Bank Statement → .JSON for Audit Trail
Audit procedures require transaction-level evidence from bank statements. PDFs are not queryable — auditors need structured data to run analytical procedures, test completeness, and identify anomalies. 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 Audit Trail — Why It Works
External auditors, internal audit teams, and compliance officers who need structured transaction data from bank statements as supporting evidence for audit engagements and regulatory filings. Convert bank statement PDFs to Excel or JSON for systematic transaction testing. Run completeness checks, stratification analysis, and anomaly detection on structured data — not on printed PDFs. 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
Obtain client bank statement PDFs for the audit period
Step 2
Upload to MintConvert and download as Excel or JSON
Step 3
Import into CAATs software (IDEA, ACL) or run pivot table analysis in Excel
Step 4
Perform completeness testing — reconcile total debits/credits against statement totals
Step 5
Document findings and attach structured transaction file as working paper
Why MintConvert
- JSON — Upload any bank statement PDF and get structured JSON output — ideal for developers building accounting integrations or automations.
- Audit Trail — Convert bank statement PDFs to Excel or JSON for systematic transaction testing. Run completeness checks, stratification analysis, and anomaly detection on structured data — not on printed PDFs.
- 23 banks supported — Auto-detected — no configuration per bank.
- Compatible with — Excel, IDEA Data Analysis, ACL Analytics, Caseware
- 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 audit trail?
Upload any bank statement PDF and get structured JSON output — ideal for developers building accounting integrations or automations. For audit trail: compatible with Excel, IDEA Data Analysis, ACL Analytics.
How does the JSON output support audit trail workflows?
Convert bank statement PDFs to Excel or JSON for systematic transaction testing. Run completeness checks, stratification analysis, and anomaly detection on structured data — not on printed PDFs. The output includes consistent columns (Date, Description, Debit, Credit, Balance) across all 23 supported banks.
Which banks are supported for JSON for audit trail?
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 audit trail 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.
Audit Trail — Other Formats
JSON — Other Use Cases