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Letzte Aktualisierung 1. Apr. 2026

Aktivitäten

In der folgenden Tabelle sind die Aktivitäten aufgeführt, die im Azure Form Recognizer-Aktivitätspaket enthalten sind.

AktivitätBeschreibung
Formular analysierenExtracts 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).
Analysieren Formular asynchronExtrahiert asynchron Schlüssel-Wert-Paare und Tabellendaten aus einem angegebenen Dokument mithilfe eines angegebenen Trainingsmodells. Nach Abschluss des Vorgangs gibt die Aktivität den Speicherort der Ergebnisse in einer String aus.
Formularergebnis analysieren . abrufenAsynchronously 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).
Beleg analysierenExtracts 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).
Beleg asynchron analysierenExtrahiert asynchron Feldtext und Semantikwerte aus einem angegebenen Belegdokument. Nach Abschluss des Vorgangs gibt die Aktivität den Speicherort der Ergebnisse in einer String aus.
Ergebnis der „Beleganalyse“ abrufenAsynchronously 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).
Layout analysierenExtracts 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).
Analyze Layout asyncExtrahiert asynchron Layoutinformationen aus einem angegebenen Dokument. Nach Abschluss des Vorgangs gibt die Aktivität den Speicherort der Ergebnisse in einer String aus.
Ergebnis „Layout analysieren“ abrufenAsynchronously 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).
Modell trainierenCreates 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).
Modelle abrufenRetrieves 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).
Modellinformationen abrufenRetrieves 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.
Modell löschenLöscht ein bestimmtes Modell.

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