// Document Intelligence
Receipt OCR Automation
A production-grade automation service that transforms unstructured purchase receipts into structured financial data.
Role
Senior Backend Engineer
Duration
Sep 2022 - Feb 2024
Project Preview
Receipt OCR Automation
// Project overview
The Project
The receipt-processing system extracts text and financial information from receipt images and converts the results into structured, automation-ready data.
The Challenge
Processing receipts with different layouts and image quality.
Extracting totals, dates, taxes, and merchant information accurately.
Converting raw OCR text into reliable structured data.
Supporting integrations with existing financial systems.
The Solution
Combined OCR engines with NLP-based entity extraction.
Created text-cleaning and normalization pipelines.
Used spaCy to identify important receipt fields.
Exposed the processing workflow through REST APIs.
// Core capabilities
Key Features
Image upload
OCR extraction
Merchant detection
Date extraction
Tax and total extraction
Structured JSON output
// System architecture
How It Works
A receipt image is uploaded through the API.
The image is preprocessed to improve OCR quality.
OCR extracts raw text from the receipt.
NLP identifies merchants, dates, totals, taxes, and line items.
The extracted information is validated and normalized.
The API returns structured JSON data.
// Project impact
Results
Converted unstructured receipts into structured financial records.
Reduced manual receipt-processing effort.
Improved reliability through automated PyTest coverage.