Indian fintech has grown into one of the world's largest ecosystems. If you are building a financial app that needs bank statement data, there are several infrastructure layers to understand.
The Account Aggregator network
The AA network, backed by RBI, gives licensed financial information users (FIUs) access to consented financial data from account aggregators. To use it, you need to be a licensed FIU. SAHAMATI (sahamati.org.in) is the industry body for the AA ecosystem. This is the official, consent-first approach for Indian fintech.
PDF parsing APIs
Several companies provide APIs that accept bank statement PDFs and return structured JSON with transaction data. These typically handle 30+ Indian bank formats. The parsed output includes transaction date, description, amount, type (debit/credit), and balance. This approach does not require the AA license.
Bank-specific APIs
A few Indian banks have opened direct APIs for fintechs to access account data with customer consent. These are available through partnerships and the IndiaStack ecosystem. Typical use cases include loan underwriting, account verification, and cash flow analysis.
Building your own parser
If you are a developer parsing PDFs yourself, the main challenge is handling the format differences across 30+ banks. Each bank has a different PDF structure, date format, and narration style. A robust parser needs to detect the bank from the PDF header and apply bank-specific extraction rules.
Related reading: The Account Aggregator Framework India, Convert Bank Statement PDF to Excel, The Future of Bank Statements in India.