Convert BCA Bank Statements to CSV

To convert your Bank Central Asia (BCA) PDF bank statement to CSV, upload your original e-Statement or scanned document to BankStmtConverter. The extraction engine parses Indonesian Rupiah (IDR) debit and credit amounts, transaction dates, running balances, and multi-line descriptions into standard comma-separated columns ready to import into bookkeeping software or spreadsheets.

How do I convert a BCA statement to CSV?

Converting your BCA statement into a tabular data format requires only a few structured steps:

1. Log in to your BCA online banking portal (such as KlikBCA) and download your monthly account statement (Rekening Koran) as a PDF file.
2. Upload the BCA PDF file to the converter tool.
3. The parser extracts tabular data, cleans split multi-line narration texts, and verifies debit and credit balances against reported running balances.
4. Select CSV as your desired output format and download the converted file to your local computer.

Data fields extracted from BCA statements

BCA account statements (Rekening Koran) follow specific table structures, often using bilingual or Indonesian headings. The parser captures every transaction row and arranges it into standardized CSV headers:

• Date (Tgl): Extracted in standard DD/MM/YYYY format to prevent ambiguous date parsing across international software.
• Transaction Description (Keterangan): BCA statements frequently wrap transaction descriptions across two or three lines for transfers (BI-FAST, LLG, RTGS), payroll, and QRIS payments. The engine concatenates these into a single string per transaction.
• Branch Code (Cab): The issuing or receiving branch identifier code when present.
• Debit (Mutasi D/K): Money outgoing from your BCA account in Indonesian Rupiah (IDR).
• Credit (Mutasi D/K): Incoming funds and deposits into your BCA account.
• Balance (Saldo): The ending balance calculated after each transaction line.

Working with BCA CSV files in accounting workflows

A plain text CSV file gives you flexibility when importing bank activity into cloud software or running custom financial reconciliations. For Indonesian accounting systems like Jurnal by Mekari, Accurate Online, or international systems like BCA to Xero and BCA to Excel, CSV is the universal data exchange standard.

Column mapping and date formats

Many systems expect date entries formatted as YYYY-MM-DD or DD/MM/YYYY and require distinct single columns for amount (with negative signs for debits) or separate debit and credit columns. The generated CSV provides separated Debit and Credit columns alongside an optional signed Net Amount column, allowing you to match your destination software's import wizard without manual editing in a text editor.

Example of converted BCA statement output

The following table demonstrates how typical BCA transactions (including transfer narrations, debit card purchases, and QRIS merchant payments) appear after conversion to CSV structure:

Handling scanned or photographed BCA statements

Older archives or branches often provide physical paper printouts of Rekening Koran. When converting scanned image-based PDFs, integrated optical character recognition (OCR) identifies characters and reconstructs the table grid layout. The converter verifies line-by-line math by testing that the starting balance plus total credits minus total debits matches the ending balance printed at the bottom of the statement. If you need support for other financial institutions in the region, check our list of supported banks in Indonesia.

Comparison of data entry methods

Using an automated extraction tool saves processing time and reduces the risk of manual transposition errors compared to manual entry or copy-pasting from PDF viewers.

Data privacy and file handling

Financial records contain sensitive company and personal information. Files uploaded to the service are encrypted in transit and processed automatically without human intervention. Your uploaded PDF statements and generated CSV files are deleted from the server shortly after processing is complete and are never used to train machine learning models.