Transcript Youtube videos and your own video/audio files. Uses Whisper.
Developer: https://github.com/11unx0
Install modules with python pip
git clone https://github.com/11unx0/Transcriptor
cd Transcriptor/
pip install -r requirements.txtYou can change device with --device and also for model change use --model.
Default device is cpu and default model is medium.
python3 main.py --device < cpu | cuda > --model < model >Example run with cpu & large-v3 model.
python3 main.py --device cpu --model large-v3python3 main.py --help
usage: main.py [-h] [--device {cpu,cuda}] [--model {tiny,base,small,medium,large,large-v2,large-v3}]
Transcript Youtube videos and your own video/audio files. Uses Whisper. Developer: https://github.com/11unx0
options:
-h, --help show this help message and exit
--device {cpu,cuda} Device to run Whisper model on. Choices are "cpu" or "cuda". Default is "cpu".
--model {tiny,base,small,medium,large,large-v2,large-v3}
Choose a model for Whisper. Default is "medium". More details for models:
https://github.com/11unx0/Transcriptor| Size | Parameters | English-only model | Multilingual model | Required VRAM | Relative speed |
|---|---|---|---|---|---|
| tiny | 39 M | tiny.en |
tiny | ~1 GB | ~32x |
| base | 74 M | base.en |
base | ~1 GB | ~16x |
| small | 244 M | small.en |
small | ~2 GB | ~6x |
| medium | 769 M | medium.en |
medium | ~5 GB | ~2x |
| large | 1550 M | N/A | large | ~10 GB | 1x |
| large-v2 | 1550 M | N/A | large-v2 | ||
| large-v3 | 1550 M | N/A | large-v3 |
This project is an experimental work. Users are responsible for any errors, damages, or system malfunctions that may occur. The creator of this project will not be held liable for any issues that arise from its use.
This project uses the following open-source libraries: