What is Paperguide?

Paperguide is an AI research assistant that searches a database of over 200 million papers and delivers answers with cited references. It performs literature reviews by automatically extracting and comparing key data from multiple studies, producing structured summaries that include tables and figures.

The platform offers a full‑document writer that builds drafts from user references while inserting accurate citations. Its reference manager imports from Zotero, BibTeX, RIS, DOI, and URLs, provides AI‑generated summaries, and supports real‑time collaboration with shared libraries.

Users can ask questions directly to PDFs and papers, receive source‑level verification text, and evaluate article quality using SJR rankings and citation metrics. The system supports OCR PDFs, generates APA/MLA/Chicago citations, and includes grammar, readability, and paraphrasing tools for academic writing.

Paperguide pricing Freemium

Monthly $0
Plus $12/mobilled annually
Pro $24/mobilled annually

Paperguide user reviews

Based on 4 reviews, 75.0% of users recommend Paperguide, rated highly for ease of use.

3
recommend
1
don't
4 reviews

Liked for

Worth the price 3 of 3
Easy to use 3 of 3
Good integrations 2 of 3
Quality results 1 of 3

Disliked for

Hard to use 1 of 1
Lacks integrations 1 of 1
Would you recommend Paperguide?

Paperguide's key features

  • Deep Research AI comprehensive reports
  • AI Search instant answer citations
  • Literature Review framework comparison
  • AI Writer automated citation drafts
  • Chat with Papers research queries
  • AI Reference Manager AI summaries

Paperguide use cases

  • Automate a comprehensive literature review for a grant proposal, generating structured summaries, comparison tables, and figure insights from 200 million papers without manual searching
  • Generate a fully formatted bibliography and in‑text citations for a manuscript, supporting APA, MLA, Chicago, and IEEE styles and integrating directly with reference managers
  • Use OCR to extract key data from scanned PDFs and auto‑populate systematic review tables, ensuring accurate and reproducible evidence synthesis

Who is it for?

  • Academic researchers
  • Content creators
  • Product designers
  • E-commerce sellers
  • Digital marketers

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