Bank statementto JSON

Upload any bank statement PDF and get structured JSON — every transaction extracted with date, amount, description, and category. Ready for your app, API, or database.

Instant JSON downloadStructured dataAny bank worldwide
Drop your bank statement hereTap to upload your statement
or click to browsePDF, JPG or PNG
Free·No signup·Deleted after conversion
See the difference

See the difference

From messy PDF to structured JSON

Before
Original bank statement PDF
bankstatement.pdf
After
{
  "bankStatement": {
    "transactionCount": 4,
    "transactions": [
      {
        "date": "2025-01-15",
        "description": "WHOLEFDS MKT #10247",
        "amount": -67.42,
        "category": "Groceries"
      },
      {
        "date": "2025-01-14",
        "description": "STARBUCKS #8291",
        "amount": -4.75,
        "category": "Dining Out"
      },
      {
        "date": "2025-01-14",
        "description": "ZELLE TO LANDLORD",
        "amount": -1850.00,
        "category": "Housing"
      },
      {
        "date": "2025-01-10",
        "description": "PAYROLL - ACME CORP",
        "amount": 3250.00,
        "category": "Income"
      }
    ]
  }
}
bankstatement.json
Works withChaseBarclaysHSBCDeutsche BankBNP ParibasINGBank of AmericaSantanderHDFC BankTD Bank& 10,000+ more

How it works

Three steps to structured JSON

1.Upload your PDF

Drop your bank statement PDF — scanned or digital. JPG and PNG are also supported.

2.AI extracts every transaction

Our AI reads each transaction and structures it: date, description, amount, and spending category — typed and ready for code.

3.Download your JSON

Download the .json file and use it in your app, database, spreadsheet pipeline, or any tool that accepts JSON.

Why us

Not just a PDF scraper — a bank statement parser

Generic converter
Unstructured text dump
No data types
Manual parsing needed
No categories
Hours of data cleaning
This converter
Typed JSON with arrays
Numbers are numbers, not strings
Ready for your codebase
19 categories auto-assigned
Import into any system in seconds

Preview

What the JSON export looks like

A structured JSON object — parse it with any language, import it into any database.

bankstatement.json
{
  "bankStatement": {
    "transactionCount": 4,
    "transactions": [
      {
        "date": "2025-01-15",
        "description": "WHOLEFDS MKT #10247",
        "amount": -67.42,
        "category": "Groceries"
      },
      {
        "date": "2025-01-14",
        "description": "STARBUCKS #8291",
        "amount": -4.75,
        "category": "Dining Out"
      },
      {
        "date": "2025-01-14",
        "description": "ZELLE TO LANDLORD",
        "amount": -1850.00,
        "category": "Housing"
      },
      {
        "date": "2025-01-10",
        "description": "PAYROLL - ACME CORP",
        "amount": 3250.00,
        "category": "Income"
      }
    ]
  }
}

The problem

When you need bank statement data as JSON

Building a fintech app
Need structured transaction data from PDFs? Upload statements and get typed JSON arrays — ready to feed into your product.
Automating expense reports
Parse bank statements programmatically. Get JSON with dates, amounts, and categories — pipe it into your expense workflow.
Feeding data into a database
JSON maps directly to PostgreSQL rows, MongoDB documents, or any data store. No CSV parsing, no column mapping — just insert.
Custom analytics dashboard
Building spending charts or budget tools? JSON is the native input format for D3, Chart.js, Recharts, and every visualization library.
No bank API access
Plaid costs $$ and requires bank credentials. This extracts the same transaction data from PDFs you already have — no API keys needed.
Batch processing statements
Upload PDFs, get JSON, automate. Each file produces a consistent schema — same fields, same types, every time.

Pricing

Simple, transparent pricing

Free
Free
Try it out
  • 3 PDF pages / month
  • AI transaction categorization
  • Sankey money-flow chart
  • AI insights & savings tips
  • Financial health score
  • Spending calendar
  • 6 export formats (CSV, Excel, QIF, OFX, QBO, IIF)
Analyze 3 Pages Free
Most popular
Basic
$9/mo
For monthly tracking
  • 500 PDF pages / month
  • Everything in Free, plus:
  • Multi-month trends dashboard
  • Subscription detector
  • AI savings opportunities
  • Chat AI financial advisor
  • Receipts & invoices extractor
  • Table-to-Excel extractor
  • File format converter
  • 12 months history
Start Basic
Pro
$19/mo
For power users
  • Unlimited PDF pages
  • Everything in Basic, plus:
  • Redact sensitive info from statements
  • Translate statements (30+ languages)
  • Fake statement detector
  • Fraud & authenticity scoring
  • Priority processing
  • Priority support
Start Pro

FAQ

Bank statement to JSON converter FAQ

What does the JSON output look like?+
A structured object with a bankStatement.transactions array. Each transaction includes date (string), description (string), amount (number — negative for debits, positive for credits), and category (one of 19 auto-assigned categories like Groceries, Housing, or Income).
Is this free?+
Yes. You can convert up to 3 pages per month completely free — no account required, no credit card. Most single-month bank statements fit in 1–3 pages. For longer statements or bulk processing, paid plans start at $9/month.
Which banks are supported?+
Any bank worldwide that provides PDF statements — Chase, Barclays, HSBC, Deutsche Bank, BNP Paribas, ING, Santander, HDFC Bank, TD Bank, Commonwealth Bank, and thousands more. If your bank gives you a PDF, we can parse it.
Can I use this in my application?+
Yes. The JSON output is standard — parse it with any language: Python (json.loads), JavaScript (JSON.parse), Go, Ruby, or anything else. The structure is consistent across all banks.
Are amounts returned as numbers or strings?+
Numbers. Negative for debits and withdrawals, positive for credits and deposits. No currency symbols, no commas — just clean numeric values ready for math.
How accurate is the extraction?+
Typically 99%+ for standard digital PDF statements downloaded from your bank. For scanned or photographed statements, we run OCR first — accuracy is 98%+ for clear scans at 200+ DPI.
Is my data private?+
Your PDF is processed in memory and immediately discarded — never stored on disk, never shared. Only the structured transaction data is saved temporarily to generate your download.

Convert your bank statement to JSON — free

No account required. Get structured, categorized JSON in under 30 seconds.

Upload PDF & Convert to JSON

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