Repodify: an open-source, fully local AI tool that condenses 10 podcast episodes into one listenable recap
behradkhodayar · reddit · 2026-09-03
A developer open-sourced Repodify (MIT): a fully self-hosted AI podcast summarizer with optional BYOK per stage.
- Motivation: Wanting to listen through the history of ML podcasts chronologically, the author calculated it would take a decade even at 2X — so they built a tool that condenses episodes (e.g. 10 into 1) into a coherent spoken narrative at a configurable target length.
- Pipeline: download → transcribe (faster-whisper) → speaker diarization with cross-episode clustering (pyannote) → LLM chronological summarization → spoken script → TTS synthesis (local F5-TTS/Kokoro, or OpenRouter/Anthropic via BYOK).
- Architecture: FastAPI + arq worker + LangGraph pipeline + React PWA, launched with one ./launch command; jobs pause at each ML stage to choose local GPU vs hosted models.
- Safety: voice cloning is opt-in and off by default; output is always labeled synthetic, with a spoken disclaimer in a non-cloned voice plus watermarking.
- Roadmap: podcast content search, translation, ELI5 augmentation.
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