Convert bank statement PDFs into structured JSON for apps, APIs, data pipelines, automation, and custom finance tools. Extract transaction-level data without building your own PDF parser.
Input
Native and common bank PDF layouts supported.
Output
Download structured JSON with transaction fields such as date, description, amount, debit, credit, and balance when available.
Built for developers and operations teams that need bank statement data in a machine-readable format.
Upload the PDF, let AI extract the transaction table, then download a clean JSON file.
Add one or more bank statement PDFs. The converter works with statements from major banks worldwide.
Dates, descriptions, debit and credit amounts, and balances are detected and organized automatically.
Review and use your converted file in spreadsheets, accounting software, databases, or reporting workflows.
The same simple workflow powers PDF conversion to QuickBooks, Xero, Excel, CSV, and JSON.

Drag in one statement or upload a batch of PDFs from any supported bank.

Choose Excel, CSV, JSON, Xero CSV, or QuickBooks CSV before conversion.

Get a structured file that is ready for review, import, or analysis.
Practical answers about converting PDF bank statements with AI.
The JSON output contains structured transaction data such as dates, descriptions, amounts, debits, credits, and balances when those fields are available in the source PDF.
Yes. JSON is designed for developers who need transaction data in a machine-readable format for applications, scripts, internal tools, or data pipelines.
No. AI Bank Statement handles PDF extraction and gives you structured JSON so you can focus on your application or analysis workflow.
Stop rebuilding bank tables by hand. Upload a PDF and download clean JSON data in seconds.