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🤖 Recognize Text with AI Builder

📅 Published Date: March 7, 2025    ✍ Author: Pranay Reddy Muthyala

📌 Introduction

Extracting text from images and documents is a common challenge in business automation. AI Builder’s Text Recognition model in Microsoft Power Platform provides an easy way to scan, extract, and process text using Optical Character Recognition (OCR) technology.

This blog post explores how AI Builder’s Text Recognition model can be used to solve business problems, automate workflows with Power Automate, and build AI-powered applications in Power Apps—all without requiring complex AI development.

🧠 Understanding AI Builder’s Text Recognition Model

AI Builder’s Text Recognition model allows businesses to digitize text from printed or handwritten documents and integrate it into automated workflows.

🔹 Key Capabilities

✔ Extracts printed and handwritten text from images and PDFs.
✔ Processes structured and unstructured text for automation.
✔ Seamlessly integrates with Power Automate and Power Apps.
✔ Works with SharePoint, Dataverse, OneDrive, and more for storage.

🔍 Solving Business Problems with Text Recognition

AI-powered text extraction solves manual data entry challenges across various industries. Some real-world use cases include:

1️⃣ Automating Data Entry from Forms

💡 Problem: Businesses rely on paper-based forms for registrations and surveys, requiring manual data entry.
✅ Solution: AI Builder extracts text automatically, reducing human errors and processing time.

2️⃣ Processing Invoices & Receipts in Finance

💡 Problem: Financial teams spend time extracting invoice details manually.
✅ Solution: AI-powered text recognition extracts invoice numbers, amounts, and vendor names automatically.

3️⃣ ID Verification & Document Processing

💡 Problem: Businesses manually process ID cards, passports, and contracts.
✅ Solution: AI Builder scans IDs and extracts key details for validation, speeding up onboarding.

4️⃣ Enhancing Searchability of Documents

💡 Problem: Scanned documents in SharePoint are not searchable.
✅ Solution: AI Builder converts text into structured data, making document retrieval easier.

By using AI Builder, businesses can automate time-consuming processes and focus on high-value tasks.

🛠️ Automating Text Recognition with Power Automate

Manually extracting text from images can be time-consuming and error-prone. By integrating AI Builder’s Text Recognition model into Power Automate, businesses can automate text extraction and processing, ensuring a seamless workflow for handling invoices, forms, and other documents.

📌 Steps to Build a Power Automate Flow for Text Recognition:

1️⃣ Create a New Flow in Power Automate – Select a trigger like “When a file is created in OneDrive”.

2️⃣ Add AI Builder’s Text Recognition Action – Connect the Predict > TextRecognition model action with File Content in the Image file drop-down menu to extract text dynamically.

3️⃣ Store the Extracted Text – Save recognized text in Dataverse, SharePoint, Excel, or SQL Database.

4️⃣ Notify Users (Optional) – Use Power Automate notifications or Teams messages for real-time alerts.
5️⃣ Test & Deploy – Run the flow with test images, verify accuracy, and enable automation.

📌 Real-World Use Cases for AI Builder in Power Automate:
✔ Processing invoices automatically.
✔ Extracting contract details for legal teams.
✔ Digitizing handwritten notes into structured data.

📱 Building a Power Apps Application for Text Recognition

Power Apps allows users to integrate AI Builder’s Text Recognition model into applications for real-time text extraction.

📌 Steps to Build a Text Recognition App:

1️⃣ Create a Canvas App – Open Power Apps Studio, create a Canvas app from blank.
2️⃣ Insert AI Builder Component – Go to Insert > AI Builder > Text Recognizer.
3️⃣ Configure Image Input – Add a Camera control to capture text dynamically.
4️⃣ Display Extracted Text – Insert a Label and set its value to:

TextRecognizer1.Text

5️⃣ Test & Publish – Capture images, extract text, and store it in Dataverse or SharePoint.

📌 Real-World Use Cases for AI Builder in Power Apps:
✔ Scanning business cards into a CRM.
✔ Extracting handwritten feedback in surveys.
✔ Automating ID verification for onboarding.

📊 Benefits of AI Builder’s Text Recognition

✔ Automates data entry – Reduces manual work and increases productivity.
✔ Improves accuracy – Extracts text with minimal errors.
✔ Speeds up processing – Automates workflows, reducing delays.
✔ Enhances accessibility – Converts printed text into digital format for easier access.

By leveraging AI-powered OCR technology, businesses can transform their document processing workflows, improve efficiency, and automate text extraction seamlessly. 🚀

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