Find Papers With Natural-Language Search
LitSynth's natural language search finds relevant papers from 125 million+ sources, no keyword guessing required.
Try these example queries
Semantic Search
Ask questions naturally - our AI understands your research intent
Interactive Table
Results delivered in a powerful, filterable analysis workbench
Unlimited Access
125M+ papers from Semantic Scholar, unlimited searches on all plans
AI-Powered Research Technology
Advanced AI models for intelligent literature analysis
Our cutting-edge AI technology combines natural language processing and machine learning to deliver comprehensive research insights from academic literature.
Document Processing AI
Advanced PDF parsing and text extraction for comprehensive literature analysis.
Information Extraction
Intelligent data extraction for key research findings, methodologies, and conclusions.
Smart Synthesis
AI-powered literature synthesis to identify patterns and generate insights across papers.
Real-time Processing
Lightning-fast AI inference for instant analysis and structured data extraction.
Export & Integration
Seamless export to multiple formats with reference management system integration.
Research Database
Comprehensive knowledge base with AI-powered search and discovery capabilities.
From "Keyword Guessing" to "Question-Based Discovery"
Stop guessing keywords. LitSynth's natural language search finds relevant papers from 125 million+ sources, no keyword guessing required. Stop struggling with endless keyword combinations. LitSynth's powerful semantic search engine understands your natural language research question. Simply ask, and the system will scan over 125 million papers from Semantic Scholar (both open and closed access) to find the research that is truly relevant to your query.
How to Find Relevant Research Papers?
You can easily discover relevant papers for your research in just 3 simple steps.
Ask Your Research Question
Forget keywords. Just type your research question in natural language into the search box. LitSynth's semantic search will scan over 125 million papers for you.
Review abstracts and tailor the table
You'll first see the top 10 abstracts plus a filterable table; add columns from the right-side library, create custom columns, and filter by year/field.
Explore and Save Your Findings
Explore the results by loading more results, applying filters, or following citation chains. Save any valuable papers to your LitSynth Library with one click for future research or data extraction.
Use Cases for Different Roles
Made for students, academics, systematic-review teams, and industry experts of all kinds.