Heptabase vs NotebookLM: pricing, features and which to choose

Heptabase is made by Hepta Platforms, Inc. and is an actively developed visual knowledge-management service. Its focus is research and learning rather than general project management. The product combines reusable cards, PDFs, journals, databases, tags, research imports, AI chat, and agent workflows. Desktop storage has local-first and offline behavior, while optional cloud sync works across unlimited devices. Mobile supports capture and reading. Heptabase is proprietary software, not an open-source project, and its hosted design means cloud processing remains part of the service even when one device holds a local database. The company describes its early-bird offer as ending on August 31, 2023, with version 1.0 launching at that time.

A typical Heptabase workflow starts with PDFs, web or video content, notes, and highlights. Documents can be parsed or processed with OCR, after which selected passages become reusable cards. Users arrange cards on nested whiteboards, connect them with tags, and search the resulting knowledge base. Cards can appear on multiple boards, which suits projects that revisit the same source material. AI Tutor, chat, transcripts, Insight Generator, and voice-note features add assistance around collected material. Users can publish or share selected spaces. PDF extraction creates text for AI, including scanned text through OCR, but it does not automatically create highlight cards. Users must select passages when they want highlight cards.

Heptabase's main tradeoff is cost and service dependence. Premium and Premium+ meter AI work through monthly credits, there is no end-to-end encryption or supported self-hosted Heptabase server, and server-side indexes contain content chunks, metadata, and vectors. Obsidian offers local Markdown and optional Sync, while Heptabase provides a stronger built-in PDF, card, and whiteboard workflow. Scrintal is stronger for real-time collaboration, templates, and tablet ease, while Heptabase is more research-focused. Notion is better for team databases and project management. Logseq offers an open-source, outliner-oriented alternative with stronger local ownership. Pick Heptabase if spatial source synthesis matters more than local ownership or low subscription cost.

Gemini Notebook is Google’s source-grounded research and study workspace, formerly called NotebookLM. Google introduced it as Project Tailwind at Google I/O 2023, then renamed it on July 16, 2026. The company says more than 30 million people and over 600,000 organizations use it. It remains a standalone product, while notebooks also connect with the Gemini app and are planned for Google Search. The name change matters for directory searches, but the product identity is continuous: Google says existing notebooks remain accessible. Its strongest distinction is a workflow built around user-provided material rather than an open-ended chat window. That makes it a practical fit for study, document review, internal knowledge, and source-based research.

A typical notebook starts with source collection. Users can add PDFs, web pages, Google Docs, handwritten notes, worksheets, photos, and recordings, then ask questions about the material. Gemini Notebook returns answers grounded in those sources and can provide citations. From the same workspace, users can create reports, flashcards, quizzes, mind maps, infographics, slide decks, Audio Overviews, and Video Overviews. Notes sit alongside sources, allowing users to edit, cite, and reuse them. The September 2026 study update adds real-time spoken conversations with notebooks in nearly 100 languages through the mobile app, mobile audio recording, interactive learning overviews, and additional quiz formats. Public notebook sharing is available for consumer accounts, while paid users receive advanced sharing.

Gemini Notebook is less suitable when you need a public developer API, local hosting, or a fully independent research index. Google identifies the consumer product as hosted, and its plan pages describe access through Google AI, Workspace, or Cloud rather than an open-source distribution. SciSpace is stronger for paper discovery and academic reading, while scite emphasizes citation context and Elicit focuses on structured literature review. ChatGPT is broader for general conversation, but it lacks Gemini Notebook’s narrow source-grounded notebook workflow. Individual data is not used to train Gemini Notebook unless feedback is submitted, while Workspace uploads, queries, and responses are not used to train AI models. Pick Gemini Notebook for source-based study and document work with multimedia outputs.