Bank Statement → .JSON for Financial Analysis
Cash flow analysis and financial modelling require structured transaction data. Extracting this from PDFs into a usable format is the first — and most painful — step in any analysis. Upload any bank statement PDF and get structured JSON output — ideal for developers building accounting integrations or automations.
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Secure Financial Data Processing
JSON for Financial Analysis — Why It Works
Financial analysts, CFOs, and business owners who need bank transaction data for cash flow analysis, trend analysis, and financial planning. Convert bank statements to Excel for pivot table analysis, trend identification, and cash flow modelling. Clean numeric data means your analysis starts immediately, not after an hour of data cleaning. Compatible with REST APIs, Node.js, Python, PostgreSQL, MongoDB, Zapier.
Example JSON Output
[
{
"date": "2024-03-15",
"description": "Chase ATM Withdrawal",
"debit": 2000,
"credit": null,
"balance": 48500,
"currency": "USD"
},
{
"date": "2024-03-18",
"description": "Salary Credit",
"debit": null,
"credit": 75000,
"balance": 123500,
"currency": "USD"
}
]How It Works
Step 1
Download the full-period bank statement PDFs (monthly or annual)
Step 2
Upload to MintConvert and download as Excel
Step 3
Build pivot tables to analyse spending by category
Step 4
Create cash flow charts from the structured transaction data
Step 5
Import into your financial model or planning tool
Why MintConvert
- JSON — Upload any bank statement PDF and get structured JSON output — ideal for developers building accounting integrations or automations.
- Financial Analysis — Convert bank statements to Excel for pivot table analysis, trend identification, and cash flow modelling. Clean numeric data means your analysis starts immediately, not after an hour of data cleaning.
- 23 banks supported — Auto-detected — no configuration per bank.
- Compatible with — Excel, Google Sheets, Power BI, Tableau
- Privacy first — PDFs deleted immediately after conversion.
- Free to start — 5 free conversions/month. No credit card.
By Bank
Oman
Germany
Ireland
Sweden
Norway
Denmark
Portugal
South Africa
Kenya
Ghana
Bangladesh
South Korea
Taiwan
Thailand
Vietnam
Sri Lanka
Nepal
Cambodia
Ethiopia
Tanzania
Zambia
Argentina
Chile
Colombia
Frequently Asked Questions
Why is JSON the right format for financial analysis?
Upload any bank statement PDF and get structured JSON output — ideal for developers building accounting integrations or automations. For financial analysis: compatible with Excel, Google Sheets, Power BI.
How does the JSON output support financial analysis workflows?
Convert bank statements to Excel for pivot table analysis, trend identification, and cash flow modelling. Clean numeric data means your analysis starts immediately, not after an hour of data cleaning. The output includes consistent columns (Date, Description, Debit, Credit, Balance) across all 23 supported banks.
Which banks are supported for JSON for financial analysis?
23 banks across 8 countries: HDFC Bank, ICICI Bank, State Bank of India, Axis Bank, Kotak Mahindra Bank, Chase, and more.
Is the JSON output compatible with Excel?
Yes — JSON output can be consumed by any REST API or programming language. Each transaction is a flat object with date, description, debit, credit, balance, and currency fields.
How many conversions does a financial analysis workflow typically need?
MintConvert's Starter plan ($9/month, 100 conversions) suits small practices. Pro ($19/month, 500 conversions) for mid-size firms. Scale ($49/month, unlimited) for large firms.
Financial Analysis — Other Formats
JSON — Other Use Cases