TranscribeTool

This project is a simple tool that allows users to upload a video or audio file and extract text from it. It utilizes Streamlit for the user interface and ffmpeg for audio extraction, Whisper API for speech recognition, and yt-dlp for retrieving audio from a video url.

• Report issues here
• Request features here

Usage

1. Open https://transcribetool.streamlit.app/
2. Upload a video | audio file or provide url of a youtube video.
3. Wait for the transcription process to complete.
4. View the text extracted from the file.

Installation

To run this project locally, follow these steps:

1. Clone this repository to your local machine.
2. Navigate to the project directory.
3. Create and activate a virtual environment (optional but recommended):

python3 -m venv venv
source venv/bin/activate

4. Install the required dependencies using pip:

pip install -r requirements.txt

5. Run the following command to start the Streamlit app:

streamlit run main.py 

6. Open your web browser and go to the URL provided by Streamlit.
7. Upload a video | audio file or provide url of a video.
8. Wait for the transcription process to complete.
9. View the text extracted from the file.

Acknowledgements

This project uses the following libraries:

• ffmpeg-python for audio extraction.
• Streamlit for building the web application.
• Whisper for speech recognition.
• yt-dlp for retrieving audio from a video url.

License

This project is licensed under the GPL-3.0 License - see the LICENSE file for details.