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whisper.cpp

A high-performance local implementation of OpenAI's Whisper for on-device speech recognition, with broad platform and backend support.

Introduction

whisper.cpp is a lightweight C/C++ reimplementation of OpenAI’s Whisper focused on efficient on-device inference. It runs across a wide range of platforms (from Raspberry Pi to Apple Silicon) and supports multiple acceleration backends.

Key Features

  • Pure C/C++ implementation with minimal runtime dependencies for easy integration.
  • Multiple acceleration backends (Vulkan, CUDA, Core ML, OpenVINO, Moore Threads) and quantized model support to reduce memory usage.
  • Rich examples (CLI, stream, wasm, bench, server) and language bindings (Rust, JS, Java, etc.).

Use Cases

  • Local speech-to-text and offline voice assistants for privacy-sensitive applications.
  • ASR on resource-constrained devices or large-scale offline batch transcription.
  • Research and engineering experiments: benchmarking, quantization studies, and backend comparisons.

Technical Highlights

  • Uses ggml-format model weights with integer quantization (Q5/Q4 variants) and mixed precision to trade off quality vs. memory/performance.
  • Provides a C-style API and many bindings, Docker/CMake build flows, and prebuilt artifacts (XCFramework) for easy adoption.
  • MIT license, actively maintained community with extensive platform support and CI.

Comments

whisper.cpp
Resource Info
🌱 Open Source 🗣️ Text to Speech