GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
whisper.cpp is a C++ port of OpenAI's Whisper model, designed for speech-to-text tasks with a focus on inference. It is licensed under MIT and categorized under Speech & Audio and Inference & Serving.
Good fit when
- Use whisper.cpp when you need a C++ implementation of the Whisper model for speech recognition and transcription tasks.
- Choose this tool if you are working in an environment where C++ is preferred over Python, offering potential performance benefits and easier integration with existing C++ projects.
Avoid when
- Avoid using whisper.cpp if your project requires the full capabilities of the original Python implementation, including training or advanced model customization.
- Do not use this tool if you are working in a Python-centric environment where the overhead of integrating a C++ component outweighs the benefits.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
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Backing
Company context for ggml. Display-only - separate from trust and ranking.
- Company
- ggml·GitHub org profile·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
git clone https://github.com/ggml-org/whisper.cppHow it fits your stack(9)
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Evidence and technical details
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Overview
A C++ implementation of OpenAI's Whisper model for speech recognition and transcription, focusing on inference.
Capability facts
- Languages
- c++
Source: github.language · Sep 18, 2026
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README
Quick start First clone the repository: Navigate into the directory: Then, download one of the Whisper models converted in format. For example: Now build the whisper cli example and transcribe an audio file like this: ```bash
For agents
This page has a .md twin and JSON over the API.