LitSynth Data Extractor instantly pulls key insights from research papers into a structured table, allowing for effortless comparison across multiple sources.
Drag files here or click to browse
Supports batch upload, single file max 100MB, PDF files only
Automatically identify and extract key information such as paper title, author, abstract, conclusion
Display all extracted data in clear tabular format with sorting and filtering support
Support export to CSV, Excel and other formats for further analysis and processing
You can easily extract key data from any research paper in just 3 simple steps.
Drag and drop your PDF file(s) into the upload area or select them directly. You can upload a single paper or multiple documents at once.
Choose from a list of preset columns like 'Methodology' and 'Main Findings', or create your own. Simply type what you want to extract in the search box to tailor the analysis to your exact needs.
Instantly get a clear, structured table with all the extracted data. Compare insights across papers and export everything to CSV, Excel, or RIS for your own use.