Sci-Data-Extractor

AI-powered tool for extracting structured data from scientific literature PDFs. Converts tables, figures, and text from research papers into Markdown tables or CSV files using PyMuPDF (free) or Mathpix OCR (high-precision) plus an LLM extraction layer.

When to Use

• Extracting enzyme kinetics parameters (Km, Kcat, Kcat/Km) from biochemistry papers
• Converting experimental result tables from PDFs to structured CSV or Markdown
• Building a literature review dataset from multiple paper PDFs
• Batch-processing a folder of PDFs into a unified dataset
• Parsing complex tables or chart data points that require AI assistance

When Not to Use

• The paper is already in a machine-readable format (XML, JSON, HTML) — parse it directly
• You only need the abstract or title — use semantic-scholar-search instead
• The PDF is scanned at low resolution with no embedded text and Mathpix is unavailable — results will be unreliable
• You need real-time citation counts or DOI resolution — use semantic-scholar-search