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Insanely Fast Whisper

Command-line tool for fast on-device Whisper audio transcription

  • AI media
  • AI models and runtimes
View on GitHub

What it is

A command-line program that transcribes or translates audio files locally using OpenAI's Whisper models through Hugging Face Transformers, with batching, fp16, and optional Flash Attention 2 to cut processing time. It runs on NVIDIA GPUs and Apple Silicon Macs, outputs JSON with chunk or word-level timestamps, and can label speakers via pyannote diarization. People with long recordings, such as podcasts or interviews, use it to get transcripts quickly without sending audio to a cloud service.

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Facts

Stars
13,053 GitHub stars.
13,053

Forks
955
Commits
180
Contributors
20
Language
Jupyter Notebook
License
Apache-2.0
Last commit
May 27, 2024
On GitHub since
October 2023
Platforms
macOS, Windows, Linux, CLI
Self-hostable
No
Alternative to
Otter.ai, Rev
Author
vb
Tags
  • speech-to-text
  • translation
  • local-ai
  • gpu-computing

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsInsanely Fast WhisperNov 14, 2023 · 166 points · 43 comments (opens Hacker News in a new tab)
  • Hacker NewsInsanely Fast Whisper - Blazingly fast audio transcriptionsMar 27, 2026 · 3 points · 0 comments (opens Hacker News in a new tab)