document-understanding
latest
false
- Überblick
- Erste Schritte
- Aktivitäten
- UiPath.DocumentProcessing.Contracts
- UiPath.DocumentUnderstanding.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Aktivitäten (UiPath.IntelligentOCR.Activities)
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.Omnipage.Activities
- UiPath.PDF.Aktivitäten (UiPath.PDF.Activities)
- Insights-Dashboards
- Document Understanding-Prozess
- Schnellstart-Tutorials
- Framework-Komponenten
- Überblick
- Document Understanding-Aktivitäten
- Übersicht zur Dokumentklassifizierung
- „Klassifizierer konfigurieren“-Assistent von Classify Document Scope
- Intelligenter Schlüsselwortklassifizierer
- Schlüsselwortbasierte Classifier (Keyword Based Classifier)
- Machine Learning Classifier
- Generativer Klassifizierer
- Dokumentklassifizierung – verwandte Aktivitäten
- Datenverbrauch
- API-Aufrufe
- Modelldetails
- Überblick
- Document Understanding – ML-Paket
- DocumentClassifier – ML-Paket
- ML-Pakete mit OCR-Funktionen
- 1040 – ML-Paket
- 1040 Anlage C – ML-Paket
- 1040 Anlage D – ML-Paket
- 1040 Anlage E – ML-Paket
- 1040x – ML-Paket
- 3949a – ML-Paket
- 4506T – ML-Paket
- 709 – ML-Paket
- 941x – ML-Paket
- 9465 – ML-Paket
- ACORD125 – ML-Paket
- ACORD126 – ML-Paket
- ACORD131 – ML-Paket
- ACORD140 – ML-Paket
- ACORD25 – ML-Paket
- Bank Statements – ML-Paket
- BillsOfLading – ML-Paket
- Certificate of Incorporation – ML-Paket
- Certificates of Origin – ML-Paket
- Checks – ML-Paket
- Children Product Certificate – ML-Paket
- CMS1500 – ML-Paket
- EU Declaration of Conformity – ML-Paket
- Financial Statements – ML-Paket
- FM1003 – ML-Paket
- I9 – ML-Paket
- ID Cards – ML-Paket
- Invoices – ML-Paket
- InvoicesAustralia – ML-Paket
- InvoicesChina – ML-Paket
- Rechnungen Hebräisch – ML-Paket
- InvoicesIndia – ML-Paket
- InvoicesJapan – ML-Paket
- Invoices Shipping – ML-Paket
- Packing Lists – ML-Paket
- Gehaltsabrechnungen (Pay slips) – ML-Paket
- Passports – ML-Paket
- Purchase Orders – ML-Paket
- Zahlungsbelege – ML-Paket
- RemittanceAdvices – ML-Paket
- UB04 – ML-Paket
- Utility Bills – ML-Paket
- Vehicle Titles – ML-Paket
- W2 – ML-Paket
- W9 – ML-Paket
- Andere out-of-the-box ML-Pakete
- Öffentliche Endpunkte
- Einschränkungen für den Datenverkehr
- OCR-Konfiguration
- Pipelines
- OCR-Dienste
- Unterstützte Sprachen
- Deep Learning
- Daten und Sicherheit
- Lizenzierungs- und Gebührenlogik
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Document Understanding classic user guide
Letzte Aktualisierung 23. Apr. 2026
IntelligentOCR-Aktivitäten
With Intelligent OCR activities you can process documents in a comprehensive manner, allowing you to not only digitize, extract, classify, and validate documents, but also train your extractor and classifiers on your specific data, so they can be faster and more accurate. The steps involved in creating Document UnderstandingTM processes using Intelligent OCR activities are:
- Create the Taxonomy: Define document types and convert them into a Document Object Model variable using the Load Taxonomy activity.
- Digitize documents: Prepare documents so robots can process them using an OCR engine, by storing their text inside a String variable, and basic information about them inside a Document Object Model file.
- Classify documents: Prepare documents using certain classifiers, so robots can identify what types of files they're processing.
- Validate the classification of documents: Verify and validate that the documents have been correctly classified.
- Train your classifiers: Configure your classifiers based on input received while validating the classification
- Extract data from documents: Identify and extract specific information from your documents using various extractors to send it for validation.
- Validate the extractions documents: Verify and validate the documents you processed, classified, and extracted, using the input of your team members within Action Center.
- Train your extractors: Configure your extractors based on input received while validating the extraction.
- Consume exported data: Once you validate the extracted data, you can use it as it is or export it as a DataSet variable using the Export Extraction Results activity.
Bevor Sie beginnen
Bevor Sie IntelligentOCR.Activities verwenden, überprüfen Sie die folgenden Eigenschaften:
- Hohe Konfigurierbarkeit, was auch eine steile Lernkurve beinhaltet.
- Das Vorhandensein mehrerer Objekte und Aktivitäten, die für Flexibilität sorgen.
- Eingeschränkte Wiederverwendbarkeit aufgrund der folgenden Komplexitäten:
- Sie müssen zahlreiche Konfigurationen innerhalb des Workflows konfigurieren.
- Sie müssen wiederholt explizite Argumente von einer Aktivität zur anderen übergeben, z. B.:
- Taxonomie
- Dokumentobjektmodell
- Text
- Klassifizierungsergebnisse
- Extraktionsergebnisse