Description:
Port of OpenAI's Whisper model in C/C++
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Type: Formula
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Latest Version: 1.8.2@0
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Tracked Since: Dec 23, 2025
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Links:
Homepage |
GitHub |
formulae.brew.sh
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Stars: 45,334 |
Forks: 5,048 |
Language: C++ |
Category: Ai ml
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Tags:
speech-recognition
ai
offline
c-plus-plus
transcription
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Install:
brew install whisper-cpp
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About:
whisper-cpp is a high-performance, portable C/C++ implementation of OpenAI's Whisper automatic speech recognition (ASR) model. It leverages the ggml library for efficient inference on CPU, making it ideal for offline, embedded, or resource-constrained environments. The project provides bindings for various languages and a command-line interface for transcribing audio files.
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Key Features:
- Pure C/C++ implementation for portability and performance
- Optimized for CPU inference via the ggml tensor library
- Supports various Whisper model sizes (tiny, base, small, medium, large)
- Includes examples and bindings for Python, Node.js, and more
- Command-line interface for easy audio file transcription
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Use Cases:
- Transcribing audio recordings or podcasts locally without cloud services
- Integrating speech-to-text capabilities into C++ applications or embedded systems
- Batch processing of audio files for research or data analysis
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Alternatives:
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openai-whisper
– Official Python implementation requiring Python ecosystem and typically GPU for speed
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faster-whisper
– Python implementation optimized with CTranslate2 for faster CPU/GPU inference
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| Dec 23, 2025 9:34pm |
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