Enrichment

Document AI uses Enterprise Knowledge Graph to normalize and enrich entity extraction results (for supported fields). For example, the addresses 123 Main St Apt 1 and 123 Main street # 1 could be normalized to the same standardized address.

For each supported field, Document AI also returns a normalizedValue in addition to the raw extracted field, normalizing the literal text. This contains the data in a standardized format to reduce post-processing.

Most data belongs to one of the following categories:

• Money
• Date
• Timestamp
• Address
• Boolean
• Integer
• Float

Sample response

The enriched values can be found in the entities.normalizedValue field as shown in the following truncated sample:

{   "entities": [     {       "textAnchor": {         "textSegments": [ ... ],         "content": "Google Singapore"       },       "type": "employer_name",       "mentionText": "Google Singapore",       "confidence": 0.69933707,       "pageAnchor": {         "pageRefs": [           {             "boundingPoly": {               "normalizedVertices": [ ... ]             }           }         ]       },       "id": "9",       "normalizedValue": {         "text": "Google Asia Pacific, Singapore"       }     }   ] } 

In the sample, the original employer_name "Google Singapore" has been normalized to "Google Asia Pacific, Singapore".

In the Google Cloud console, the enriched and normalized fields are annotated with G. For example:

Supported processors

Here are the processors and fields that support entity enrichment.