whisper.cpp
Fast offline speech recognition in portable C/C++
whisper.cpp ports OpenAI’s Whisper ASR model to plain C/C++ for local transcription. It is built for developers who want to embed speech-to-text into apps, scripts, or devices without relying on cloud inference.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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What's happened with whisper.cpp lately
- Score changeRubric upgrade v3_0 → v3.1: score 2/32 → 3/362 → 3/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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About
whisper.cpp is an open-source speech recognition library and command-line tool that runs OpenAI’s Whisper model in C/C++. It is aimed primarily at developers who need local, embeddable transcription for desktop, mobile, web, embedded, or server environments.
This is not an autonomous agent platform; it does one job well: transcribe audio. It can be a strong fit if you want offline, on-device speech-to-text with low overhead and broad platform support, but it is not meant for workflow automation, browser control, or multi-step task execution.
Responds to prompts but takes no autonomous action.
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