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Whisper Cpp Realtime Transcription Pipeline

ASecurity

Streams audio from PulseAudio or ALSA devices into whisper.cpp for real-time speech-to-text with word-level timestamps. Outputs SRT/VTT subtitles and JSON transcripts simultaneously.

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  • Added June 8, 2026
ai-agentspythongobashgitsecurity

Works with

  • claude code

Security analysis

A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

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Scanned June 8, 2026

npx -y skills add agentskillexchange/skills --skill whisper-cpp-realtime-transcription-pipeline --agent claude-code

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SKILL.md
---
name: "Whisper.cpp Real-Time Transcription Pipeline"
slug: "whisper-cpp-realtime-transcription-pipeline"
description: "Streams audio from PulseAudio or ALSA devices into whisper.cpp for real-time speech-to-text with word-level timestamps. Outputs SRT/VTT subtitles and JSON transcripts simultaneously."
github_stars: 97775
verification: "security_reviewed"
source: "https://github.com/openai/whisper"
category: "Media & Transcription"
framework: "Claude Code"
tool_ecosystem:
  github_repo: "openai/whisper"
  github_stars: 97775
---

# Whisper.cpp Real-Time Transcription Pipeline

Streams audio from PulseAudio or ALSA devices into whisper.cpp for real-time speech-to-text with word-level timestamps. Outputs SRT/VTT subtitles and JSON transcripts simultaneously.

## Installation

Use the upstream install or setup path that matches your environment:
- pip install -U openai-whisper
- pip install git+https://github.com/openai/whisper.git
- pip install --upgrade --no-deps --force-reinstall git+https://github.com/openai/whisper.git
- brew install ffmpeg

Requirements and caveats from upstream:
- We used Python 3.9.9 and [PyTorch](https://pytorch.org/) 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The codebase also depends o...
- Alternatively, the following command will pull and install the latest commit from this repository, along with its Python dependencies:
- It also requires the command-line tool [ffmpeg](https://ffmpeg.org/) to be installed on your system, which is available from most package managers:

Basic usage or getting-started notes:
- [[Colab example]](https://colab.research.google.com/github/openai/whisper/blob/master/notebooks/LibriSpeech.ipynb)
- To update the package to the latest version of this repository, please run:
- bash

- Source: https://github.com/openai/whisper
- Extracted from upstream docs: https://raw.githubusercontent.com/openai/whisper/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/whisper-cpp-realtime-transcription-pipeline/)

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