Audio Transcriber

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32
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Transforms audio recordings into professional Markdown documentation and intelligent meeting summaries using local AI models.

This skill automates the end-to-end process of converting audio and video files into structured, actionable documentation directly within your development environment. By leveraging optimized engines like Faster-Whisper and OpenAI Whisper, it identifies speakers, extracts technical metadata, and generates comprehensive meeting minutes including categorized decisions and action items. It operates universally across projects without requiring external API keys or complex configuration, making it an essential tool for developers and project managers who need to turn raw conversations into searchable, professional project assets.

Características Principales

01Detailed metadata reporting including speaker identification and timestamped segments.
02High-speed local transcription using Faster-Whisper or OpenAI Whisper engines.
03Automatic generation of structured meeting minutes and executive summaries.
04Multi-format support with automatic conversion for MP3, WAV, M4A, OGG, and FLAC.
0532 GitHub stars
06Intelligent extraction of action items, decisions, and discussion topics via parallel agents.

Casos de Uso

01Converting team meeting recordings into organized action logs and searchable documentation.
02Generating subtitles and captions in SRT or VTT formats for video content analysis.
03Transcribing technical interviews or lectures for knowledge base integration.