Audio Transcriber & Meeting Summarizer

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Transforms audio recordings into professional Markdown documentation with intelligent summaries and speaker identification.

This skill automates the conversion of raw audio files into structured, actionable documentation within your workspace. It intelligently detects and utilizes local transcription engines like Faster-Whisper or OpenAI Whisper to generate high-accuracy text without requiring manual configuration. Beyond simple speech-to-text, it extracts technical metadata, performs speaker diarization, and leverages LLM integration to generate executive summaries, categorized topics, and action items. Whether you are documenting meetings, interviews, or lectures, this skill provides a zero-config solution for turning sound into searchable, professional Markdown reports.

Características Principales

01Automated meeting minutes generation including decisions and action items.
02Intelligent speaker diarization and timestamped topic clustering.
03Universal audio format support with automatic ffmpeg conversion.
04Comprehensive metadata extraction including duration, language, and file statistics.
05High-performance transcription via Faster-Whisper and OpenAI Whisper engines.
0615 GitHub stars

Casos de Uso

01Generating searchable transcripts and executive summaries for technical interviews.
02Converting project syncs and meetings into structured Markdown documentation.
03Creating subtitles and documentation for video presentations or lectures.