Port of OpenAI's Whisper model in C/C++

In plain words

Whisper.cpp is a C/C++ implementation of OpenAI's Whisper automatic speech recognition model. It enables developers to run speech-to-text inference with minimal dependencies—just two source files totaling under 8,000 lines of code. The project supports multiple platforms including iPhones, Raspberry Pi, and web browsers via WebAssembly, using CPU-only inference with optimizations for various processor architectures.

written from the facts on this page · September 2026

From the sources

Port of OpenAI's Whisper model in C/C++. Contribute to ggml-org/whisper.cpp development by creating an account on GitHub.

In the maker’s words, at launch

Hi HN, OpenAI recently released a model for automatic speech recognition called Whisper [0]. I decided to reimplement the inference of the model from scratch using C/C++. To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C++. The entire code…

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  This project is a Windows port of the whisper.cpp implementation: https://github.com/ggerganov/whisper.cpp Which in turn is a C++ port of OpenAI's Whisper automatic speech recognition (ASR) model: https://github.com/openai/whisper The implementation has no dependencies, usually much faster than realtime, and should hopefully work on most Windows computers in the world.

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  Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. Your data is stored locally on your device, and your audio goes directly from your machine to a local provider (Whisper C++, Speaches, etc.) or your chosen…

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