# Insanely Fast Whisper: Blazing-Fast Audio Transcription CLI

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Insanely Fast Whisper is an efficient command-line interface for transcribing audio files on-device using OpenAI's Whisper models. Powered by Hugging Face Transformers, Optimum, and Flash Attention 2, it delivers blazing-fast performance, capable of transcribing hours of audio in just minutes. This tool provides a streamlined and optimized solution for high-speed speech-to-text conversion.

GitHub: https://github.com/Vaibhavs10/insanely-fast-whisper
OSRepos URL: https://osrepos.com/repo/vaibhavs10-insanely-fast-whisper

## Summary

Insanely Fast Whisper is an efficient command-line interface for transcribing audio files on-device using OpenAI's Whisper models. Powered by Hugging Face Transformers, Optimum, and Flash Attention 2, it delivers blazing-fast performance, capable of transcribing hours of audio in just minutes. This tool provides a streamlined and optimized solution for high-speed speech-to-text conversion.

## Topics

- whisper
- audio transcription
- speech recognition
- machine learning
- cli tool
- python
- flash attention

## Repository Information

Last analyzed by OSRepos: Wed Feb 18 2026 20:01:07 GMT+0000 (Western European Standard Time)
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## Content

## Introduction
`insanely-fast-whisper` is a highly optimized command-line interface (CLI) for transcribing audio files using OpenAI's powerful Whisper models directly on your device. This project stands out for its incredible speed, capable of transcribing 150 minutes of audio in under 98 seconds when utilizing Whisper Large v3. It achieves this remarkable performance by integrating cutting-edge technologies such as Hugging Face Transformers, Optimum, and Flash Attention 2, making blazingly fast transcription a reality for developers and users alike.

## Installation
To get started with `insanely-fast-whisper`, the recommended method is to use `pipx`. If you don't have `pipx` installed, you can install it first:

bash
pip install pipx
# or on macOS
brew install pipx


Then, install `insanely-fast-whisper`:

bash
pipx install insanely-fast-whisper


If you encounter issues with Python 3.11.XX parsing the version incorrectly, you can force the installation of the latest version:

bash
pipx install insanely-fast-whisper --force --pip-args="--ignore-requires-python"


## Examples
Once installed, transcribing audio files is straightforward.

Transcribe a file:
bash
insanely-fast-whisper --file-name <filename or URL>

*Note: For macOS users, remember to add `--device-id mps` flag.*

Utilize Whisper-large-v3 with Flash Attention 2 for maximum speed:
bash
insanely-fast-whisper --file-name <filename or URL> --flash True


Transcribe using Distil-Whisper models:
bash
insanely-fast-whisper --model-name distil-whisper/large-v2 --file-name <filename or URL>


You can also run it without a full installation using `pipx run`:

bash
pipx run insanely-fast-whisper --file-name <filename or URL>


For a full list of options and their defaults, run `insanely-fast-whisper --help`.

## Why Use It
`insanely-fast-whisper` offers a compelling solution for anyone needing high-performance audio transcription. Its primary advantage is unparalleled speed, significantly reducing transcription times compared to standard Whisper implementations. The CLI is highly opinionated and optimized for NVIDIA GPUs and Apple Silicon (MPS), providing robust support across these platforms. It simplifies the process of leveraging advanced optimizations like Flash Attention 2 and various Whisper models, including Distil-Whisper, directly from your terminal. Whether you're a researcher, developer, or content creator, this tool provides an efficient and accessible way to convert speech to text with remarkable speed.

## Links
*   [GitHub Repository](https://github.com/Vaibhavs10/insanely-fast-whisper){:target="_blank"}