Does NotebookLM Have an API? Yes — Here's How to Use It (2026)

Quick example — generating a NotebookLM-style podcast via API

Here is the minimum request to produce a two-host podcast from a URL:

curl -X POST https://api.autocontentapi.com/content/Create \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "resources": [
      { "type": "website", "content": "https://example.com/your-article" }
    ],
    "text": "Generate a 10-minute two-host podcast discussing the article",
    "outputType": "audio"
  }'

The endpoint is asynchronous — it returns a request_id that you poll via GET /content/Status/{request_id} until the audio file is ready. Total turnaround is usually 2–5 minutes for a 10-minute podcast. Full reference and SDKs at docs.autocontentapi.com.

The state of the official NotebookLM API in 2026

NotebookLM, Google's AI-driven research assistant, excels at analyzing content and generating context-aware outputs like summaries, timelines, FAQs, and the now-iconic two-host audio overviews. The product is mature; the public API is not. As of April 2026, Google still has not announced a release date, has not opened a developer waitlist, and has not exposed any documented programmatic surface for NotebookLM.

For developers, that gap matters. Anything you want to do at scale — generating podcasts for thousands of users, running on a recurring schedule, embedding the workflow into your own product — requires a programmatic interface that NotebookLM doesn't ship. This is where third-party tools like AutoContent API come in. The product was built explicitly to fill that gap and now powers production workloads at companies that couldn't wait for Google.

If you specifically need an agent-ready MCP workflow, see our NotebookLM MCP setup guide for Codex and CC with create/status orchestration.

What is AutoContent API?

AutoContent API is an unofficial solution that leverages cloud-based automation to access NotebookLM programmatically. Instead of waiting for an official API, this tool lets developers interact with NotebookLM-like features in a flexible, automated way.

Users can upload multiple types of content—such as website links, YouTube videos, or plain text—and the API generates outputs in diverse formats, including:

• Text-based summaries
• FAQ documents
• Study guides
• Timelines and briefing documents
• Even audio files featuring conversational analysis between two AI-generated hosts

Custom instructions can also be added to tailor the generated content, enabling a wide range of use cases for education, research, and business operations.

Why AutoContent API is even better than using NotebookLM directly

While NotebookLM is powerful on its own, AutoContent API offers several key advantages that make it superior for many use cases:

• Access to restricted websites: Our API can process content from news portals and other restricted websites that NotebookLM might not be able to access directly, giving you broader research capabilities. Learn how to create podcasts from any content.
• Social media integration: Unlike NotebookLM, our API has direct access to Reddit and X (Twitter) feeds, allowing you to incorporate real-time social media discussions and trending topics as source material for your content generation. See how to create podcasts from X feeds.
• Deep research capabilities: You can create comprehensive deep research reports and automatically generate podcasts and additional resources from them, streamlining your entire content creation workflow. Explore deep research podcast creation.
• Video content creation: Beyond audio, you can also create engaging video shorts with AI avatars and automatic subtitles—perfect for social media and educational content. Learn about video short creation.
• Programmatic automation: Build automated workflows that can continuously monitor sources, generate content, and distribute it across multiple channels—something impossible with NotebookLM's manual interface.

Ready to experience these advantages? Get started with our Quick Start Guide and see how easy it is to integrate these powerful features into your applications.

How does AutoContent API work?

AutoContent API bridges the gap left by the absence of an official NotebookLM API by providing secure, automated access to NotebookLM-style functionality. This ensures that the results closely replicate the capabilities of NotebookLM itself. You don't need to worry about complex setup on your end—everything happens seamlessly through our API.

For developers, the process is simple. You send data through the API (links, text, or videos), define your desired output format, and optionally include specific instructions to guide the content generation. The documentation at docs.autocontentapi.com offers a detailed breakdown of the available features and endpoints.

Why developers need this now (April 2026)

The absence of an official NotebookLM API makes tools like AutoContent API essential for developers who need immediate solutions. Whether you're automating research workflows, building educational tools, or creating dynamic audio content, the API offers a flexible feature set you can ship today.

The demand for AI-driven podcast generation has only grown since this post first went up in 2024 — and Google's silence on a NotebookLM API has lasted longer than anyone expected. If you're evaluating options now and want a side-by-side: we compared 9 NotebookLM alternatives head-to-head with pricing and feature matrices.

Getting started

To start using AutoContent API, check out the comprehensive documentation at docs.autocontentapi.com. It covers everything from authentication to advanced features, ensuring you can integrate the API into your projects with ease. You'll also find examples and tips to help you maximize its capabilities.

For developers who want to jump right in, our Quick Start Guide provides step-by-step instructions to get you up and running in minutes.