Skip to content

This project enables users to transcribe audio files into text using the Whisper ASR (Automatic Speech Recognition) library. It consists of a Flask application in Python for transcription and an Express.js application in Node.js for file uploads.

Notifications You must be signed in to change notification settings

krishnadobhal/Speech-to-text--nodejs--any-language

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Audio Transcription Project

This project enables users to transcribe audio files into text using the Whisper ASR (Automatic Speech Recognition) library. It consists of a Flask application in Python for transcription and an Express.js application in Node.js for file uploads.

Documentation

Whisper Documents

Run Locally

Donwload Python

  https://www.python.org/downloads/

Whisper Package

  pip install -U openai-whisper

It also requires the command-line tool ffmpeg to be installed on your system, which is available from most package managers:

  choco install ffmpeg

Clone the project

  git clone https://github.com/krishnadobhal/Speech-to-text--nodejs--any-language.git

Install dependencies

  npm install

Start the server

  node app.js
  python main.py

About

This project enables users to transcribe audio files into text using the Whisper ASR (Automatic Speech Recognition) library. It consists of a Flask application in Python for transcription and an Express.js application in Node.js for file uploads.

Resources

Stars

Watchers

Forks

Releases

No releases published