Parakeet Podcast Processor (P³) v0.1.0
The world's fastest podcast processing system for Apple Silicon
🚀 What's New
This is the initial release of P³, a revolutionary podcast processing system that leverages:
- ⚡ Parakeet MLX: 30x faster transcription than Whisper on Apple Silicon
- 🧠 Ollama Integration: Local LLM analysis with structured data extraction
- 📥 Smart Audio Pipeline: RSS monitoring + ffmpeg normalization
- 💾 Efficient Storage: DuckDB for fast analytical queries
- 📊 Rich Outputs: Markdown and JSON digest generation
- 🔧 Professional CLI: Complete command-line interface
📈 Performance
- Complete Pipeline: ~2 minutes for full podcast processing
- Audio Download: ~40 seconds per episode
- Parakeet Transcription: ~28 seconds (lightning fast!)
- Ollama Analysis: ~46 seconds for structured summarization
- Export: <1 second
🛠️ Quick Start
# Prerequisites: macOS + Apple Silicon + ffmpeg + Ollama
brew install ffmpeg
# Install Ollama from https://ollama.com, then: ollama pull llama3.2
# Setup P³
python3 -m venv venv && source venv/bin/activate
pip install -e .
p3 init
# Configure feeds in config/feeds.yaml, then run:
p3 fetch && p3 transcribe && p3 digest && p3 export🏗️ Architecture
RSS → ffmpeg → Parakeet MLX → Ollama → DuckDB → Export
100% Local Processing - No API keys required, complete privacy.
🔗 Links
Perfect for researchers, journalists, content creators, or anyone processing large volumes of podcast content.