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Marketplace 用户指南

上次更新日期 2026年4月1日

Activities (活动)

下表列出了 Azure 表单识别器活动包中包含的活动。

活动描述
分析表单Extracts key-value pairs and table data from a specified document using a specified training model. After completing the analyze form operation, the activity outputs the results in an AnalyzeOperationResult object and a Page[] object. Both of these outputs can be used as input variables in subsequent activities (e.g., conditional logic).
分析表单异步使用指定的训练模型从指定文档中异步提取键值对和表格数据。 完成操作后,该活动会在 String中输出结果的位置。
获取分析表单结果Asynchronously retrieves the results of previously run form analysis operation. After completing the operation, the activity outputs the operation status in a String, and the results in an AnalyzeOperationResult object and a Page[] object. All outputs can be used as input variables in subsequent activities (e.g., conditional logic).
分析收据Extracts field text and semantic values from a specified receipt document. After completing the operation, the activity outputs the recognition results in an AnalyzeOperationResult object and the understanding results in Receipt[] object. Both of these outputs can be used as input variables in subsequent activities (e.g., conditional logic).
分析收据异步从指定的收据文档中异步提取字段文本和语义值。 完成操作后,该活动会在 String中输出结果的位置。
获取分析收据结果Asynchronously retrieves the results of previously run receipt analysis operation. After completing the operation, the activity outputs the operation status in a String, and the results in an AnalyzeOperationResult object and a Receipt[] object. All outputs can be used as input variables in subsequent activities (e.g., conditional logic).
分析布局Extracts layout information from a specified document. After completing the operation, the activity outputs the recognition results in an AnalyzeOperationResult object and the understanding results in Page[] object. Both of these outputs can be used as input variables in subsequent activities (e.g., conditional logic).
异步分析布局从指定文档中异步提取布局信息。 完成操作后,该活动会在 String中输出结果的位置。
获取分析布局结果Asynchronously retrieves the results of previously run layout analysis operation. After completing the operation, the activity outputs the operation status in a String, and the results in an AnalyzeOperationResult object and a Page[] object. All outputs can be used as input variables in subsequent activities (e.g., conditional logic).
训练模型Creates and trains a new custom model. After completing the train model operation, the activity outputs the identifier assigned to the model as a String that you can use as an input variable in subsequent activities (e.g., Get Model Info).
获取模型Retrieves the training models that have been created for the Azure resource specified in the Azure Form Recognizer Scope activity. After completing the get models operation, the activity outputs the details of each retrieved model in a ModelInfo[] object that you can use as an input variable in subsequent activities (e.g., ModelInfo(0).ModelId.ToString in the Get Model Keys activity).
获取模型信息Retrieves information about a specified model. After completing the get model operation, the activity outputs the model information in a ModelInfo object, the extracted keys in a KeyResult object, and the model train results in a TrainResult object.
删除模型删除指定模型。

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