GraceLitRev: Research Assistant Tool
Research assistant that extracts 28 variables from articles
# Research ToolWhat is GraceLitRev: Research Assistant Tool?
GraceLitRev is an AI-powered platform that simplifies literature reviews by extracting 28 key metadata, generating graphs, enabling theme creation, and exporting data for researchers and academics.
Problem
Researchers and academics manually extract key metadata (e.g., methodologies, sample sizes) from articles during literature reviews, leading to time-consuming and error-prone processes, limited ability to visualize relationships between studies, and difficulty identifying overarching themes.
Solution
An AI-powered research platform where users upload articles to extract 28 key metadata variables using AI, generate comparative graphs, organize themes, and export structured data (e.g., tables, CSV) for analysis.
Customers
Academic researchers, PhD students, and university librarians conducting systematic reviews or meta-analyses, typically aged 25–50, spending hours weekly on literature synthesis.
Unique Features
Automated extraction of 28 variables (e.g., citations per year, study type), dynamic graph generation, theme-based clustering, and bulk export capabilities tailored for scholarly analysis.
User Comments
Saves weeks of manual work
Graphs reveal trends instantly
Theme clustering simplifies synthesis
Exports integrate with SPSS/R
Occasional metadata inaccuracies
Traction
Launched v1.2 in Q3 2023 with bulk uploads; 1K+ active researchers across 50 universities, mentioned in 3 academic workflows guides.
Market Size
The global academic software market, valued at $11.6 billion in 2023, grows at 13.2% CAGR as universities digitize research workflows (Grand View Research, 2023).
