From Research Idea
to Systematic Review
3 literature workflows. 12-section pipeline. 217M+ papers indexed. Built on PRISMA 2020, PRISMA-S, and PRISMA-ScR.
papers indexed via Semantic Scholar
workflows — Gap, Search Strategy, Synthesis
AI actions across the literature pipeline
starts here · 7-day money back
How LitMinds works
The 12-section pipeline
Three tabs — Gap Analysis, Search Strategy, Literature — each four sections. Outputs flow forward: keywords seed discovery; concepts compile into database queries; synthesis maps into themes.
Research Idea & Keywords
Gap AnalysisInputs
AI action
Output
AI-extracted keyword set + concept tags ready for scholarly search.
Scholarly Discovery
Gap AnalysisInputs
AI action
Output
Ranked paper list pulled from 217M+ records with citations and abstracts.
Gap Analysis
Gap AnalysisInputs
AI action
Output
Relevance-scored corpus + evidence synthesis + named gaps in the literature.
Strategic Roadmap
Gap AnalysisInputs
AI action
Output
Methodology suggestions, publication targets, and a writable research roadmap.
Concepts & Synonyms
Search StrategyInputs
AI action
Output
Per-concept critique + curated synonym sets for sensitive searching.
Boolean Logic
Search StrategyInputs
AI action
Output
AND / OR / NOT operators with parenthesised grouping previewed live.
Database Selection
Search StrategyInputs
AI action
Output
23 databases as chips; AI recommends the right ones for your topic.
Query Compiler
Search StrategyInputs
AI action
Output
Database-specific syntax (PubMed, Embase, CINAHL, Scopus, etc.) with examples.
Literature Search
LiteratureInputs
AI action
Output
Curated paper list with AI-extracted metadata, ready for synthesis.
Evidence Synthesis
LiteratureInputs
AI action
Output
Auto and user-curated synthesis + top-paper summaries with citations.
Paper Analysis
LiteratureInputs
AI action
Output
Tabular data extracted across papers — methods, samples, outcomes, your fields.
Theme Mapping
LiteratureInputs
AI action
Output
Thematic clusters + suggested literature-review outline you can write into.
Three workflows
Gap. Search. Synthesis.
One subdomain, three end-to-end literature workflows. Use one or chain all three — every output is reusable downstream.
Gap Analysis
6 featuresFind what hasn't been studied — yet.
AI keyword extraction
Type a research idea; the AI extracts keywords and concept tags.
Scholarly discovery
/v1/search fans out to Semantic Scholar, OpenAlex, and PubMed.
Relevance scoring
AI scores every paper against your idea with reasoning.
Deep synthesis
Evidence summarised across the top-ranked corpus.
Named gaps
analyzeGap surfaces specific unexplored questions in your field.
Strategic roadmap
Methodology + publication-target suggestions for your study.
Search Strategy
6 featuresBuild a PRISMA-S compliant search — concept by concept.
Concept enlightenment
AI critiques each concept and proposes refinements.
Synonym generation
Curated synonym sets — MeSH-aware, deduplicated.
Boolean composer
AND / OR / NOT with parenthesised grouping, previewed live.
23 database chips
PubMed, Embase, CINAHL, Scopus, Web of Science, and more.
AI database picks
recommendDatabases ranks the right ones for your domain.
Per-database syntax
compileDatabaseQuery emits exact strings for each engine.
Literature Synthesis
6 featuresRead less, understand more — across the whole corpus.
Auto-synthesis
generateLiteratureSynthesis condenses every paper with citations.
User-curated synthesis
Pick a subset; AI builds a focused narrative around them.
Top-paper summaries
summarizeTopLiterature extracts the most-cited findings.
Custom column extraction
Define columns; AI extracts data across all papers in bulk.
Insights matrix
extractPaperInsights returns values + confidence scores.
Theme mapping
mapLiteratureThemes clusters papers; structure suggests an outline.
Compliance
Built on the standards
systematic reviewers expect
Your search strategy and synthesis are scored against every applicable standard in real time.
Why this matters
Real papers.
Real metadata. No hallucinations.
Other AI tools
Invent citations. You catch them in review.
Plain LLMs are notorious for hallucinated DOIs, fabricated author lists, and journal names that don't exist. By the time your supervisor or peer reviewer notices, your draft has already been read with skepticism.
LitMinds
Powered by Semantic Scholar. Real papers, real data.
Every paper comes from Semantic Scholar's 217M+ record index, with OpenAlex and PubMed as fallbacks. AI extracts metadata from the actual paper — never invents it.
- 217M+ papers indexed — DOI, authors, journal, year, abstract.
- Triple-source fallback: S2 → OpenAlex → PubMed.
- AI extracts only from real abstracts — no fabricated citations.
Source
Semantic Scholar
primary · 217M+ records
Papers returned
142
with DOIs · abstracts · year
Verified
100%
Every paper resolves to a real DOI
Plans
Simple pricing
Access 1m
15,000 Mindful AI Tokens
- All 3 workflows
- 12-section pipeline
- PRISMA-compliant exports
Access 2m
15,000 Mindful AI Tokens / month
- Everything in 1m
- Priority AI throughput
- Save ₹99 vs monthly
Access 3m
15,000 Mindful AI Tokens / month
- Everything in 2m
- Quarterly review cadence
- Save ₹198 vs monthly
FAQ
Frequently asked questions
Common questions from PhD students, post-docs, and systematic reviewers.
Which databases does LitMinds search?
Primary source is Semantic Scholar (217M+ papers). When S2 is unavailable or partial, /v1/search falls back to OpenAlex and PubMed. For your own searches in Tab 2 (Search Strategy), the Query Compiler generates syntax for PubMed, Embase, CINAHL, Scopus, Web of Science, and 18 more databases — you run those queries in the database itself and import the results.
Do you store my paper PDFs?
No. LitMinds works on paper metadata — title, authors, abstract, DOI, year — pulled from Semantic Scholar at search time. We never upload, store, or process full PDFs. Your reading and annotation stay in your own reference manager.
Can I export to Zotero, EndNote, or Mendeley?
Yes. Paper lists export to RIS and BibTeX, both of which Zotero, EndNote, and Mendeley import directly. The synthesis text exports to DOCX, PDF, and Markdown — your literature-review chapter, ready to drop into your thesis.
Will the AI hallucinate citations?
No. Every paper in LitMinds resolves to a real DOI from Semantic Scholar, OpenAlex, or PubMed. AI extracts and synthesises from the actual abstract — it never invents author names, journals, or DOIs. If a paper doesn't exist in the indexed corpus, it doesn't appear in your results.
How is the gap analysis different from just reading abstracts?
analyzeGap scores every paper against your research idea, synthesises evidence across the top-ranked corpus, then identifies named gaps — specific questions the literature hasn't answered. You get a written gap report plus methodology and publication-target suggestions for your study.
Is the synthesis PRISMA-compliant?
Yes. Output structure aligns with PRISMA 2020 for systematic reviews, PRISMA-S for search reporting, and PRISMA-ScR for scoping reviews. The search-strategy tab generates per-database queries reviewers can replicate, which is what PRISMA-S requires.
Can I bulk-extract data from papers for a meta-analysis?
Yes. In Tab 3 (Literature), define custom columns (e.g., sample size, intervention, primary outcome, effect size). bulkExtractColumnData runs across every paper in your corpus and returns a tabular dataset you can export to CSV — ready for meta-analytic software.
What if I run out of Mindful Tokens mid-month?
Top up any time with Boost (₹149), Lab (₹349), or Project (₹699) packs. Top-up tokens never expire while you remain subscribed.
Can I edit the AI output?
Every section is editable. AI drafts; you decide what ships. Edits in earlier sections propagate downstream — change your keywords and the discovery, scoring, and synthesis all re-evaluate.
Is there a free trial?
7-day money-back guarantee on any plan. Free reference guides under /flow-minds/ require no signup if you just want to browse the methodology content.