Qiaomu Anything to NotebookLM: Convert Any Content Source to Google NotebookLM

Qiaomu Anything to NotebookLM is a Claude Code Skill and Python toolkit that converts 15+ content sources — YouTube videos, podcasts, articles, PDFs — into Google NotebookLM knowledge bases, with paywall bypass capabilities.

  • ⭐ 2000
  • Updated 2026-06-10

Introduction #

Google NotebookLM has rapidly become one of the most useful AI-powered knowledge management tools available. By uploading documents and sources, users can create a personal “notebook” that an AI assistant can reason over, answer questions about, and synthesize into summaries, study guides, and deep-dive analyses. It is essentially a RAG system that you can use out of the box.

But NotebookLM has a limitation: you have to manually upload documents, and there is no programmatic way to feed it content at scale. What if you could automatically convert a YouTube video, a podcast episode, a blog article, or a paywalled research paper into a ready-to-use NotebookLM source?

Enter Qiaomu Anything to NotebookLM by joeseesun, a tool that does exactly that. With 5,015 GitHub stars, this toolkit bridges the gap between diverse content sources and Google NotebookLM, supporting 15+ content formats and offering innovative capabilities like paywall bypass.

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architecture diagram for 2026-06-11-qiaomu
Architecture overview (source: dibi8.com)

What Is Qiaomu Anything to NotebookLM? #

Qiaomu Anything to NotebookLM is a comprehensive toolkit that converts content from 15+ different sources into formats compatible with Google NotebookLM. It works as both a standalone Python package and as a Claude Code Skill, making it accessible to both programmatic users and those who prefer conversational AI workflows.

The toolkit is built around two main modes of operation:

  1. Claude Code Skill Mode — Use natural language in Claude Code to trigger conversions: “Convert this YouTube video about machine learning into a NotebookLM source.” The skill handles the entire pipeline.
  2. Python Package Mode — Use the qiaomu-notebooklm Python package programmatically for batch processing, scheduling, and integration into larger data pipelines.

Feature Image:

Qiaomu NotebookLM Converter Overview

Supported Content Sources #

The toolkit supports an impressive range of content sources. Here is the complete list:

| Category | Sources | || Category | Sources | |———-|———| | Documents | PDF, DOCX, PPTX, XLSX, TXT, Markdown, EPUB | | Web | URLs, HTML pages, RSS feeds | | Media | YouTube transcripts, audio files, images (OCR) | | Code | Repositories, source files, Jupyter notebooks | | Structured | CSV, JSON, SQLite databases |

Quick Start #

pip install qiaomu
qiaomu convert ./paper.pdf --format notebooklm
# Output: a structured NotebookLM-style notebook with summaries, Q&A, and study cards

Why This Matters #

NotebookLM-style AI notebooks are the fastest-growing productivity category — but the hosted versions are closed, have file limits, and send your data to third parties. Qiaomu Anything to NotebookLM brings the same experience to your own documents, offline, with no size limits and full data privacy.

Conclusion #

Qiaomu Anything to NotebookLM is the strongest self-hosted bridge between arbitrary content and AI-powered study notebooks. For researchers, students, and teams that want NotebookLM-style features without uploading documents to a cloud service, it is the practical 2026 choice.

💬 Discussion