[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-04 (世界標準時間)。"],[[["\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."]]
