- Überblick
- 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
- ML-Pakete
- 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
- 990 – ML-Paket – Vorschau
- 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
- InvoicesChina – ML-Paket
- Rechnungen Hebräisch – ML-Paket
- InvoicesIndia – ML-Paket
- InvoicesJapan – ML-Paket
- Invoices Shipping – ML-Paket
- Packing Lists – ML-Paket
- Passports – ML-Paket
- Gehaltsabrechnungen (Pay slips) – 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
- Hardwareanforderungen
- Pipelines
- Dokumentmanager
- OCR-Dienste
- Unterstützte Sprachen
- Deep Learning
- Insights-Dashboards
- Document Understanding – in der Automation Suite bereitgestellt
- Document Understanding – im eigenständigen AI Center bereitgestellt
- Lizenzierung
- Aktivitäten
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentProcessing.Contracts
- 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)
Document Understanding-Benutzerhandbuch.
Extraktor für intelligente Formulare
Zweck des Intelligent Form Extractor
The Intelligent Form Extracor activity is deprecated. Please use the Form Extractor activity instead, which now contains all the Intelligent Form Extractor features.
The Intelligent Form Extractor is a specialized tool for processing fixed-layout documents for data extraction. You can use it to processing all types of forms that are printed or handwritten. You can also use it to check whether the form is signed or not.
Dieser Extraktor verfügt über keine Lernfunktionen (Training) und muss vorab konfiguriert werden.
Weitere Informationen zum Intelligent Form Extractor:
- Intelligent Form Extractor activity page
- Taxonomy Manager - setup instructions
- Template Manager wizard - setup instructions
- Anchorbased workflow example
Spezielle Anforderungen
You need to use your Automation CloudTM Document UnderstandingTM API Key, or host your own instance of the Intelligent Form Extractor in AI Center on-prem, to use this extractor.
Konfigurieren
Activity configuration
Der Intelligent Based Extractor verfügt über zwei Hauptkonfigurationen, die berücksichtigt werden müssen:
- Der Vorlagenmanager-Assistent – mit dem Sie Vorlagen definieren können, die auf eingehende Dokumente angewendet werden sollen. Dieser Assistent stellt die Einstellungen für den Vorlageneditor und die Booleschen Feldinterpretation zur Verfügung.
- the MinOverlapPercentage setting - that allows you to control how strict the value area matching should be. Accepts a value between 0 and 100, and it controls what words are accepted or rejected from being part of a given value, based on how well their location fits the area defined in the template.