Machine-Readable Data

Plain-language summary

Machine-readable data is data formatted so software can process it directly and consistently without guessing what fields mean from visual layout.

Why it matters

• Reduces extraction errors caused by changing document templates
• Improves consistency across producer and consumer systems
• Supports more reliable analytics, BI, and model workflows

AXIS role

AXIS defines shared appraisal semantics and structure so AR and APR data can be exchanged in a machine-readable way.

EPM role

EPM carries machine-readable payloads with processing metadata so data can be transported predictably.

Common misunderstanding

Machine-readable does not mean human-unreadable. A PDF can remain the presentation artifact while machine-readable data travels with it.