Introduction

Manual data extraction from bank statements is time-consuming, error-prone, and inefficient—especially in high-volume financial operations. The Bank Statement PDF Parsing API automates this process by extracting structured financial data from PDF bank statements with speed and accuracy.

This API intelligently parses transaction details, account summaries, balances, and metadata from various bank statement formats, transforming them into clean, machine-readable data. It supports a wide range of banks and layouts, making it ideal for use in lending, credit scoring, financial analysis, KYC, and expense management workflows.

By integrating the Bank Statement PDF Parsing API, businesses can streamline financial processing, reduce manual effort, improve data accuracy, and accelerate decision-making in real-time.

Benefits of Bank Statement PDF Parsing API

Automated Data Extraction

Eliminates manual data entry by converting unstructured bank statements into structured formats instantly.

Supports Multiple Bank Formats

Handles a wide variety of bank statement templates and layouts across different institutions.

High Accuracy

Extracts transaction data, balances, and metadata with precision, reducing human error.

Faster Processing

Speeds up workflows like credit assessment, KYC, and financial analysis.

What Is Bank Statement PDF Parsing API , and Why Use It?

The Bank Statement PDF Parsing API is a powerful tool that automatically extracts and structures data from PDF bank statements, including transactions, balances, account details, and summaries. It turns unstructured financial documents into clean, machine-readable formats for easy analysis and integration.

Key features of Bank Statement PDF Parsing API

Multi-Bank Format Support

Parses PDFs from a wide range of banks and financial institutions, regardless of layout.

Transaction-Level Extraction

Captures dates, descriptions, amounts, balances, and transaction types line by line.

Account Summary Parsing

Extracts opening balance, closing balance, total credits, and total debits.

Smart Categorization

Classifies transactions by type (e.g., salary, transfer, EMI, utility) for analytics and scoring.

Frequently asked questions?

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What is the Bank Statement PDF Parsing API?

It’s an API that automatically extracts structured financial data—like transactions and balances—from PDF bank statements for use in digital workflows.

What kind of data can it extract?

It extracts transaction details, account summaries, balances, dates, descriptions, and other metadata from bank statements.

Does it support statements from all banks?

Yes, it supports a wide range of public and private banks with different statement formats, and it can be trained to handle new ones as needed.

In what format is the parsed data returned?

The API returns data in machine-readable formats such as JSON or CSV, suitable for analysis or integration into systems.

Is it secure to upload financial documents?

Yes, the API uses end-to-end encryption and follows industry-standard security practices to ensure data privacy and compliance.

Can it detect duplicate statements?

Yes, it includes built-in logic to identify and flag duplicate statements or overlapping transactions.

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