Introduction
note.md is a Mac-focused Markdown and research workspace. Its official pages describe a local Markdown editor, private vault, PDF reading, highlights, citation management, source and literature organization, Graph View, and local-AI features such as semantic search, automatic indexing, Matrix extraction, and Evidence Scan.
This review uses official note.md pages checked on September 9, 2026. It is documentation-based, not a paid-account or performance test. We did not test indexing speed, extraction accuracy, citation correctness, battery usage, or compatibility with a particular research library.
The short answer
note.md is most compelling for Mac users who want research reading, linked notes, Markdown, citations, and local AI in one workspace. The free tier covers the core writing and source-management environment. Premium adds local-AI workflows rather than a cloud writing quota. It is less suitable for teams that need a browser-first shared editor, a full project-management system, or a hosted knowledge base with broad platform support.
Core workspace
The official pricing page lists a local Markdown editor and private vault, Reading Studio for side-by-side PDFs and highlights, smart citations such as BibTeX and APA, source and literature management, Graph View, Neo4j export, GitHub-flavored Markdown, tables, and LaTeX in both Free and Premium.
That combination targets a specific problem: keeping the source, the note, and the draft connected. A researcher can read a paper, capture a highlight, link it to a note, and continue writing without moving the material through several unrelated apps. Graph View can help inspect relationships, while export options help preserve data outside the app.
The limitation is scope. A linked-note graph does not automatically create a good literature review. Users still need a naming convention, citation discipline, source backup, and a method for distinguishing evidence from interpretation.
Local AI features
Premium adds semantic search, automatic indexing of figures, charts, and tables, Matrix extraction for filling research tables, and Evidence Scan for checking claims against the user’s own library. The official FAQ says these features run locally on the Mac and that notes and sources do not leave the machine.
Local processing is a meaningful fit for unpublished research, sensitive drafts, or users who do not want to upload a library to a cloud service. It also creates practical constraints: hardware, storage, indexing time, and supported macOS environments matter. “Runs locally” does not mean every extraction is correct. A matrix cell or evidence flag still needs to be checked against the source page.
The product’s local-AI design is also different from a general cloud chatbot. It is intended to surface and organize a user’s material rather than replace the author’s reasoning. That is a strength for source-grounded work and a limitation for users seeking broad web research or automatic long-form content generation.
Pricing
The official pricing page lists Free for the core workspace and Premium at $8.99 monthly, $49.99 annually, or $99.99 lifetime at the time checked. It also lists student pricing of $4.99 monthly or $29.99 annually with verification. Purchases are managed in-app through the App Store, and the page notes that regional prices may vary.
The headline lifetime price should be evaluated against platform risk and update expectations. Confirm current App Store terms, supported devices, and whether your research workflow depends on features that are Premium-only. A free download is not the same as unlimited access to local AI.
Pros
The first advantage is privacy-oriented architecture. A local vault and local AI can reduce the need to send sensitive source material to a third-party cloud. The second is continuity: PDF reading, notes, citations, and Markdown drafting share one environment. The third is portability through Markdown, GitHub-flavored syntax, and exports such as Neo4j.
The fourth is a clear separation between writing and assistance. The product can find, index, compare, and scan evidence without promising that it will author a defensible paper for the user.
Cons and alternatives
The Mac focus is a real limitation for mixed-device teams. Collaboration, comments, permissions, and shared editing may be stronger in a browser-based document system. Users who want broad web search, hosted sync, or a large plugin ecosystem may prefer an established knowledge-management tool. Users who mainly need a plain Markdown editor may not need Premium.
Before switching, test import and export with a small representative library: PDFs with tables, existing Markdown links, BibTeX records, attachments, and any Git repository. Verify that the resulting files remain usable without the app.
Who It Is Best For
note.md is best for an individual Mac researcher, student, writer, or technical professional who wants a private local library and is comfortable managing files. It may also suit a small team with an existing Git or shared-storage convention, but the official pages reviewed here do not establish a full browser collaboration model. It is not the obvious choice for a distributed team that needs comments, granular permissions, and a universal web editor.
The product is especially well matched to source-heavy work: papers, PDFs, notes, citations, tables, and drafts that need to remain connected. It is less useful if the main requirement is automatic web research, a marketing content calendar, or a hosted customer-facing knowledge base.
Affiliate Disclosure
This article may contain affiliate links. It is an independent editorial review based on official product documentation, not a paid installation or benchmark.
The most important adoption test is a real, small library rather than a blank demo. Import a few papers with footnotes, tables, scanned pages, existing links, and a bibliography. Then check whether the app preserves the files, creates useful links, and makes it easy to inspect the source behind an extracted answer. A local workflow is valuable only if the researcher can still find and verify material quickly. Keep originals backed up separately and treat generated extraction as a convenience layer, not as a new source of record.
Pricing note
App Store pricing and regional availability can change. Check the official website for the latest pricing and confirm current platform requirements before purchase.
Final Verdict
note.md is a strong fit for an individual Mac researcher who values local processing and a connected source-to-draft workflow. Its best use case is disciplined reading and evidence organization, not guaranteed writing quality or automated research conclusions. Start with the free workspace, test your own library, and upgrade only if semantic search, extraction, and Evidence Scan solve a recurring problem.