Bank Statement to Excel Converter

How to Convert a Bank Statement to Excel

ScanText reads transaction information from supported PDF and image bank statements, then organizes detected records into editable spreadsheet rows. Upload a statement, review the extracted dates, descriptions, debit, credit, and balance values, and export the reviewed data as an Excel (.xlsx) or CSV file.

1. Upload a PDF, JPG, PNG, or WEBP statement (PDFs are limited to 20 pages).
2. Extract text directly or use OCR for scanned pages and images.
3. Review and correct the transaction table, then download Excel or CSV.

What Is a Bank Statement?

A bank statement is a document showing account activity over a specified period, including transactions and balances. A transaction table is the structured part of that statement: each row represents activity and may include a date, description, debit, credit, balance, or reference. ScanText turns detected transaction text into rows you can review and use in spreadsheet workflows.

What Information Can Be Extracted From a Bank Statement?

The parser looks for transaction dates, descriptions, debit and credit amounts, balances, and additional amount fields when it detects them. It does not claim to extract account holder details or every reference field. Available fields depend on the structure and information contained in the uploaded statement.

What Bank Statements Can You Convert to Excel?

Text-based PDF bank statements

A text-based PDF contains selectable text that can often be extracted directly. The tool reads the PDF text and uses layout positions to identify transaction rows.

Scanned bank statements

A scanned PDF contains page images rather than selectable text. OCR (Optical Character Recognition) converts text in those images into machine-readable text before transaction parsing.

Image bank statements

Upload JPG, PNG, or WEBP statement images. Clear, well-lit, straight images with readable text are easier to process. The current upload limit is 25 MB; PDFs are limited to 20 pages.

Statements vary by bank, country, currency, date format, column names, layout, PDF type, and scan quality. The extractor is designed around transaction and table structure rather than one specific bank template, but not every layout will produce usable rows.

How Bank Statement OCR and Table Extraction Work

OCR means Optical Character Recognition: software reads text contained in images or scanned documents. ScanText combines PDF text extraction or OCR with layout heuristics to find transaction-like lines and amounts. A bank statement is more than a block of text, so the parser also uses word positions and nearby values to infer dates, descriptions, and amount columns.

Table extraction must account for column headers, transaction rows, wrapped descriptions, debit and credit columns, balance columns, and repeated page headers. The current tool does not guarantee perfect table reconstruction across every statement. Results can depend on resolution, skew, contrast, font, language, and table complexity.

Bank Statement Formats and Column Names

Banks can label similar information in different ways. For example, date columns may be called “Date,” “Transaction Date,” “Posting Date,” or “Value Date.” Descriptions may appear as “Details,” “Particulars,” “Narration,” or “Transaction Details.” Debit and credit columns may use “Withdrawal” or “Deposit,” “Dr” or “Cr,” or “Money Out” and “Money In.” Balance may be labeled “Running Balance” or “Available Balance.”

The parser uses recognizable text and layout clues; unfamiliar terminology or unusual column positions can affect classification. It does not automatically resolve ambiguous date formats. For example, 04/05/2026 could mean different dates depending on the statement's convention.

Numbers may use formats such as 1,250.50, 1.250,50, or 1 250,50. Currency symbols and codes can also vary, including USD, EUR, GBP, PKR, INR, and AED. Check separators, currency, and decimal places against the original document.

What Does the Excel Output Contain?

The export organizes the transaction rows currently shown in the editable review table. The standard columns are date, description, debit, credit, and balance; additional detected amount columns may also appear. Example values below are fictional and illustrate the column structure only.

Bank statement to CSV

CSV export is available alongside XLSX. CSV is a plain-text tabular format commonly used with spreadsheet applications, data analysis tools, accounting workflows, and database imports. The columns and values match the reviewed transaction rows.

Review Extracted Bank Statement Data

OCR and layout parsing can misread characters or assign a value to the wrong column. Before relying on an export, compare dates, decimal points, debit and credit classifications, amounts, balances, and any reference values with the source statement. The results table lets you edit cells, add rows, or delete rows before downloading. Extracted financial data is not guaranteed accurate.

Ways to Use Transaction Data in a Spreadsheet

• Personal expense tracking: sort or filter reviewed transaction rows to organize spending records.
• Accounting and bookkeeping: prepare structured transaction data for an existing bookkeeping workflow.
• Business reconciliation: compare statement entries with separate accounting records.
• Financial analysis: use spreadsheet sorting, filtering, totals, and formulas on verified data.
• Record management: make information in a static document easier to search and organize.

These are data organization uses, not financial advice. Verify extracted values before using them in business or personal records.

Protect Your Financial Documents

Bank statements can contain sensitive financial information. This tool processes the selected file in your browser using PDF and OCR libraries; it does not send the document to a ScanText upload API. Browser extensions, device software, and your network environment remain outside this tool's control. Read the privacy policy for site-level details.

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