Whisper Auto Transcription

A simple and easy-to-use audio transcription app that uses OpenAI's Whisper model to transcribe audio files with your GPU, free of cost (except electricity!).

Tested on Windows 11 with an RTX 3090 and RTX 4090.

Important: Make sure you have the correct version of CUDA installed for your GPU. See this link for more information on properly installing whisper local to work with CUDA: openai/whisper#47

Requirements

• Python 3.10.10

Features

• Supports MP3, WAV, M4A and other common audio formats.
• Automatically transcribes all valid audio files in the input folder.
• Calculates the time each transcription took.
• Saves transcriptions and in separate text files in the output folder.

Installation

1. Clone this repository and navigate to the project folder

git clone [email protected]:sdevgill/whisper-auto.git
cd whisper-auto

2. Create a virtual environment

python -m venv .venv

3. Activate the virtual environment (Poweshell)

.\.venv\Scripts\Activate.ps1

Usage

1. Create an .env file in the project folder from the .env.example file

Copy-Item .env.example -Destination .env

2. Add your OpenAI API key to the .env file

OPENAI_API_KEY=YOUR_API_KEY

3. Create an input folder in the project folder and add your audio files to it

4. Run the app

python app.py