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

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 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:

Supported Content Sources #

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

| Category | Sources | |