest and no nonsense tutorial I have seen. Thank you so much, Kevin!

[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.

[NBcarol]

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.

[JordChase]

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!

[JeffSu]

I must admit, I was a bit intimidated by all the code at first but it was super simple to set up! As a next step I'm going to try to get the translation working between English and Chinese!

[francoisdavel]

Kevin this is life saving. I have to transcribe dozens of interview for a masters dissertation. This is easy and soooo good!! This is the most powerful and high quality free tool on the internet, bar none. Thank you for sharing this!

[tombradford]

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.

[shesadhdifferent]

Hey man, I came back to this video as I am jumping back into my yt journey and want to give you a huge shout for such an indispensable tool! You did an awesome job explaining everything in layman's terms and making this accessible for everyone. Thanks a million 💛

[andrewzanas]

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.

[svg]

This is GREAT. I LOVE it!! I have done over 30 transcripts - some way over a hour without an issue. I have not paid anything. I convert all my files to mp3 before transcribing. I use the Lage Model. THANKS!!!

[rheticus]

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.

[davidtoussier]

Because of you, I'm able to create subtitles for multiple production houses and have been doing a business for myself using this! Excellent!!! I'll love to explore your channel and see what other magic tricks i can learn!

[prodigyacademy.education]

who knows kelvin himself can be an AI avator

[amarantaASMR]

I just need to thank you, Kevin, for the large amount of patience, hardwork, kindness and empathy shown in this video.
You are a true artist of education.
You have become my new standard of a true passionate teacher.
I wish I could hug you because the amount of perfectly explained information has moved me so much I want to cry.
I hope one day you'll be able to understand how generous this is of you to give to mankind.
Srly tough, I think I love you. 👏👏👏👏👏

[monsieurpapou]

Man, this is absolutely stunning! 😮
I've been working for years now trying to find a solution to accurately transcribe my voice. I suffer from muscular dystrophy, so my voice is really low. I've tried dozens of microphones, programs and interfaces but never found something as powerful and accurate as Whisper.
It's completely unbelievable how it can be so accurate! I've tried to transcribe my worst-quality recordings and it got almost 100% accuracy every time, especially when using the "large" model which gives even more impressive results.
Thank you very much for sharing and don't hesitate to give us more tips about speech recognition. it's getting better lately but there still is a lot of work to do.
By the way, do you know any way to obtain a file without automatic line breaks in the .txt file? It gives me a lot of work to do after transcribing to format the text.
(this whole paragraph has been transcribed using whisper ; 100% correct! And I'm french and speak english as a foreign language. And I've got a terrible sore throat killing my voice)

[artabandonedphotos]

TY! Kevin, thank you! You have just saved me hours of transcribing the interviews I have with some of the musicians I have spent time with recently! I cannot thank you enough for this. Your tutorials are easy to follow, and you never make me feel like an idiot as you walk through these things. TY!