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.
The old way vs. the ParseFlow 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.
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.
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"]
}Input → Output
A published journal article PDF with title page, abstract, methodology section, results tables, discussion, and reference list.
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.
Automate academic research today
Stop copying data by hand. ParseFlow extracts structured data from your PDFs in minutes — entirely on your Mac.
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