Vaibhavs10/insanely-fast-whisper

Health v2 · maintenance only

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13063 stars · 960 forks observed · 2026-10-02

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A CLI tool for transcribing audio files on-device using OpenAI's Whisper models, powered by Hugging Face Transformers, Optimum, and Flash Attention 2. It achieves extremely fast transcription speeds (e.g., 150 minutes of audio in under 2 minutes on an A100 GPU) and supports GPU and Apple MPS devices.

Use cases

• transcribe audio files to text from the terminal
• convert podcast recordings into transcripts
• generate subtitles from video or audio
• batch transcribe long audio quickly on a GPU
• run Whisper large-v3 locally without cloud APIs
• transcribe audio on a Mac with Apple Silicon MPS

When to choose

• you need fast, on-device speech-to-text with Whisper models
• you have a CUDA GPU or Apple Silicon and want to avoid cloud transcription costs
• you want a simple pipx-installable CLI rather than writing Python code
• you need to transcribe long recordings in minutes instead of hours

When to avoid

• you have no GPU or Apple Silicon and need fast transcription
• you need a full-featured transcription service with speaker diarization and editing
• you want a GUI application rather than a command-line tool
• you need real-time streaming transcription

Facets

cli-tool · maturity active

speech-recognition cli machine-learning llm-inference speech-processing artificial-intelligence cli python windows whisper transcription audio-to-text transformers flash-attention hugging-face natural-language-processing command-line macos linux gpu

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