The city of free, open AI tools My Stack
ForkopolisThe free store and magazine for open AI

Free Market / Voice

Voice4.5

whisper.cpp iconwhisper.cpp

The score measures project health and popularity. It is not a hands-on review. How it works

A lightweight version of Whisper that transcribes quickly on ordinary laptops with no graphics card.

  • Some setup
  • Works on Windows, Mac, Linux

The openness label

Code
Open source, MIT
Models
Open weights
Runs
On your computer
Real cost
Free

What you need to run it

About 4 GB of memory. No graphics card needed.

These are our estimates for comfortable use. Enter your computer's specs to see a verdict on every tool.

  • 55,103 stars on GitHub
  • Last updated 2026-11-10
  • Latest release v1.9.5

Quick answers

Is whisper.cpp free?

Yes. whisper.cpp is free and open source, released under the MIT license. There is nothing to buy and no subscription.

Does whisper.cpp run on my own computer?

Yes. whisper.cpp runs entirely on your own computer, so your files and prompts stay with you.

What do I need to run whisper.cpp?

About 4 GB of memory. No graphics card needed. It works on Windows, Mac, and Linux.

Is whisper.cpp still maintained?

Yes. The whisper.cpp project was last updated on 2026-11-10.

What paid tools can whisper.cpp replace?

People use whisper.cpp as a free alternative to VEED and CapCut.

Checked by Forkopolis on November 11, 2026.

More in Voice

Whisper screenshot
Voice4.7

Whisper iconWhisper

Turns speech into text. Transcribes and translates recordings, interviews, and video audio.

  • Some setup
  • Windows · Mac · Linux
Code
Open source, MIT
Models
Open weights
Runs
On your computer
Real cost
Free
Get it
RVC WebUI screenshot
Voice4.4

RVC WebUI iconRVC WebUI

Converts one voice into another, for dubbing and singing voice work.

  • Some setup
  • Windows · Linux
Code
Open source, MIT
Models
Open weights
Runs
On your computer
Real cost
Free
Get it
faster-whisper screenshot
Voice4.3

faster-whisper iconfaster-whisper

A rebuilt Whisper engine that transcribes several times faster using less memory.

  • Some setup
  • Windows · Mac · Linux
Code
Open source, MIT
Models
Open weights
Runs
On your computer
Real cost
Free
Get it