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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.

Open Source
Desktop
Voice
B2B
CLI
On-Device / Edge
Supports Local Models
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About

What It Is

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.

What to Know

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.

Key Features
Ports OpenAI Whisper to plain C/C++
Runs fully offline on-device
Supports CPU-only inference
Uses Apple Silicon acceleration via Metal and Core ML
Supports AVX, ARM NEON, and POWER VSX optimizations
Use Cases
Embedding offline speech-to-text in a desktop app
Building an on-device voice assistant
Adding transcription to a mobile app on iOS or Android
Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence
Last evaluated: Mar 31, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free: Open-source project under the MIT license
  • Pro: Not available
  • Enterprise: Not available
Details
AddedMarch 31, 2026
RefreshedMarch 31, 2026
Agenticness
Quick Facts
DeploymentOn-device / local
AutonomyCopilot (human-in-loop)
Model supportSingle model
Open sourceYes
Team supportIndividual only
Pricing modelFree / open source
Interfacecli, api
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