Stay organized with collectionsSave and categorize content based on your preferences.
Document AI usesEnterprise Knowledge Graphto normalize and
enrich entity extraction results (for supported fields). For example, the addresses123 Main St Apt 1and123 Main street # 1could be normalized to the same
standardized address.
For each supported field, Document AI also returns anormalizedValuein 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 theentities.normalizedValuefield 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 originalemployer_name"Google Singapore" has been
normalized to "Google Asia Pacific, Singapore".
In the Google Cloud console, the enriched and normalized fields are annotated withG. For example:
Sample normalized field shown in the web application.
Supported processors
Here are the processors and fields that support entity enrichment.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[[["\u003cp\u003eDocument AI normalizes and enriches extracted entities using the Enterprise Knowledge Graph, standardizing variations of the same information, such as addresses.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003enormalizedValue\u003c/code\u003e field in Document AI's response provides the standardized data format for supported fields, reducing the need for manual post-processing.\u003c/p\u003e\n"],["\u003cp\u003eEnriched values, which can be found in the \u003ccode\u003eentities.normalizedValue\u003c/code\u003e field, represent the original extracted text transformed into a standard format.\u003c/p\u003e\n"],["\u003cp\u003eEntity enrichment is available for specific fields in several processors, including Bank Statement Parser, W2 Parser, Pay Slip Parser, Expense Parser, and Invoice Parser.\u003c/p\u003e\n"],["\u003cp\u003eThe enriched field data is subject to change with new processor versions, so users should refer to the Document AI release notes for updates.\u003c/p\u003e\n"]]],[],null,["# Enrichment\n==========\n\nDocument AI uses [Enterprise Knowledge Graph](/enterprise-knowledge-graph/docs/overview) to normalize and\nenrich entity extraction results (for supported fields). For example, the addresses\n`123 Main St Apt 1` and `123 Main street # 1` could be normalized to the same\nstandardized address.\n\nFor each supported field, Document AI also returns a [`normalizedValue`](/document-ai/docs/reference/rest/v1/Document#normalizedvalue)\nin addition to the raw extracted field, normalizing the literal text.\nThis contains the data in a standardized format to reduce post-processing.\n\nMost data belongs to one of the following categories:\n\n- Money\n- Date\n- Timestamp\n- Address\n- Boolean\n- Integer\n- Float\n\nSample response\n---------------\n\nThe enriched values can be found in the\n[`entities.normalizedValue`](/document-ai/docs/reference/rest/v1/Document#NormalizedValue)\nfield as shown in the following truncated sample: \n\n {\n \"entities\": [\n {\n \"textAnchor\": {\n \"textSegments\": [ ... ],\n \"content\": \"Google Singapore\"\n },\n \"type\": \"employer_name\",\n \"mentionText\": \"Google Singapore\",\n \"confidence\": 0.69933707,\n \"pageAnchor\": {\n \"pageRefs\": [\n {\n \"boundingPoly\": {\n \"normalizedVertices\": [ ... ]\n }\n }\n ]\n },\n \"id\": \"9\",\n \"normalizedValue\": {\n \"text\": \"Google Asia Pacific, Singapore\"\n }\n }\n ]\n }\n\nIn the sample, the original `employer_name` \"Google Singapore\" has been\nnormalized to \"Google Asia Pacific, Singapore\".\n\nIn the Google Cloud console, the enriched and normalized fields are annotated with *G*. For example:\nSample normalized field shown in the web application.\n\nSupported processors\n--------------------\n\nHere are the processors and fields that support entity enrichment.\n**Note:** Enriched fields are subject to change with new processor versions. Follow the [Release notes](/document-ai/docs/release-notes) for Document AI updates."]]
