在上一集，我們討論了 Document AI 中的一般處理器，適用於大多數文件。不過，您知道嗎？還有更多專為處理發票、稅務文件和身分證等文件而設的處理器。在本集節目中，我們將討論如何使用 Document AI 處理以下文件：銀行對帳單、W2 表單、美國護照、水電費帳單、身分證明、薪資單、美國駕照、支出表和應付憑據。
[[["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\u003eThis content introduces Document AI, a tool for extracting insights from unstructured data in documents like PDFs and emails, to automate processes and gather analytics.\u003c/p\u003e\n"],["\u003cp\u003eThe videos and labs demonstrate how to use Document AI via the Google Cloud console or API, including creating and managing Document AI processors.\u003c/p\u003e\n"],["\u003cp\u003eGeneral processors, which are pre-trained models for any document type, are covered to learn how to get structured information from documents.\u003c/p\u003e\n"],["\u003cp\u003eSpecialized processors, designed for documents such as invoices, tax documents, and ID cards, are discussed to get the best intelligent insights from specific document types.\u003c/p\u003e\n"],["\u003cp\u003eDocument AI Workbench is introduced, highlighting its capabilities for up-training pre-trained processors and creating custom processors without requiring machine learning expertise.\u003c/p\u003e\n"]]],[],null,["# Introduction videos & labs\n\nIntroduction videos \\& labs\n===========================\n\nThe videos on this page cover the fundamental concepts of Document AI.\nEach video has companion labs which provide step-by-step guides to get\nexperience using the features presented in the video.\n\nWhat is Document AI?\n--------------------\n\nWelcome to the future of documents, a series that helps you make the most of\nyour unstructured data with Document AI. There's an enormous amount of data\nin the documents we interact with, such as PDFs and emails, that contain unstructured\nor *dark* data. Join us for this series, where we show how you can\nuse this data to automate processes, gather analytics, and more.\n\n[Document AI Introductory codelab code](https://goo.gle/3OVnmnO)\n\nHow to use Document AI\n----------------------\n\nWant to learn how to use Document AI? This video shows how you can get started\nwith Document AI using the Google Cloud console or with the API using the python\nclient library. Watch to learn about Document AI processors, and see how you\ncan create your own.\n\n[Document AI Introductory codelab code](https://goo.gle/3OVnmnO)\n\n[Document AI processor management codelab code](https://goo.gle/3RqiWGJ)\n\nGeneral processors in Document AI\n---------------------------------\n\nIn this video, we take a deep dive into general processors. These are pre-trained\nand ready-to-use models designed to work on any document. Watch along and learn\nhow to get detailed structured information from documents with general processors\nin Document AI.\n\n[Document AI OCR codelab code](https://goo.gle/3oiqC0F)\n\n[Document AI form parsing codelab code](https://goo.gle/3PHROl4)\n\nSpecialized processors in Document AI\n-------------------------------------\n\nIn the previous episode, we discussed general processors in Document AI for most\ndocuments. However, did you know that there are more specialized processors for\ndocuments such as invoices, tax documents, and identification cards? In this episode,\nwe discuss how to use Document AI for: bank statements, W2s, US passports, utility bills,\nID proofing, paystubs, US driver's licenses, expenses, and invoices.\n\n[Document AI Specialized Processors Codelab code](https://goo.gle/3dk025d)\n\nDocument AI Workbench\n---------------------\n\nPreviously, we looked at Document AI specialized processors and how they can\nprovide intelligent insights into certain document types by providing consistent\nschemas and normalizing data to reduce the amount of pre/post-processing you need\nto perform. [Document AI Workbench](/document-ai/docs/workbench/training-overview) allows\nup-training of pre-trained processors and creating custom processors\nfrom scratch, without machine learning expertise.\n\n[Document AI Workbench: Uptraining Guidecode](/document-ai/docs/workbench/uptrain-processor)\n\n[Document AI Workbench: Custom Document Extractor Guidecode](/document-ai/docs/workbench/build-custom-processor)\n\n[Document AI Workbench: Custom Document Classifier Guidecode](/document-ai/docs/workbench/build-custom-classification-processor)\n\n[Document AI Workbench: Custom Document Splitter Guidecode](/document-ai/docs/workbench/build-custom-splitter-processor)"]]
