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Microsoft Power Automate offers various Artificial Intelligence (AI) options for processing documents in both desktop and cloud flows. These options enable developers to automate document processing tasks efficiently and accurately. In this article, we will explore some of the AI capabilities provided by Microsoft for document processing in Power Automate.
1. Form Processing AI Model
Power Automate offers a pre-built AI model called the Form Processing model, which is specifically designed to extract key-value pairs from form documents. This AI model leverages machine learning to automatically extract information from documents such as invoices, receipts, and application forms. With the Form Processing AI model, developers can eliminate manual data entry and streamline document processing.
To integrate the Form Processing AI model into your Power Automate flow, you need to utilize the “AI Builder” connector. This connector provides actions like “Analyze a form” and “Get response details” that enable you to extract data from forms and process it further. You can train the model with sample documents to improve its accuracy and enhance its ability to extract specific fields.
Here’s an example of how to integrate Form Processing into Power Automate using the AI Builder connector:
2. Text Analytics AI Model
Power Automate also provides a Text Analytics AI model for extracting insights from unstructured text. This AI model can perform tasks like sentiment analysis, key phrase extraction, language detection, and more. By integrating the Text Analytics model into your Power Automate flow, you can gain valuable insights from text-based documents such as customer feedback, social media posts, and reviews.
To leverage the Text Analytics AI model, you can use the “Text Analytics” connector within Power Automate. This connector offers actions like “Detect language”, “Extract key phrases”, and “Analyze sentiment” that allow you to analyze text and extract meaningful information.
Here’s an example of how to use the Text Analytics connector in Power Automate:
These are just a few examples of how you can leverage Microsoft AI capabilities in Power Automate for document processing. By integrating the Form Processing and Text Analytics AI models into your flow, you can automate and streamline various document-related tasks, increasing efficiency and reducing manual effort. Explore the Microsoft documentation to learn more about AI capabilities in Power Automate and discover additional functionalities that can enhance your document processing workflows.
Answer the Questions in Comment Section
Which Microsoft AI option can be used for processing documents in both desktop and cloud flows in Microsoft Power Automate?
- a) AI Builder
- b) Azure Cognitive Services
- c) Power Virtual Agents
- d) Power Apps
Correct answer: b) Azure Cognitive Services
Which Microsoft AI option provides pre-built document extraction models to process forms and receipts?
- a) Azure Synapse Analytics
- b) Azure Machine Learning
- c) AI Builder
- d) Azure Bot Service
Correct answer: c) AI Builder
True or False: AI Builder is only available in the cloud and cannot be used in desktop flows.
Correct answer: False
Which Microsoft AI service enables the extraction of key-value pairs and tables from documents?
- a) Azure Bot Service
- b) Azure Text Analytics
- c) Azure Cognitive Search
- d) Azure Form Recognizer
Correct answer: d) Azure Form Recognizer
True or False: Power Virtual Agents can be integrated with Azure Cognitive Services to process documents in desktop flows.
Correct answer: False
Which Microsoft AI service provides natural language processing capabilities for text extraction and analysis?
- a) Azure AI Text Analytics
- b) Azure QnA Maker
- c) Azure Automatic Speech Recognition
- d) Azure Machine Learning
Correct answer: a) Azure AI Text Analytics
True or False: Power Apps can directly process documents in desktop and cloud flows without using any external AI services.
Correct answer: False
Which Microsoft AI option provides a drag-and-drop interface for building AI models without writing any code?
- a) Azure Cognitive Services
- b) Azure Machine Learning
- c) Power Virtual Agents
- d) AI Builder
Correct answer: d) AI Builder
Which Microsoft AI service enables the extraction of handwritten text from scanned documents?
- a) Azure Cognitive Services
- b) Azure Custom Vision
- c) Azure Ink Recognizer
- d) Azure Bot Service
Correct answer: c) Azure Ink Recognizer
True or False: Azure Cognitive Search can be used to index and search text from documents in desktop and cloud flows.
Correct answer: True
Can someone explain how AI Builder fits into processing documents in desktop flows?
What are the key differences between using Azure Cognitive Services and AI Builder for document processing?
Appreciate the blog post, it was very helpful!
Is there a way to automate document approval workflows using these AI tools?
I found the integration with Power Platform a bit cumbersome.
Does AI Builder support other languages for document processing?
Can you use both AI Builder and Azure Cognitive Services in the same workflow?
Thanks for this blog post!