NotebookLM Py

Automate Google NotebookLM — create notebooks, add sources, and generate podcasts, videos, and quizzes with ease.

Overview

NotebookLM Py is a Python library that provides programmatic access to Google NotebookLM's capabilities. Build automated workflows for research, content summarization, and educational content creation.

Features

Note Creation & Management

• Create and manage multiple notebooks
• Organize by topic or project
• Batch operations for large-scale workflows

Source Integration

• Add PDFs, websites, and text files
• Support for multiple source types
• Automatic content extraction and processing

Content Generation

• Podcasts: Generate AI-powered audio summaries
• Videos: Create video scripts and visual summaries
• Quizzes: Generate test questions and assessments
• Study guides: Compile comprehensive learning materials

Why Choose This Skill

Research Automation

• Automate literature review processes
• Generate summaries from multiple sources
• Create study materials automatically

Content Production

• Batch generate educational content
• Create podcast scripts at scale
• Produce quiz libraries efficiently

Developer-Friendly

• Clean Python API
• Well-documented methods
• Error handling and validation

Quick Start

Installation

pip install notebooklm-py

Basic Usage

from notebooklm import NotebookLM

# Initialize
nblm = NotebookLM(api_key="your-api-key")

# Create notebook
notebook = nblm.create_notebook("Research Project")

# Add sources
notebook.add_source("paper.pdf")
notebook.add_source("https://example.com/article")

# Generate podcast
podcast = notebook.generate_podcast()

# Save audio
podcast.save("research_podcast.mp3")

Use Cases

Academic Research

• Summarize multiple papers in one notebook
• Generate study guides and quiz banks
• Create audio summaries for review

Content Creation

• Convert research into podcast scripts
• Generate video summaries for tutorials
• Produce quiz content for courses

Knowledge Management

• Organize research materials programmatically
• Generate multiple output formats
• Batch process document libraries

Limitations

• Requires Google NotebookLM access
• Rate limits apply for API calls
• Some features may require paid tier

Technical Details

API Methods

• create_notebook(): Initialize new notebook
• add_source(): Add documents or URLs
• generate_podcast(): Create audio summary
• generate_video(): Create video script
• generate_quiz(): Generate assessment questions

Supported Source Types

• PDF documents
• Plain text files
• Web pages (HTML)
• Markdown documents

Output Formats

• Audio files (MP3, WAV)
• Video scripts (Markdown, SRT)
• Quiz formats (JSON, CSV)
• Study guides (Markdown, PDF)

Deep Dive

Architecture

The library wraps Google's NotebookLM API with:

• Session management
• File upload handling
• Async operation support
• Retry logic for reliability

Error Handling

• Graceful degradation on failures
• Detailed error messages
• Logging support for debugging

Performance

• Batch processing optimizations
• Parallel source uploads
• Caching for repeated requests

Best Practices

Rate Limiting

• Respect API rate limits
• Implement backoff strategies
• Cache results where possible

Source Management

• Group related sources together
• Use descriptive notebook names
• Regularly clean up unused sources

Content Quality

• Verify source accuracy
• Review generated content
• Edit for clarity and accuracy

Related Skills

• Content summarization tools
• Research automation workflows
• Educational content generators