在前面的文章中，我们介绍了 Document AI 专用处理器，以及它们如何通过提供一致的架构和标准化数据来提供有关特定文档类型的智能数据分析，从而减少您需要执行的预处理/后处理工作量。借助 Document AI Workbench，您无需具备机器学习专业知识，即可增量训练预训练处理器，以及从头开始创建自定义处理器。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-04-02。"],[[["This content introduces Document AI, a tool for extracting insights from unstructured data in documents like PDFs and emails, to automate processes and gather analytics."],["The videos and labs demonstrate how to use Document AI via the Google Cloud console or API, including creating and managing Document AI processors."],["General processors, which are pre-trained models for any document type, are covered to learn how to get structured information from documents."],["Specialized processors, designed for documents such as invoices, tax documents, and ID cards, are discussed to get the best intelligent insights from specific document types."],["Document AI Workbench is introduced, highlighting its capabilities for up-training pre-trained processors and creating custom processors without requiring machine learning expertise."]]],[]]
