Revolutionary Real-Time Speech-to-Text Transcription Technology Designed from the Ground Up by Fast AI

Posted by

Fast AI Real Time Speech to Text Transcription – Built From Scratch

INCREDIBLE Fast AI Real Time Speech to Text Transcription – Built From Scratch

In today’s fast-paced world, technology is advancing at an unprecedented rate. One such incredible advancement is the development of fast AI real-time speech to text transcription software. This innovative technology allows for the instantaneous conversion of spoken words into written text, revolutionizing the way we communicate and interact with digital devices.

What makes this technology even more remarkable is the fact that it has been built from scratch, showcasing the ingenuity and creativity of the developers behind it. By leveraging the power of artificial intelligence, machine learning, and natural language processing algorithms, this software is able to accurately transcribe speech in real-time with incredible speed and accuracy.

With the ability to transcribe speech in multiple languages and dialects, this technology has the potential to break down language barriers and improve communication across cultures and countries. Whether you are conducting a business meeting, recording a podcast, or dictating notes, this real-time speech to text transcription software can save you time and effort by eliminating the need for manual transcription.

Furthermore, the software can be customized and tailored to meet the specific needs of different industries and professions. From legal and medical transcription to educational and entertainment purposes, the possibilities are endless with this cutting-edge technology.

Overall, the development of fast AI real-time speech to text transcription software is a game-changer in the world of communication and technology. Built from scratch by dedicated and innovative developers, this technology has the potential to transform the way we interact with digital devices and revolutionize the way we communicate. Get ready to experience the future of speech-to-text transcription like never before!

0 0 votes
Article Rating
13 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
@skaramicke
8 months ago

Now all it needs is a separate AI to also separate different voices from eachother to annotate with "name: spoken text".

@fabioriccio6429
8 months ago

For Trascribe conversation real time, which GPU suggest ? Do i need also huge ram power ?

@mariusorani
8 months ago

Great! keep up the good work. 👌Does it also transcribe different languages other than English?

@fabriziocasula
8 months ago

why that need aws?? is it possible to use another system?

@grymvision3094
8 months ago

Great video. It always comes down to the money though… How much does "x" time of voice transcription cost with this method?

@mubashirsidiki7102
8 months ago

Could you also implement 'text-to-speech' using a whisper?

I'd like to streamline the process where I usually input text into a text generation bot, then convert the response into audio, and finally listen to it

@mubashirsidiki7102
8 months ago

Could you also implement 'text-to-speech' using a whisper?

I'd like to streamline the process where I usually input text into a text generation bot, then convert the response into audio, and finally listen to it

@ItsWesSmithYo
8 months ago

The ChatGPT app does a pretty wicked job job of carrying on conversations among myself and friends in multiple languages. I’m actually blown away by it

@alexamand2312
8 months ago

Fast speech to text but using s3 to store txt file

@DevMikel
8 months ago

Great tutorial! 💯💯

@user-zq9bp5yv6z
8 months ago

clean and precise explanation video.🎉

I wonder
Is there way sending the audio data to replicate server for processing without storing them in aws in the first place?

@ladonteprince
8 months ago

Hi Ai dev im a huge fan. I followed to the end but when I try to run it nothing shows up in the transcription. do you know why that might be?

@scitechtalktv9742
8 months ago

Which languages does this app support? For example: can somebody speak Ukrainian language to it, and output is English text?