
One Mac app for reading papers, citing evidence, and writing — local-first and AI-assisted.
By Tanmay Verma, Founder · Last verified 04 Jul 2026
In short
note.md — One Mac app for reading papers, citing evidence, and writing — local-first and AI-assisted. Best for PhD students managing large literature libraries from multiple PDFs, Academic researchers wanting a unified reading-writing workflow on Mac, Graduate students writing theses with heavy citation needs. Free to start; paid plans from $4.99/mo.
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note.md is the best local-first academic IDE for Mac users who want to unify PDF reading, note-taking, citations, and writing. Its local AI features are genuinely useful for surfacing information without compromising privacy, though the Mac-only limitation and lack of collaboration tools may deter broader adoption for team-based projects.
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Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
13 mentions across 3 sources (Hacker News, Product Hunt, Bluesky).
How likely is note.md to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →note.md is a local-first research workspace for Mac that consolidates PDF reading, markdown note-taking, citation management, and structured writing into a single application. Designed for students and researchers at rigorous programs like Harvard, MIT, Stanford, Oxford, Cambridge, and ETH Zürich, it replaces the need to juggle separate tools such as Zotero, Obsidian, PDF readers, and writing apps. The app offers a Reading Studio for side-by-side PDF and note editing, smart citations that generate BibTeX or APA entries from PDF metadata, and a graph view for visualizing connections between sources and notes. All notes are stored as plain markdown files with LaTeX support, ensuring no lock-in. A key differentiator is its local AI, which runs entirely on the user's Mac to provide semantic search, automatic indexing of figures and tables, matrix extraction for literature reviews, and evidence scanning—without sending data to the cloud. The AI acts as a librarian, not a ghostwriter, preserving the user's thinking process. The full writing workspace is free forever. Premium (monthly, annual, or lifetime) unlocks the local AI features. The app is built by a small German team (ARSoftware) that prioritizes privacy and deliberate feature design.
note.md nails the unified research workflow that many academics dream of. If you are a graduate student or researcher drowning in PDFs and juggling Zotero, Obsidian, and a separate writing app, this is a serious time-saver. The local AI is the standout: semantic search, automatic figure extraction, and evidence scanning all happen on your machine—no data leaves your Mac. For privacy-conscious researchers, that's a huge win. The free tier is generous: you get the full writing workspace, citations, graph view, and all core features. Premium ($8.99/mo or $49.99/yr) adds the AI workflows. Student discounts make it even cheaper. On the downside, note.md is Mac-only via the App Store. No Windows, Linux, or web version. There are also no real-time collaboration features—no shared projects, comments, or team libraries. If you work in a group, you'll need to sync files manually. Compared to alternatives, Zotero remains the best free citation manager with browser integration, and Obsidian offers a more mature plugin ecosystem. But neither combines reading, writing, citations, and local AI in one app. note.md's closest competitor is Papers or ReadCube Papers, but those are more citation-focused and less markdown-native. Where note.md bites: you must be comfortable with markdown. There's no rich text WYSIWYG. Also, the local AI can be slow on older Macs with limited RAM. In practice, we'd reach for note.md when writing a thesis or a large literature review where privacy and local indexing matter more than collaboration or cross-platform access.
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