Bindings for many languages
A high-performance C/C++ port of OpenAI's Whisper model for efficient, cross-platform speech recognition.
What is Bindings for many languages?
whisper.cpp is a high-performance, portable C/C++ implementation of OpenAI's Whisper automatic speech recognition model. It enables efficient, offline transcription and translation of audio files across diverse hardware, from Apple Silicon and x86 CPUs to NVIDIA GPUs and mobile devices. The project solves the need for a lightweight, dependency-free ASR solution that can run fully on-device without cloud services.
Developers and researchers building speech-enabled applications that require offline, low-latency, or privacy-focused transcription on embedded systems, mobile apps, servers, or edge devices. It's also suitable for those needing to deploy Whisper in resource-constrained environments.
Developers choose whisper.cpp for its exceptional performance, minimal footprint, and broad hardware support. Unlike the original Python implementation, it offers zero-dependency deployment, optimized inference across CPU/GPU architectures, and the ability to run completely offline on everything from smartphones to high-performance servers.
Overview
Port of OpenAI's Whisper model in C/C++
Use Cases
Best For
- Adding offline speech-to-text to mobile iOS or Android applications
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