How to Extract Structured Data from Indian Invoice Scans and Images

How to Extract Structured Data from Indian Invoices Using Python (GST, Fuel, Telecom, IRCTC) If you've ever built an expense management tool, accounting integration, or GST reconciliation system for Indian businesses, you know the problem: Indian invoices are a mess. A Jio bill is 7 pages long but has only one useful page. A petrol pump receipt has handwritten amounts in blue ink over a printed template. An IRCTC ticket has the GST invoice buried on page 2. A Starbucks receipt is a blurry photo taken at an angle on a phone. Traditional OCR tools like AWS Textract or Google Vision extract raw text — but they don't understand that 94:14 written on a fuel receipt means 94.14 litres , or that a GSTIN has a checksum you can validate, or that you should ignore the 80-row data usage table in a Jio bill and focus on the summary. That's the problem I built BharatParse to solve — an API that turns any Indian invoice, bill, or receipt into clean, validated JSON with a single POST request. In this