How to Use AWS Textract API for Extracting Text and Data from Documents - Python (2025)

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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 applications.
- Businesses automating document workflows.
- Data analysts working with scanned or digital documents.

### **Resources Mentioned in the Video:**
- Sample Code (GitHub): [Link to GitHub repo, if applicable]

### **Key Commands and Code Snippets Covered:**
- Installing Boto3:
```bash
pip install boto3
```
- Sample Code for Text Extraction:
```python
import boto3



for block in response['Blocks']:
if block['BlockType'] == 'LINE':
print(block['Text'])
```

### **Pro Tips for AWS Textract Success:**
✅ Ensure your documents are clear and high-quality for better results.
✅ Use S3 for large document storage and process them directly with Textract.
✅ Leverage Textract’s features like key-value pair detection for automating form processing.

### **Don’t Forget to Subscribe!**
If this tutorial helped you, give it a like, share it with your team, and subscribe for more AWS tutorials and machine learning content. Got questions? Drop them in the comments, and we’ll answer them in our next video!

### **Hashtags:**
#AWSTextract #MachineLearning #DocumentProcessing #DataExtraction #AWS #APITutorial #Python #Boto3 #TechTutorial #Automation

Unlock the power of AWS Textract and streamline your document processing workflows today! 🚀📄
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Thank you for this tutorial. Much appreciated.

ezekielthemack
Автор

Hii, this supports punjabi text also ? I have punjabi language pdf in table format ?

ravinarana
welcome to shbcf.ru