Local-first academic writing IDE with on-device AI.
What it does
Read, organize, and tag research PDFs directly within a unified workspace without switching external tabs.
Take linked markdown notes alongside PDFs and watch them grow directly into structured academic drafts.
Insert BibTeX or APA citations straight from PDF metadata with links back to original highlights.
Run on-device AI semantic search, matrix extraction, and evidence scanning completely offline for total privacy.
Why it works
Operates entirely local-first ensuring notes and research data remain private on the user device without cloud tracking.
Integrates PDF reading, citation management, and markdown drafting into a single cohesive interface window.
Leverages specialized on-device AI pipelines for semantic search and matrix extraction without subscription bandwidth limits.
Eliminates proprietary lock-in by saving all files natively as plain markdown documents on macOS.
Local-first academic writing IDE with on-device AI.
Overview
note.md is a macOS application combining a PDF reader, reference manager, markdown note editor, and writing environment into a single unified window. It stores everything as plain markdown files locally on your Mac, ensuring absolute data privacy. The platform features an on-device AI system that indexes research materials locally without cloud uploads. Designed for researchers, it bridges PDF study analysis, citation mapping, and manuscript drafting seamlessly.
Founded year:2025
Founder:note.md Team
Team size:2-10
Popularity:Thousands of academic users
HQ:Zurich, Switzerland
Status:Active
Funding status:Bootstrapped
Customer type:B2C
Pricing:Subscription
Tech stack:Swift, macOS AppKit, Markdown, TypeScript, On-Device AI
Read, organize, and tag research PDFs directly within a unified workspace without switching external tabs.
Take linked markdown notes alongside PDFs and watch them grow directly into structured academic drafts.
Insert BibTeX or APA citations straight from PDF metadata with links back to original highlights.
Run on-device AI semantic search, matrix extraction, and evidence scanning completely offline for total privacy.
Who it's for
Academic Researchers
Graduate Students
Thesis Writers
Scientific Authors
Why it works
Operates entirely local-first ensuring notes and research data remain private on the user device without cloud tracking.
Integrates PDF reading, citation management, and markdown drafting into a single cohesive interface window.
Leverages specialized on-device AI pipelines for semantic search and matrix extraction without subscription bandwidth limits.
Eliminates proprietary lock-in by saving all files natively as plain markdown documents on macOS.
Founder story
note.md was built to solve the fragmentation researchers face when juggling multiple reference managers, PDF readers, and note-taking apps. Designed specifically for academic rigor, the project provides a unified local-first environment for reading, citing, and writing scholarly works securely.
Alternatives
Comparison overview
note.md integrates a native PDF reader, reference manager, and markdown editor into a single window compared to decoupled toolchains like Zotero and Obsidian.
It runs all AI indexing and semantic searches completely on-device instead of relying on external cloud APIs.