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    Microsoft AI Builder Tutorial - Extract Data from PDF

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    Microsoft AI Builder Tutorial - Extract Data from PDF

    Today, we are going to explore how to extract data from a PDF document automatically using AI with Microsoft AI Builder. This tutorial will guide you through the process of building and training your AI model to extract information from PDFs easily. By following simple steps, you can streamline data extraction tasks and enhance efficiency in your workflow.

    At the Kevin Cookie Company, the narrator receives cookie orders as PDF attachments in emails, leading to a tedious manual process of copying and pasting data into a separate system. Instead of this time-consuming task, they opt to utilize Microsoft AI Builder to automate the data extraction process. The tutorial emphasizes that creating and training an AI model with Microsoft AI Builder is straightforward and user-friendly, requiring minimal effort.

    Tutorial Summary

    The tutorial walks through the steps of using Microsoft AI Builder to train an AI model for extracting data from PDFs. It covers creating a custom model, training the model with sample data, testing the model's accuracy, and incorporating the model into a Power Automate flow. By following the steps outlined in the tutorial, users can efficiently extract data from PDF documents, saving time and streamlining processes.

    Keywords

    • Microsoft AI Builder
    • PDF data extraction
    • Custom AI model
    • Power Automate
    • Data automation
    • Training AI
    • Document processing
    • Workflow optimization

    FAQ

    1. Can anyone use Microsoft AI Builder for PDF data extraction?

      • Yes, anyone with a work or school Microsoft account and access to an AI Builder license through their organization can utilize Microsoft AI Builder for extracting data from PDF documents.
    2. What are the steps involved in training an AI model with Microsoft AI Builder for PDF extraction?

      • The process includes creating a custom model, selecting data fields to extract, uploading sample documents for training, tagging data in the documents, training the model, testing its accuracy, and finally, incorporating it into a workflow using Power Automate.
    3. How can the extracted data be used after training the AI model?

      • Once the AI model is trained and integrated into a workflow, the extracted data can be automatically processed, such as adding it to a spreadsheet, sending it in an email, inserting it into a messaging platform like Teams, or any other desired action within the Power Automate ecosystem.

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