Goekdeniz-Guelmez/Local-NotebookLM

Health v2 · maintenance only

Adoption not part of the score

1027 stars · 127 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A local, open-source alternative to Google's NotebookLM that converts PDF documents into audio content like podcasts, summaries, and interviews. It pipelines PDF text extraction through LLMs (OpenAI, Groq, Ollama, LMStudio, Azure) and text-to-speech models, with a Gradio web UI, FastAPI server, and programmatic API.

Use cases

• turn pdf papers into podcast audio
• generate audio summaries of documents locally
• notebooklm alternative that runs offline
• convert research papers to listenable interviews
• create custom-style audio overviews from pdfs
• self-hosted document to speech pipeline

When to choose

• you want NotebookLM-style audio overviews without uploading documents to Google
• you prefer local LLMs and TTS for privacy
• you need a programmatic API or FastAPI server to embed document-to-audio in your own projects

When to avoid

• you need a polished one-click desktop app rather than a Python tool (though a separate stand-alone app exists)
• you lack the RAM/GPU resources for local models and don't want to use cloud APIs
• your source material isn't PDF-based text

Facets

application · maturity active

llm-inference tts pdf audio-processing rag http-server artificial-intelligence large-language-models speech-processing pdf developer-tools python cross-platform self-hosted notebooklm podcast-generation pdf-to-audio gradio fastapi local-llm text-to-speech audio docker

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markdown · JSON · MCP: product_card(name="Goekdeniz-Guelmez/Local-NotebookLM")