Most conversations about document AI focus on one metric: OCR accuracy.
But OCR accuracy alone does not make data usable.
What actually matters is structure:
- Reading order
- Document hierarchy
- Section boundaries
- Table integrity
If structure breaks, columns get mixed together, headers disconnect from values, and AI systems start guessing.
The goal is not just text extraction. The goal is a structured, machine-usable representation that downstream systems can trust.
That distinction matters more than most buyers realize.