whisper.cpp

whisper.cpp is a free, open-source port of OpenAI's Whisper in C and C++. It runs Whisper's speech-to-text AI models with high speed and low memory use. It works on plain CPUs with no GPU needed, but also supports GPUs from Nvidia, AMD, and Apple. The project runs on Mac, Windows, Linux, iOS, and Android, and offers a C-style API plus bindings for many languages. Developers use it to add offline transcription to apps and devices. It suits programmers who need fast, private speech recognition.

Key Features

1. Fast C/C++ Code

Plain C/C++ with no heavy dependencies. Runs Whisper models at high speed with low memory.

2. CPU-First

Runs on plain CPUs with no GPU required. Model quantization keeps downloads small and inference fast.

3. GPU Support

Supports Nvidia, AMD, Intel, and Apple GPUs. Vulkan, Metal, and ROCm speed up the larger models.

4. Many Platforms

Runs on Mac, Windows, Linux, iOS, and Android. Language bindings exist for Java and more.

5. C-Style API

Offers a simple C API for app developers. Embed offline transcription into your own software.

6. Voice Activity Detection

Built-in VAD (voice activity detection) skips silence to speed up processing. It helps with long recordings and live use.

Frequently Asked Questions (FAQ)

What is whisper.cpp used for?

Developers use whisper.cpp to add offline speech-to-text to apps, tools, and devices. It powers many free transcription apps that run on your own hardware.

Do I need a GPU to run it?

No. whisper.cpp runs on plain CPUs, and model quantization keeps things fast. GPUs from Nvidia, AMD, Intel, and Apple speed up larger models.

Is whisper.cpp the same as OpenAI's Whisper?

It runs the same Whisper AI models, but the code is rewritten in C/C++ for speed. It is a community project under the MIT license.

Can I use it in my own app?

Yes. The MIT license allows commercial use, and a C-style API plus language bindings make it easy to embed.

How is it different from MacWhisper or Vibe?

Those are ready-made apps built on the same Whisper models. whisper.cpp is the underlying engine for developers who want to build their own.

Conclusion

whisper.cpp brings Whisper speech recognition to any device with fast C/C++ code. CPU-first design, broad platform support, and an MIT license make it a developer favorite. It suits programmers building offline transcription into apps. It powers many free apps, including desktop transcribers that run fully offline. Find releases, docs, and examples on its GitHub page today.