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LitSynthLitSynth

Transform your research workflow with AI-powered literature analysis and synthesis

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Research workflows

Explore focused guides for literature reviews, PubMed workflows, citation audits, and PRISMA-lite review planning.

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Generate a Literature Review From One Question

LitSynth understands your research question, retrieves relevant papers, pre-screens evidence, and drafts a review with clickable citations.

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Try a biomedical example

See what a result looks like

Does feedback improve long-term learning?

  • Evidence to inspect: study design, follow-up duration, and reported learning outcomes.
  • Candidate next question: do effects persist beyond the measured follow-up?

Illustrative example, not a generated finding. Real results link claims to retrieved sources and flag evidence limits.

Sign in to run your own task. Your question and research mode will continue after sign-in.

Natural-language research question

Describe the question you need answered without building complex keyword strings.

Evidence table

Relevant papers land in a filterable evidence table so you can adjust the scope.

Auditable citations

Review citations link back to source papers and evidence excerpts.

From finding papers to drafting a review you can inspect

LitSynth does not stop at a list of papers. It organizes retrieval, pre-screens evidence around your question, and generates a review draft you can edit, verify, and export.

LitSynth Review Workspace
Evidence ready
Research question

Does intermittent fasting improve metabolic health?

Human studiesInsulinWeight loss
Search strategy

PICO expanded

Evidence table

10 retrieved

Screening

8 included

Review draft

Cited output

Ranked papers
8 selected
1

Intermittent fasting and metabolic health outcomes

JAMA Network Open · 2024

High relevance
2

Time-restricted eating and insulin sensitivity

Nutrients · 2023

Include
3

Alternate-day fasting in adults with obesity

Obesity Reviews · 2022

Screened
Review draft with traceable citations

Time-restricted eating shows modest improvements in insulin sensitivity and body weight across adult clinical studies[1], while adherence and baseline metabolic status explain part of the mixed findings[2].

Three Steps to a Literature Review

Start with the literature review path; move to Systematic Review Beta when you need stricter screening and extraction.

1

Ask Your Research Question

Type your research question in natural language. LitSynth optimizes the retrieval boundary and finds relevant papers.

2

Review the evidence table

AI pre-screens high-relevance papers and keeps year, study type, abstracts, and evidence excerpts visible for scope adjustment.

3

Draft and verify the review

Generate a review draft in one click. Each citation can jump back to the source paper and evidence excerpt for editing and export.

Use Cases for Different Roles

The first version focuses on fast literature reviews; Systematic Review Beta supports stricter teams later.

For Graduate Students (Master's/PhD)
Kick-start your literature review from one question. LitSynth retrieves relevant biomedical papers, builds a reviewable evidence table, and gives you cited paragraphs you can verify before writing.
For Academic Researchers & Scientists
Quickly map a new field or stay current. Use natural language to retrieve relevant papers, inspect abstracts and evidence excerpts, and export a multilingual review draft for internal discussion.
Systematic-review teams
Use Literature Review mode to map the evidence quickly; switch to Systematic Review Beta when you need protocol, screening, extraction, and audit depth.
For R&D Professionals & Industry Analysts
Find evidence, not just keywords. Ask practical research questions, review the extracted evidence table, and deliver a cited summary that keeps source papers traceable.

Ready to draft your literature review?

Start with one research question and get a cited, auditable review draft in minutes.

Sign in to start your reviewSee workflow

Continue your research

  • Research gap finder
  • Review the evidence for your question
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