Design Tables for Clarity

Tables are frequently used to present structured information such as ingredient lists, dosage data, or compliance details. Poorly constructed tables can cause extraction or alignment errors during proofing, leading to missed discrepancies or incorrect data interpretation.

Best Practices

  • Keep grid lines, borders, and cell boundaries consistent across all pages and versions.
  • Avoid overly complex merged cells, which can interfere with text recognition and comparison accuracy.
  • Maintain uniform spacing within cells and align text consistently (left, center, or right) based on the data type.
  • Ensure tables remain editable and structured β€” avoid exporting them as flat images.

Why it matters for proofing?

Clean, structured tables allow the proofing engine to accurately detect cell content and alignment. If tables are inconsistent or flattened, text extraction becomes unreliable, increasing the risk of missed differences in numerical or regulatory data.

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