Insanely Fast Whisper (CLI)

TL;DR - 🎙️ Transcribe 300 minutes (5 hours) of audio in less than 10 minutes - with OpenAI's Whisper Large v2. Blazingly fast transcription is now a reality!⚡️

Features

✨ ASR Model: Choose from different 🤗 Hugging Face ASR models, including all sizes of openai/whisper and even use an English-only variant (for non-large models).

🚀 Performance: Customizable optimizations ASR processing with options for batch size, data type, and BetterTransformer, all from the comfort of your terminal! 😎

📝 Timestamps: Get an SRT output file with accurate timestamps, allowing you to create subtitles for your audio or video content.

Installation

Clone git repository with git clone https://github.com/ochen1/insanely-fast-whisper-cli
Switch to that folder with cd insanely-fast-whisper-cli/
(optional) Create a new Python environment with python -m venv venv
(optional) Activate environment with source venv/bin/activate
Install packages from requirements with pip install -r requirements.txt
Run program with python insanely-fast-whisper.py

Usage

insanely-fast-whisper --model openai/whisper-base --device cuda:0 --dtype float32 --batch-size 8 --better-transformer --chunk-length 30 your_audio_file.wav

model: Specify the ASR model (default is "openai/whisper-base").
device: Choose the computation device (default is "cuda:0").
dtype: Set the data type for computation ("float32" or "float16").
batch-size: Adjust the batch size for processing (default is 8).
better-transformer: Use BetterTransformer for improved processing (flag).
chunk-length: Define audio chunk length in seconds (default is 30).

Example

Transcribing an audio file with English-only Whisper model and returning timestamps:

insanely-fast-whisper --model openai/whisper-base.en your_audio_file.wav

Output

The tool will save an SRT transcription of your audio file in the current working directory.

License

This project is licensed under the MIT License.

Acknowledgments

This tool is powered by Hugging Face's ASR models, primarily Whisper by OpenAI.
Optimizations are developed by Vaibhavs10/insanely-fast-whisper.
Developed by @ochen1.

📞 Contact

Have questions or feedback? Feel free to create an issue!

🌟 Star this repository if you find it helpful!

🚀 Happy transcribing with Insanely Fast Whisper! 🚀

educationwarehouse/insanely-fast-whisper-dutch