Academic Research
Extract structured data from research papers.
ParseFlow helps researchers extract tables, citations, metadata, and key findings from academic papers — building structured literature databases without manual data entry.
Before & after
The old way vs. the ParseFlow way
The old way
Researchers manually copy data from tables in PDF papers into spreadsheets, type out citation details, and create literature databases by hand. A systematic review of 100 papers takes weeks of data extraction.
The ParseFlow way
Define schemas for the data you need — study characteristics, results, citations — and let ParseFlow extract it from all 100 papers. Export to CSV for meta-analysis or database import.
Schema
Example extraction schema
Define this schema once in ParseFlow, then reuse it across all your academic research documents.
{
"title": "string",
"authors": ["string"],
"journal": "string",
"year": "number",
"doi": "string",
"abstract": "string",
"methodology": "string",
"sample_size": "number",
"key_findings": ["string"],
"limitations": ["string"],
"keywords": ["string"]
}Example
Input → Output
Input (PDF)
A published journal article PDF with title page, abstract, methodology section, results tables, discussion, and reference list.
Output (Structured Data)
Title: Effects of AI-Assisted Learning on Student Outcomes, Authors: [Chen et al.], Journal: Educational Technology Research, Year: 2024, DOI: 10.1234/etr.2024.567, Sample size: 450, Key finding: 23% improvement in test scores.