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Comparison

ChromaParse vs generic OCR

Generic OCR tools (Adobe Acrobat, ABBYY, Tesseract) work on most documents. They struggle with chromatography. Here's why, and where they still fit.

Why generic OCR isn’t enough for chromatography

Chromatography PDFs look like they should be OCR-friendly — and they are, for the prose. The trouble starts at the table.

The numerical-fidelity problem

OCR was trained on the world’s text — newspapers, books, forms. Chromatography reports use:

  • 8-10 significant digits (e.g. 2,345,678 peak areas)
  • Scientific notation (e.g. 1.234e+05)
  • Mixed decimal separators depending on locale (5.234 vs 5,234)
  • Tight column spacing that confuses table reconstruction

Even the best generic OCR (ABBYY FineReader, Adobe Acrobat Pro) typically achieves 95-98% character accuracy on dense numerical tables. At 97% accuracy, an 83-page Empower report has 50+ wrong cells. In QC, that’s worse than manual entry — because the error rate is hidden.

The structure problem

A chromatography PDF isn’t just a table. It’s:

  • A trace plot (image)
  • A peak table (structured data, sometimes multi-page)
  • System suitability metrics (separate small table)
  • Sample / method headers (key-value text)

Generic OCR returns text. Reconstructing the four sections into the right relationship requires layout analysis tuned for chromatography report templates — which is exactly what ChromaParse does.

DimensionGeneric OCRChromaParse
Numerical precision95-98%>99.9%
Cross-page tablesOften fragmentsReconstructed correctly
Vendor recognitionNoneAuto-detect Waters/Agilent/Thermo/Shimadzu
Source-traceNonePer-cell page + bbox
Output formatGeneric CSV/ExcelLIMS-ready, schema-validated

Where generic OCR still fits

  • Non-chromatography PDFs — invoices, forms, contracts. Use the right tool.
  • Quick visual extraction — when you just need to read the values, not import them.
  • Languages or scripts ChromaParse doesn’t yet support — generic OCR has broader script coverage if you need it.

When ChromaParse wins

If the PDF is a chromatography report from a supported vendor and you need the data structured, validated, and audit-traceable, generic OCR adds a verification burden that often outweighs its setup simplicity.

Want to try it yourself?