📄 Automating Receipt Processing using AWS Services
Managing receipts manually is often time-consuming, error-prone, and difficult to scale. This project focuses on automating receipt processing using AWS cloud-native services to extract, store, and notify users with minimal manual intervention.
Instead of manually handling receipts, this system extracts structured data from receipt images and PDFs, then stores it efficiently for record-keeping and auditing.
🧠 Why This Project?
Whether you're handling receipts for a business, college finance department, or event reimbursements, automating the flow of receipt data improves:
- Accuracy
- Speed
- Scalability
- Real-time notifications
🏗️ Architecture Overview
The project is broken down into modular layers, each powered by a specific AWS service:
📦 Storage Layer
- Amazon S3 Stores uploaded receipt images and PDFs securely.
🧾 Processing Layer
- Amazon Textract Extracts text and structured data using AI-powered OCR.
🗃️ Database Layer
- Amazon DynamoDB Stores the extracted data in a scalable NoSQL database.
📧 Notification Layer
- Amazon SES (Simple Email Service) Sends email alerts with receipt details to users or admins.
⚙️ Compute Layer
- AWS Lambda Automates the receipt processing workflow on new uploads (serverless).
🛠 Services Used
| Service | Purpose | Category |
|---|---|---|
| Amazon S3 | Stores uploaded receipt images and PDFs | Storage |
| Amazon Textract | Extracts text and data from scanned receipts | AI/ML |
| Amazon DynamoDB | Saves structured receipt data | Database |
| Amazon SES | Sends email notifications with receipt summaries | Messaging |
| AWS Lambda | Handles the logic to connect all services seamlessly | Compute |
| IAM Roles | Secure permissions between AWS services | Security |
🔍 Real-Time Use Cases
- Exam Date or Event Announcement System
- Subscription Expiry Alert System
- Seminar/Workshop Attendance Proof Distribution
- College Fee Receipt Automation
- Campus Placement Interview Call Letters
- Vendor Invoice Tracking in Colleges
- Training Completion Record Automation
🚀 What's Next?
In the next section of this article series, we’ll walk through setting up:
- An S3 bucket with triggers
- Textract integration with Lambda
- Storing the result in DynamoDB
- Sending emails via SES
- Securing everything with IAM
Stay tuned! 💡
✍️ Author: Omkar Sharma
📬 Feel free to connect on LinkedIn or explore more on GitHub
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