Looking to extract text and data from documents using AWS Textract? 📝 In this video, we’ll walk you through the process of using the AWS Textract API to extract text, tables, and structured data from scanned documents, PDFs, and images. This tutorial is perfect for developers, businesses, and data analysts looking to automate document processing with the power of machine learning.
### **What You’ll Learn in This Video:**
1️⃣ **What is AWS Textract?** A quick introduction to AWS Textract and its features for text and data extraction.
2️⃣ **Setting Up Your AWS Environment:** Learn how to configure AWS Textract in your account, including IAM roles and permissions.
3️⃣ **Installing the AWS SDK:** Set up the AWS SDK for Python (Boto3) to interact with the Textract API.
4️⃣ **Extracting Text with Textract:** Use the Textract API to extract text and data from documents.
5️⃣ **Working with Key-Value Pairs and Tables:** Learn how to extract structured data like forms and tables.
6️⃣ **Practical Demo:** Watch as we walk through a hands-on coding example for processing a sample document.
### **Why Use AWS Textract?**
AWS Textract uses advanced machine learning to extract text and structured data automatically, saving time and reducing errors compared to manual data entry. It supports a variety of use cases, including processing invoices, forms, legal documents, and more.
### **Who Is This Tutorial For?**
- Developers integrating document processing into their ap
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2025/01/26
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