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Overview

Categorized Fields are simplified, pre-categorized versions of structured data extractions. They take the detailed, nested data from Structured Data and flatten it into standardized categories that are optimized for:
  • Exports: Clean, consistent columns for spreadsheet exports
  • Calculations: Pre-computed values ready for aggregation
  • Filtering: Standardized categories for Drive filtering
  • Comparisons: Normalized data across different contract formats

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How It Works

When a contract is processed, Royaltyport first extracts the full structured data with all its detail and nuance. Then, a second layer of processing categorizes this data into standardized fields: 
Contract → Structured Data → Categorized Fields
                ↓                    ↓
          Full detail          Simplified view
          Nested data          Flat categories
          All context          Core elements

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Structured Data vs Categorized Fields

AspectStructured DataCategorized Fields
PurposeComplete extraction with all detailQuick reference and bulk operations
FormatNested, hierarchicalFlat, categorical
ContextFull descriptions, conditionsCategory labels, key values
Use caseUnderstanding a single contractComparing across many contracts
Categorized Fields are derived from Structured Data. If you need to understand the full context or see all the conditions and exceptions, refer to the underlying Structured Data section.

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Available Categorized Fields

Royalties

Base rates by rights type (master/publishing) and revenue category.

Costs

Recoupment percentages by standard cost categories.

Rights

Core rights grants flattened by rights type, control, and exclusivity.

Dates

Reversion dates organized by asset, date, and territory combinations.

Recordings

Main recordings with primary artist information.