AI research workspace for exploring papers, chatting with PDFs, extracting information, and developing literature reviews.
Best for: Paper discovery and PDF questions
About this listing
Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.
Official sourceSearch papers, chat with PDFs, manage references, and extract research data into structured tables.
Best suited to
Paperguide suits researchers moving from a reading question toward organized evidence and a cited draft.
Paperguide suits researchers moving from a reading question toward organized evidence and a cited draft. Search, PDF conversations and extraction tables sit near the reference manager. Use a small collection first, with a defined extraction question. Generated summaries should retain the paper's scope; a neat table is not evidence that every cell was read correctly.
This example describes a task, not a tested output. Adjust the source material and settings to your own situation.
For these papers, extract study population, intervention, outcome and follow-up period. Use not reported where a field is missing.
Result check: Verify each extracted value, citation and page context; distinguish absent information from a negative result.
A continuing Free plan includes monthly AI credits and restricted search, reference and extraction capacity. Paid plans expand tables, collaboration, reports and systematic-review features. Some extraction features are labelled coming soon; check availability rather than assuming every advertised workflow is already included.
Choose another workflow when its emphasis fits better: SciSpace for another paper-reading workflow; Elicit for a different structured evidence approach.
AI paper search
PDF conversations
Reference manager
Structured data extraction
Research reports
A continuing Free plan includes monthly AI credits and restricted search, reference and extraction capacity. Paid plans expand tables, collaboration, reports and systematic-review features. Some extraction features are labelled coming soon; check availability rather than assuming every advertised workflow is already included.
Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.
Source for access detailsOne email a week with pricing and feature changes in this category. No per-tool price alerts.
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Paperguide suits researchers moving from a reading question toward organized evidence and a cited draft. Search, PDF conversations and extraction tables sit near the reference manager. Use a small collection first, with a defined extraction question. Generated summaries should retain the paper's scope; a neat table is not evidence that every cell was read correctly.
A continuing Free plan includes monthly AI credits and restricted search, reference and extraction capacity. Paid plans expand tables, collaboration, reports and systematic-review features. Some extraction features are labelled coming soon; check availability rather than assuming every advertised workflow is already included.
Define a narrow research question and locate relevant papers. Add permitted PDFs or reference records.
Verify each extracted value, citation and page context; distinguish absent information from a negative result.
SciSpace for another paper-reading workflow; Elicit for a different structured evidence approach.
Tell us what needs improving. No account or private output required.
Report incorrect information or a broken linkDocumentation-based review Β· 2026-10-15
Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.
AI research workspace for exploring papers, chatting with PDFs, extracting information, and developing literature reviews.
Best for: Paper discovery and PDF questions
Research assistant for finding papers, extracting evidence, synthesising findings, and structured literature-review workflows.
Best for: Finding and structuring evidence from research papers
AI analytics workspace with agentic notebooks, conversational data exploration and shareable data apps.
Best for: Hex suits analysts and data teams that want one workspace for SQL, Python, AI-assisted exploration and interactive apps.