Convert Any Financial Document to JSON
Transform receipts, invoices, bank statements, credit card statements, and paystubs into structured JSON data for machine learning, API integration, analytics, and automation. Get clean, consistent data ready for your workflows - no matter the document type.
0/50 daily conversions
No registration required • All document types • Completely free
Privacy First: Your images are never stored - processed instantly and discarded
API-Ready Financial Data
Building a fintech app? Training a fraud detection model? Need clean training data for expense categorization, transaction analysis, or table extraction? We convert messy images and PDFs - receipts, invoices, statements, credit card summaries, and table snapshots - into structured JSON with consistent field names. No more regex parsing of PDF text. No more manual labeling of 10,000 documents. Upload any supported financial document, get back objects with merchant, account, transactions, items, tax, date, and more - ready for pandas DataFrames or MongoDB inserts. Data engineers use this to populate databases. ML researchers use it to build classification datasets.
Developer Benefits
Consistent Schema
Every document type returns a predictable JSON structure - merchant, account, transactions, items, totals, dates. No surprise fields or format changes.
Batch Processing
Upload 50 receipts, invoices, statements, or table images - get 50 JSON files. Perfect for ETL jobs or nightly data imports.
Training Data Generation
Building an OCR model? Use our output as ground-truth labels for your training set, across all supported document types.
Use Cases
- Startups: Prototype expense tracking, statement analysis, or table extraction MVPs without building OCR from scratch
- Researchers: Analyze spending patterns, transaction flows, or tabular data across 1000s of anonymized documents
- Enterprises: Feed invoice, statement, or table data into SAP, Oracle, or custom ERP systems via API
- Data Teams: Populate data lakes with structured metadata from receipts, statements, invoices, and tables
JSON Output Example
{
"document_type": "Bank Statement",
"account_holder": "Jane Doe",
"account_number": "123456789",
"statement_period": "2025-11-01 to 2025-11-30",
"transactions": [
{
"date": "2025-11-02",
"description": "Deposit",
"amount": 1000.00,
"balance": 2000.00
},
{
"date": "2025-11-05",
"description": "Grocery Store",
"amount": -54.23,
"balance": 1945.77
}
],
"currency": "USD"
}From Financial Document to Structured JSON
Machine-readable data in seconds
Upload financial document
Get structured JSON data
{
"sender_name": "Andrews, Kirby and Valdez",
"sender_address": "58861 Gonzalez Prairie, Lake Daniellefurt, IN 57228",
"sender_vat": "GB75MCRL06841367619257",
"receiver_name": "Becker Ltd",
"receiver_address": "8012 Stewart Summit Apt. 455, North Douglas, AZ 95355",
"receiver_vat": "942-80-0517",
"invoice_number": "51109338",
"issue_date": "2013-04-13",
"due_date": null,
"items": [
{
"Description": "Dell Desktop Computer PC",
"Quantity": 3,
"Unit_Price": 209.0,
"Subtotal": 627.0,
"VAT_Rate": 10
},
{
"Description": "HP T520 Thin Client",
"Quantity": 5,
"Unit_Price": 37.75,
"Subtotal": 188.75,
"VAT_Rate": 10
},
{
"Description": "Gaming PC Desktop",
"Quantity": 1,
"Unit_Price": 400.0,
"Subtotal": 400.0,
"VAT_Rate": 10
},
{
"Description": "12-Core Gaming PC Tower",
"Quantity": 3,
"Unit_Price": 464.89,
"Subtotal": 1394.67,
"VAT_Rate": 10
},
{
"Description": "Dell Optiplex 9020 MT",
"Quantity": 5,
"Unit_Price": 221.99,
"Subtotal": 1109.95,
"VAT_Rate": 10
},
{
"Description": "Dell Optiplex 990 MT",
"Quantity": 4,
"Unit_Price": 269.95,
"Subtotal": 1079.8,
"VAT_Rate": 10
},
{
"Description": "Dell Core 2 Duo Desktop",
"Quantity": 5,
"Unit_Price": 168.0,
"Subtotal": 840.0,
"VAT_Rate": 10
}
],
"subtotal": 5640.17,
"vat_total": 564.02,
"taxes": [{"name": "VAT 10%", "amount": 564.02}],
"grand_total": 6204.19,
"currency": "$"
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