AI-assisted research tool
PaperPull
AI-assisted data extraction for meta-analysis.
PaperPull uses AI to extract user-defined variables from research papers and organize them into a structured dataset. It is designed for systematic reviews and meta-analyses that require the same information to be collected across many studies.
Open PaperPull- Purpose
- Meta-analysis data extraction
- Method
- AI-assisted, user-defined extraction
- Input
- Research papers in PDF format
- Output
- Structured CSV dataset
About the project
Why I built PaperPull
PaperPull began with a problem I encountered while conducting a meta-analysis: extracting results from research papers was slow, repetitive, and difficult to standardize across studies.
I built it to apply a consistent extraction specification across a collection of papers while reducing the manual work involved.