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Notebooker

Open NotebookLM alternative on your own keys and storage — cited answers, podcasts, flashcards, and an MCP-connected library

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freemiumDR 2Free tier: save sources free with no card. Monthly $5/month, which covers AI and service usage — source fetching and storage past the included 5 GB — with pay-as-you-go beyond that capped by a budget you set (defaults to $0). Yearly $50/year, same deal with two months free, billed once as $50 of AI credit for the year. Bring your own AI keys and your own S3-compatible storage to reduce metered usage. Everything is included on either plan; cancel anytime and your data leaves with you.View full pricing →

About Notebooker

Notebooker is an open, bring-your-own-keys alternative to NotebookLM that keeps everything you collect and makes it answerable, listenable, and studyable. You save links, PDFs, audio, and video from your browser, phone, or any app that can fire a webhook; you ask questions and get answers where every claim links back to the exact source you saved, alongside a coverage meter showing how many of your documents actually informed the answer. Full-text search runs across everything. The transform layer is where it goes past a chat interface: any page or whole notebook becomes a podcast with multi-speaker voices in the format you want — deep dive, quick brief, frank critique, two-sided debate, or unabridged walkthrough — delivered through a private RSS feed you can subscribe to in any player. It also generates flashcards with real spaced repetition and Anki export, charts, mindmaps, infographics, and full textbooks from your own sources. Built-in personas read your material differently: Professor teaches it, Critic stress-tests it, Debate argues both sides, Beginner's Guide starts from zero. RSS feeds and YouTube channels can be watched so new posts become sources automatically. There is a documented REST API with personal keys or OAuth, plus MCP over OAuth so Claude or any MCP client can search your sources, manage notebooks, and answer with citations from what you saved. The ownership story is the point: your own model keys (OpenAI, Anthropic, or local), your own S3-compatible storage, and an explicit commitment that your sources are never used to train models.

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Key Features

Unlimited sources — links, PDFs, audio, and video
Cited answers with a coverage meter showing which documents were consulted
Podcast generation with multi-speaker voices and five formats, via private RSS
Flashcards with real spaced repetition and Anki export
Charts, mindmaps, infographics, and generated textbooks
Professor, Critic, Debate, and Beginner's Guide personas
RSS and YouTube channel watching that auto-ingests new posts
Documented REST API plus MCP over OAuth for Claude and other clients
Bring your own model keys and S3-compatible storage

Notebooker Pros & Cons

Pros

  • +$5/month or $50/year is very cheap for what it covers
  • +Your keys, your storage, your data — with an explicit no-training commitment
  • +Overage is capped by a budget that defaults to zero, so no surprise bills
  • +MCP and REST API make the library programmable, not just a web app

⚠️ Cons

  • Bring-your-own-keys means you also carry model costs separately
  • 5 GB included storage fills fast with audio and video sources
  • Feature surface is broad, which can make it feel unfocused
  • Small independent project, so longevity is unproven

Who Is Notebooker Best For?

👤Researchers and students who want cited answers over their own reading
👤People who want their saved reading turned into podcasts and study material
👤Anyone who wants a NotebookLM workflow without handing sources to Google

Tags

notebooklm alternativeresearchragpodcast generationflashcardsmcpbring your own key
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