# note.md vs Paperguide

note.md records 0 monthly visits with -100% month-over-month growth and Freemium pricing. Paperguide records 371,972 monthly visits with -2.9% growth and Freemium pricing.

| Metric | [note.md](https://openaitools.app/tool/note-md) | [Paperguide](https://openaitools.app/tool/paperguide) |
| :--- | :--- | :--- |
| Website URL | https://www.notemd.org | https://paperguide.ai// |
| Categories | AI Research Tool, AI Knowledge Management, AI Writing Assistants, AI Search Engine | AI Research Tool, AI Assistant, AI Writing Assistants, AI Papers |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 0 | 371,972 |
| MoM Growth Rate | -100% | -2.9% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 121,585 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## note.md

note.md positions itself as an "academic IDE" for researchers. Rather than juggling Zotero for references, Obsidian for notes, a PDF reader for papers and a separate writing app, it puts sources, highlights, notes and citations in the same window. PDFs are imported into a source library, highlights and annotations stay attached to the exact passage, and citations can be generated as BibTeX or APA straight from PDF metadata with a link back to where the highlight came from.

The app stores everything as GitHub-flavored markdown files on disk, supported by LaTeX math, complex tables and bidirectional links that build a visual knowledge graph you can also export in a Neo4j-friendly format. Writing happens in a block-based editor with slash commands for citations, source images and links, so the act of writing continuously expands the graph of your reading.

Its differentiator is privacy and local AI. Semantic search, automatic indexing of figures and tables, Matrix extraction (filling research tables from your library) and Evidence Scan (checking a claim against supporting and contradicting passages) all run on-device using local models. The developer is explicit that nothing you read or write is uploaded. The company is ARSoftware UG, based in Germany, and the app is distributed through the Mac App Store; note.md is currently macOS-only and a younger product than the established alternatives.

**Pricing & Plans:** Freemium via the Mac App Store. The full writing workspace — local markdown editor and vault, Reading Studio, smart citations, source management and Graph View — is free forever. Premium unlocks the local-AI workflows (semantic search, automatic indexing, Matrix extraction, Evidence Scan) at $8.99/month, $49.99/year or $99.99 lifetime, with verified student pricing at $4.99/month or $29.99/year.

- **Reading Studio:** A side-by-side dual-pane reader that puts the PDF and your markdown editor next to each other, so highlights and annotations become part of your notes as you read.
- **Citations anchored to passages:** Generate BibTeX or APA citations from PDF metadata, with every citation linked back to the exact highlight it came from so you can return to the passage months later.
- **Local semantic search:** A premium feature that searches your library by meaning rather than exact keywords, powered by on-device models so nothing is uploaded.
- **Knowledge graph and Neo4j export:** Bidirectional links between notes and sources build a visual relationship graph that can be exported in a Neo4j-friendly format.
- **Evidence Scan and Matrix extraction:** Local AI treats a sentence as a claim and surfaces supporting, contradicting and nuanced passages; Matrix extraction fills editable research tables straight from your own library.

**Strengths:** Genuinely local AI: indexing, retrieval and inference run on your Mac rather than in the cloud; Plain markdown and PDFs on disk, so your data stays portable and readable in any editor; Citations, highlights, notes and sources live in one window instead of four tethered apps; Transparent technical write-ups documenting chunking, ranking and known failure modes

**Limitations:** macOS only, so Windows and Linux researchers are excluded; A younger app than Zotero or Obsidian and lacks their two decades of templates and plugins; No Word or Google Docs integration, and the local AI workflows sit behind the Premium tier

[Profile (Markdown)](https://openaitools.app/tool/note-md.md)

## Paperguide

Paperguide has evolved from a general-purpose "chat with your PDF" study assistant into a research platform aimed squarely at rigorous evidence work. Its current centrepiece is Systematic Review: you define a protocol, run a documented search, screen abstracts and full texts with per-criterion evidence prepared by AI, resolve conflicts between two independent reviewers, and finish with verified extraction tables plus a PRISMA flow diagram generated from your own counts. The design principle is that AI prepares evidence but never casts the decisive vote — every screening call, extracted value and synthesized claim is traceable to a named source statement and a human verifier.

The rest of the product supports that workflow from the front end. AI Search answers plain-language research questions across more than 200 million peer-reviewed papers with each assertion linked to its source; the Reference Manager imports from Zotero or Mendeley, adds papers by DOI and fetches open-access PDFs automatically; Extract Data turns a stack of PDFs into a structured, cited comparison table you can export to CSV or Excel; and the Research Agent handles multi-step literature reviews up to 50 papers, organized by theme.

Paperguide also ships an AI Writer for citation-grounded drafting, an MCP integration, and a plagiarism checker, with shared team workspaces that keep papers, annotations and reviews attached to the project rather than to one person's account. It is used by academic researchers along with medical device, HEOR, pharma and government policy teams, and reports over one million researchers on the platform. Pricing runs from a free tier through Plus, Pro, Evidence Teams and custom Enterprise plans billed per seat annually.

**Pricing & Plans:** Freemium with a free plan (1,500 AI credits per month plus limited agents and reference manager) and paid per-seat tiers billed annually: Plus around $12/seat/month, Pro around $29/seat/month, Evidence Teams around $89/seat/month with dual-reviewer screening, and custom Enterprise pricing. Yearly billing advertises savings up to 41%.

- **AI Search over 200M+ papers:** Ask a research question in plain language and get a synthesized answer drawn from PubMed, arXiv, OpenAlex and Semantic Scholar, with every claim linked to its source paper.
- **Auditable Systematic Review:** Run PRISMA-style reviews with a predefined protocol, recorded screening decisions, dual independent reviewers and a conflict resolver, and a PRISMA diagram generated from your actual counts.
- **AI-native Reference Manager:** Import from Zotero or Mendeley, add papers by DOI, and get metadata and open-access PDFs fetched automatically, with annotations and notes that feed every other workflow.
- **Cited data extraction tables:** Define custom extraction columns and have AI fill them across many papers, with each value linking back to the sentence it came from, exportable to CSV or Excel.
- **Citation-grounded AI Writer:** Draft from your own library and 200M+ papers in the same document, switching between 1,000+ citation styles without manual reformatting and without invented references.

**Strengths:** Statement-level traceability: click any claim to land on the exact source sentence; Combines search, reference management, extraction and writing in one workspace; Per-criterion evidence speeds up abstract screening and improves reviewer consistency; Free tier is genuinely usable, and annual billing discounts are generous

**Limitations:** Credit-based limits can be reached quickly on heavy research-agent usage; The advanced systematic review features and dual review sit behind the pricier team tiers; It is primarily English-oriented, which may suit non-English primary research less well; Newer compliance certifications such as SOC 2 and ISO 27001 are still listed as coming soon

[Profile (Markdown)](https://openaitools.app/tool/paperguide.md)

## Frequently Asked Questions

### How do note.md and Paperguide compare in monthly traffic?

note.md has 0 monthly visits, while Paperguide has 371,972. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

note.md has a month-over-month growth rate of -100%; Paperguide has -2.9%.

### How does pricing compare?

note.md: Freemium. Freemium via the Mac App Store. The full writing workspace — local markdown editor and vault, Reading Studio, smart citations, source management and Graph View — is free forever. Premium unlocks the local-AI workflows (semantic search, automatic indexing, Matrix extraction, Evidence Scan) at $8.99/month, $49.99/year or $99.99 lifetime, with verified student pricing at $4.99/month or $29.99/year. Paperguide: Freemium. Freemium with a free plan (1,500 AI credits per month plus limited agents and reference manager) and paid per-seat tiers billed annually: Plus around $12/seat/month, Pro around $29/seat/month, Evidence Teams around $89/seat/month with dual-reviewer screening, and custom Enterprise pricing. Yearly billing advertises savings up to 41%.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 2 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | Superior for quick evidence-based academic search, but less of a comprehensive writing and reference suite. | [.md](https://openaitools.app/tool/consensus.md) |
| 3 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Offers robust PDF analysis and literature search workspaces, but lacks advanced systematic review screening workflows. | [.md](https://openaitools.app/tool/scispace.md) |
| 4 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | Stronger automated evidence synthesis and systematic review extraction, but less focused on end-to-end reference management. | [.md](https://openaitools.app/tool/elicit.md) |
| 5 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | Stronger AI academic writing and autocomplete assistance, but less comprehensive for systematic literature mapping. | [.md](https://openaitools.app/tool/jenni.md) |
| 6 | [Rayyan](https://openaitools.app/tool/rayyan) | 1,116,437 | +7.9% | Freemium | Industry standard for systematic review screening and deduplication, but weaker on AI writing generation. | [.md](https://openaitools.app/tool/rayyan.md) |
| 7 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | Excellent smart citation analysis to verify if papers support or dispute claims, but narrower writing capabilities. | [.md](https://openaitools.app/tool/scite.md) |
| 8 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Free visual research discovery and literature mapping tool, but offers less automated evidence synthesis and writing. | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 9 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Unmatched visual literature discovery and graph mapping, but lacks document drafting and reference management features. | [.md](https://openaitools.app/tool/connected-papers.md) |
| 10 | [Paper Digest](https://openaitools.app/tool/paper-digest) | 97,202 | -7.1% | Freemium | AI-powered platform to read, write, and stay current with research | [.md](https://openaitools.app/tool/paper-digest.md) |

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Source: https://openaitools.app/compare/note-md-vs-paperguide

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