https://github.com/kvothesson/whisper-transcriber
Web application that transcribes YouTube videos using OpenAI's Whisper model. Users input a YouTube URL; the app downloads the audio, performs transcription, and displays results in real-time. Built with Flask, yt-dlp, and the Whisper library, it offers a simple and efficient interface for audio-to-text conversion from YouTube content.
https://github.com/kvothesson/whisper-transcriber
ai python transcriber whisper
Last synced: 4 months ago
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Web application that transcribes YouTube videos using OpenAI's Whisper model. Users input a YouTube URL; the app downloads the audio, performs transcription, and displays results in real-time. Built with Flask, yt-dlp, and the Whisper library, it offers a simple and efficient interface for audio-to-text conversion from YouTube content.
- Host: GitHub
- URL: https://github.com/kvothesson/whisper-transcriber
- Owner: kvothesson
- Created: 2024-08-03T22:18:21.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-14T04:53:50.000Z (almost 2 years ago)
- Last Synced: 2025-03-19T05:29:33.253Z (about 1 year ago)
- Topics: ai, python, transcriber, whisper
- Language: Python
- Homepage:
- Size: 32.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# YouTube Transcriber
## Description
This project is a web application that allows users to transcribe YouTube videos. It uses Flask as the backend framework and JavaScript for frontend interactions.
## Features
- Transcription of YouTube videos from the video URL
- Storage of transcriptions for later access
- Simple and easy-to-use user interface
## Prerequisites
- Python 3.7+
- Flask
- Other dependencies as listed in `requirements.txt`
## Installation
1. Clone this repository:
```
git clone https://github.com/ezequielsobrino/whisper-transcriber.git
```
2. Navigate to the project directory:
```
cd whisper-transcriber
```
3. Install the dependencies:
```
pip install -r requirements.txt
```
## Usage
1. Start the application:
```
python run.py
```
2. Open a browser and go to `http://localhost:5000`
3. Enter the URL of a YouTube video in the text field
4. Click "Transcribe" to get the transcription
## Project Structure
```
whisper-transcriber/
│
├── app/
│ ├── static/
│ │ ├── css/
│ │ │ └── styles.css
│ │ └── js/
│ │ └── script.js
│ ├── templates/
│ │ ├── base.html
│ │ ├── index.html
│ │ └── transcriptions.html
│ ├── __init__.py
│ ├── config.py
│ ├── main.py
│ └── routes/
│ ├── main_routes.py
│ └── transcription_routes.py
│
├── transcriptions/
├── requirements.txt
├── run.py
└── README.md
```
## Dependencies
The project relies on the following main dependencies:
```
numpy==1.24.3
torch==2.2.0
torchaudio==2.2.0
torchvision==0.17.0
openai-whisper
flask
yt-dlp
werkzeug
```
For a complete list of dependencies, please refer to the `requirements.txt` file.
## Contributing
Contributions to this project are welcome. Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License.