IF
Audio & Voice

Insanely Fast Whisper

A tool to transcribe audio files using OpenAI's Whisper Large V3.

At a glance

Price not confirmed · Source review 2026-10-31
Price & billing

No pricing is shown; the repository is public and open source.

Free allowance

Not separately confirmed. Check the current plan before relying on a free allowance.

Best suited to

Developers who need fast on-device Whisper transcription with GPU hardware.

Fit is editorial guidance, not a measured result.
Platforms

Access: not separately verified. Operating systems not separately verified.

Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.

No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.

What to know before choosing

Good fit

Developers who need fast on-device Whisper transcription with GPU hardware.

Limits and trade-offs

CLI repository, not a hosted app; benchmarks are the author's own; fork of another repository; needs local GPU setup.

Plans and free allowances

No pricing is shown; the repository is public and open source.

Evidence

insanely-fast-whisper repository page ↗ (reviewed 2026-10-31)

Official published page review; no authenticated product test

Dates: Last reviewed 2026-10-31. Last reviewed is the latest source or editorial review date; it is not a content-change date.

A closer look at Insanely Fast Whisper

insanely-fast-whisper is an opinionated CLI to transcribe audio files with Whisper on-device, powered by Transformers, Optimum and flash-attn, claiming 150 minutes of audio transcribed in under 98 seconds with Whisper Large v3 on an Nvidia A100 using fp16, batching and Flash Attention 2.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Insanely Fast Whisper

  • Developers who need fast on-device Whisper transcription and can run a GPU environment.
  • Teams transcribing long audio files who want batching and Flash Attention speedups.
  • Users who prefer open-source CLI tooling over a hosted transcription subscription.

When to choose something else

  • Non-technical users who want a one-click transcription app, since this is a CLI repository.
  • Users without GPU access, since the speed claims depend on GPU hardware.
  • Anyone who needs a hosted service with support, since this is a community repository.

A practical starting workflow

  1. Clone the repository and set up the environment with its notebooks and source.
  2. Point the CLI at an audio file.
  3. Run transcription with Whisper Large v3 and the optimized settings.
  4. Collect the transcript output for downstream use.

Check before committing

  • The source is a GitHub repository page, not a product marketing page; setup requires a local environment with GPU tooling.
  • Benchmarks are the author's own runs on an Nvidia A100 80GB and a Colab T4, not independent measurements.
  • This repository is a fork of Vaibhavs10's insanely-fast-whisper, per the page header.

Common questions

What is insanely-fast-whisper?

It is an opinionated CLI to transcribe audio files with Whisper on-device, powered by Transformers, Optimum and flash-attn.

insanely-fast-whisper repository page ↗

How fast is it?

The headline claim is transcribing 150 minutes (2.5 hours) of audio in less than 98 seconds with Whisper Large v3, using fp16, batching and Flash Attention 2 on an A100.

insanely-fast-whisper repository page ↗

How is it distributed?

It is a public repository with 1.9k stars and 105 forks at review time, with notebooks, source, tests and a Colab notebook included.

insanely-fast-whisper repository page ↗

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Sources and checks

Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.