- Visão geral
- Processo do Document Understanding
- Tutoriais de início rápido
- Componentes do framework
- Pacotes de ML
- Pipelines
- Document Manager
- Serviços de OCR
- Document Understanding implantado no Automation Suite
- Document Understanding implantado no AI Center autônomo
- Aprendizagem profunda
- Treinamento de modelos de alto desempenho
- Licenciamento
- Referências
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.DocumentProcessing.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
As a Studio workflow, you could use the Document Understanding Process.
Use o Form Extractor, Intelligent Form Extractor e Intelligent Keyword Classifier
Double click the workflow in the framework, and replace the endpoint per instruction here and add the Document Understanding license key.
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Ponto de extremidade: o URL público de Acesso aos modelos
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ChaveDaAPI: copie-a do Automation Suite (Admin > Licenças > Robô e serviços > Document Understanding)
Run the workflow. The robot will process the documents one by one. When the Validation Station pops up, click OK to test if the workflow is running properly.
Usar o extrator de machine learning personalizado
Double click the workflow in the framework and replace the endpoint with the public ML Skill endpoint from the deployed ML package following the instruction here and add the Document Understanding license key.
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Endpoint: the public ML Skill endpoint from Deploy an out-of-the-box ML Package
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ChaveDaAPI: copie-a do Automation Suite (Admin > Licenças > Robô e serviços > Document Understanding)
Run the workflow. The robot will process the documents one by one. When the Validation Station pops up, click OK to test if the workflow is running properly.