# Goekdeniz-Guelmez/Local-NotebookLM

Googles NotebookLM but local

Repository: https://github.com/Goekdeniz-Guelmez/Local-NotebookLM
Canonical: https://ross.abutalabs.com/products/local-notebooklm
Language: Python
License: Apache-2.0
License Family: permissive
Topics: anthropic-api, anthropic-claude, dl, elevenlabs-api, gemini-api, gen, groq-api, ml, notebook, openai, openai-api, python3
Last push: 2026-05-08T18:22:33+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 81, release rhythm 83, longevity 44
- inputs: {"age_days": 622, "days_push": 117, "days_rel": 117, "gap_med": 0.0, "n_releases_24m": 15}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1027, forks 127 (observed 2026-08-28T04:03:16.907247+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: llm-inference, tts, pdf, audio-processing, rag, http-server
- domain: artificial-intelligence, large-language-models, speech-processing, pdf, developer-tools
- platform: python, cross-platform, self-hosted
- tags: notebooklm, podcast-generation, pdf-to-audio, gradio, fastapi, local-llm, text-to-speech, audio, docker

## Member repositories
- Goekdeniz-Guelmez/Local-NotebookLM (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.907247+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:50.189988+00:00, confidence not recorded.
  - readme: https://github.com/Goekdeniz-Guelmez/Local-NotebookLM (fetched 2026-08-28T04:03:16.907247+00:00, sha 6ec7134d82e6)
  - registry_pypi: https://pypi.org/pypi/local-notebooklm/json (fetched 2026-08-29T13:08:07.760646+00:00, sha 77dc6757efdd)
- Data as of 2026-08-30T08:39:29.467469+00:00.