- Visão geral
- Processo do Document Understanding
- Tutoriais de início rápido
- Componentes do framework
- Pacotes de ML
- Pipelines
- Gerenciador de Dados
- Serviços de OCR
- Document Understanding implantado no Automation Suite
- Document Understanding implantado no AI Center autônomo
- Implantar o UiPathDocumentOCR
- Instalação offline de pacotes de ML
- Use o Document Manager
- Usar modelos do Document Understanding (incluindo UiPathDocumentOCR)
- Aprendizagem profunda
- Crie um modelo de ML 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
Please first check how to deploy UiPathDocumentOCR or an out-of-the-box ML Package on AI Center standalone.
Clique duas vezes no fluxo de trabalho no framework, selecione a habilidade de ML no menu suspenso e adicione a chave de API. Se você instalou a versão offline do AI Center autônomo, nenhuma chave de API é necessária.
You need to make sure the robot is connected to the same Orchestrator as AI Center.
Alternatively, you also have the option to use the public ML Skill endpoint. Just simply replace the endpoint with the public ML Skill endpoint from the deployed ML package following the instructions 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.