JSON.org Specification
Official JSON format specification and syntax documentation.
JSON.orgTransform BRI PDFs into clean, organized JSON files in seconds. Validated against your statement balances.
Understanding the specific layout and structure of BRI PDF statements helps ensure accurate conversion to JSON. Here is what our parser handles for this bank:
Bank Rakyat Indonesia statements use IDR (Indonesian Rupiah) amounts — no decimal places, amounts in millions require careful magnitude validation
Statements follow DD/MM/YYYY date format with Indonesian month abbreviations (Jan, Feb, Mar, Apr, Mei, Jun, Jul, Agu, Sep, Okt, Nov, Des)
BRI mobile banking (BRImo) CSV exports use semicolons as column delimiters and UTF-8 encoding
Transaction descriptions often include branch codes (e.g., "KCP JAKARTA SELATAN") that can be extracted for location tagging
Convert BRI statements to JSON format with perfect formatting
Process bank statements in under 60 seconds with AI-powered extraction
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AI-powered extraction validated against source balances for every conversion
Simply drag and drop your PDF Bank Rakyat Indonesia bank statement or click to browse from your computer.
Our advanced system automatically detects and extracts all transactions, dates, amounts, and descriptions with high precision.
Get your perfectly formatted JSON file ready for immediate use in Excel, QuickBooks, or your accounting software.
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BRI statements have unique formatting: bank rakyat indonesia statements use idr (indonesian rupiah) amounts — no decimal places, amounts in millions require careful magnitude validation. The JSON conversion handles this automatically, preserving all transaction details while reformatting for optimal software compatibility.
JSON output provides BRI transactions in a structured, machine-readable format ideal for custom integrations, APIs, or data pipelines. Each transaction includes all available metadata as nested JSON objects.
Bri statements present unique parsing challenges for JSON conversion. The statements bank rakyat indonesia statements use idr (indonesian rupiah) amounts — no decimal places, amounts in millions require careful magnitude validation, which requires specialized extraction logic. Our JSON export process accounts for these Bri-specific characteristics, applying custom parsing rules that ensure your transaction data appears correctly formatted in the final JSON output, ready for immediate use in your accounting or analysis workflow.
JSON exports preserve all critical transaction details from your Bri statements while formatting them for optimal compatibility with your target software. The conversion process maintains data integrity across Bri's date fields, transaction descriptions, debit/credit amounts, and running balances, ensuring nothing is lost or corrupted during the format transformation. This makes JSON a reliable choice for Bri customers needing flexible data export options.
Another consideration for Bri statements: statements follow dd/mm/yyyy date format with indonesian month abbreviations (jan, feb, mar, apr, mei, jun, jul, agu, sep, okt, nov, des). The JSON conversion process handles this automatically, applying bank-specific parsing rules that ensure accurate extraction even from complex multi-page statements with hundreds of transactions. This specialized approach delivers consistently clean output regardless of statement length or complexity.
JSON is a lightweight, machine-readable structured data format that has become the standard for web APIs and modern data interchange. When you export bank statements to JSON, each transaction becomes a structured object with typed fields - dates, amounts, descriptions, and balances are all properly formatted and labeled. This format is ideal for developers building automated financial workflows, integrating bank data into custom applications, or processing transactions programmatically.
Choose JSON when building automated workflows, integrating with APIs, or processing data programmatically. JSON is the standard for modern web applications and data pipelines. This format is perfect for developers who need to parse transaction data with code, or for businesses using automation tools like Zapier or Power Automate.
JSON files can be parsed directly by any programming language. In Python use `json.load()`, in JavaScript use `JSON.parse()`. For no-code tools like Power Automate or Zapier, use the built-in JSON parser action. The structured format means no column mapping is required - each field is already named and typed.
Convert statements from any bank to JSON format. View comprehensive guides and tutorials.
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Export Bri statements in Excel format for accounting software integration.
| Date | Description | Debit | Credit | Balance |
|---|---|---|---|---|
| 2026-03-06 | Local Restaurant | $646.67 | $3867.78 | |
| 2026-03-05 | Payroll Deposit | $118.20 | $1730.49 | |
| 2026-03-02 | Salary Payment | $2783.96 | $4514.45 |
Preview of converted output from an actual BRI statement
Trusted by CPAs, bookkeepers, and accounting firms nationwide for bank statement conversion with enterprise-grade accuracy and security
Our AI-powered converter delivers reliable accuracy across standard and specialized statement formats on Bri statements by handling specific formatting challenges like statements follow dd/mm/yyyy date format with indonesian month abbreviations (jan, feb, mar, apr, mei, jun, jul, agu, sep, okt, nov, des). The OCR engine is also trained to recognize bri mobile banking (brimo) csv exports use semicolons as column delimiters and utf-8 encoding, ensuring reliable JSON output for all Bri statement types.
Bri statements — including 2021-2024 personal and business account statements — are fully supported. Processing typically takes 25-50 seconds depending on statement length and transaction count. Our system automatically handles bank rakyat indonesia statements use idr (indonesian rupiah) amounts — no decimal places, amounts in millions require careful magnitude validation and applies the appropriate parsing rules for optimal JSON conversion.
Your Bri statement data is encrypted with 256-bit SSL during upload and processing. Files are stored in SOC 2 compliant data centers and automatically purged within 24 hours. We never share, sell, or retain your financial information beyond the processing window.
Absolutely. JSON from Bri statements is ideal for automation workflows. In Zapier, use the "Webhooks" or "Code by Zapier" actions to parse the JSON data. In Microsoft Power Automate, use the "Parse JSON" action with the schema provided in the file. The structured format makes it easy to extract specific fields, filter transactions, and trigger automated actions based on transaction amounts or descriptions.
The Bri statement exported to JSON uses a standard structure with typed fields for dates, amounts, and descriptions. In Python, use `json.load(file)` to read the file and access transactions as a list of dictionaries. In JavaScript/Node.js, use `JSON.parse(fileContent)` to convert the JSON string to an object. Each transaction is already structured with named fields, eliminating the need for column parsing or delimiter handling.
Yes, you can batch convert multiple Bri statements by uploading them sequentially. Each statement will be processed into its own JSON file with the original statement period clearly labeled. This is particularly useful for catching up on historical data entry or reconciling multiple months of transactions. The converted files can then be imported into your accounting software in chronological order.
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