Science PDF Tables → JSON for Pandas (2026)
Published 2026-05-03
6 min read
Tidy data discipline
Split wide supplements into multiple JSON files, then melt/wide_to_long in pandas — easier than fighting merged cells inside one giant grid.
Human subjects
Keep extracts on encrypted drives — GitHub public repos are never the right home for PHI.
Related: PDF tables finance.
Try PDF to JSON
Irregular science tables to JSON for pandas — keep cohort data off vendors.
Open ToolFrequently asked questions
Wide supplemental tables?
Export JSON per sub-table if the PDF uses ruled groups; melt in pandas for tidy analysis.
P-value columns misaligned?
OCR-heavy scans should run through [OCR PDF](/tools/ocr-pdf) before table extraction — glyphs must be stable.
Join with public datasets?
Merge on standardized accession IDs after you verify no direct identifiers leaked from cohort PDFs.
Repro notebooks?
Check JSON extracts into Git LFS or secure drives — not plain GitHub for human-subject work.
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