I'll apply this into my project :) for sure

thanks sister...really works. solved a big problem of mine for a long time. thanks thanks thanks thanks thanks thanks X 1000000

Definatly going to add this project in my Github profile, Thank you so much❣

Is there a way to get the time stamps for each word?

Thanks for the informative video.

Thank you for this now I can use it to dub my web series.

Hello, thank you for your great videos. I wrote two short functions to add to this program, which allows you to choose the color of the subtitle, even each line of the subtitle can be a different color.

Does it work on other languages as well?

This is great!

Great, love what your company is doing. What are the pring plans. I would love to hop on to this tool.

Cool feature, I am curious for KZfaq creators like us how does this compare? What does it offer in addition?

Thank you. What do you use for your video recording (this video I mean), Loom?

Great!

Does it work for local languages like telugu (india)

Nice! How does this work on the back end ?

AssemblyAI's API is such a masterpiece (❁´◡`❁)💯🤩

awesome

Excellent. can I get txt file that contian time and text like youtube transcript ?

First, in 41 seg, from Brazil!

its work

Is for free? which is prefer whisper than this?

Hey assembly a.i your development in the a.i technology is awesome I just wanted to be a part of you , let me know poc , we will connect for a while

how to generate text into specific language like I want in Hindi language ??

i like this

how much does it cost?

Beautiful girl in programming. Nice video

hi, can translate korea language?

100 beers to the one that solves this: Compare a new 10 second selfie video against a private encrypted database of similar videos and determine some results/outputs from video and audio. Elements: 1. The video selfie in portrait mode - person has to be decently placed within the video frame and decently illuminated. 2. The audio from reading of a random short phrase (must be readable 3-5 seconds) in the native language of the person (language can be selected from user input). Phrase can be randomly generated by AI, must never be the same phrase and the phrase prompted must match what the person reads, so audio must be analyzed. If the subject head is framed properly and illuminated properly, recording will start automatically. Within the 10 second recording, the person making the selfie will be prompted to read the random phrase out loud (in native language). The sound must be analyzed in real time so that the phrase read by the human is converted from speech to text and the output must match the sentence prompted by 90% accuracy or more, or he/she has to start all over again. RESULT: The result of each new comparison initiated when a new selfie video taken is compared against this database has to be an answer to these 2 simple cascading questions. 1. Is the subject in the video a human being? true or false - accuracy must be over 90% - cannot be fooled by manikins or by very obvious recordings played on another screen ^ this is required before saving the video to the encrypted database. 2. Is the subject a different human compared to the subjects from all other videos by analyzing both video image for face ID and sound for vocal timbre? if it's not different, must output all matches by @username value. ^ this is also required before saving the video to the encrypted database. I am open for suggestions to increase accuracy and prevent this system from being fooled/hacked. Also, let's make it open source. I can help with the front-end and hosting.

❤

🎉🎉🎉🎉

Tried: Working like a champ (My review: kzfaq.info/get/bejne/iM2ljc2itLmph6M.html)