What is BankStatementLab?
BankStatementLab converts bank statement PDFs into structured data formats like Excel, CSV, and JSON using AI and optical character recognition technology. This eliminates the need to manually transcribe financial information, which is particularly useful for managing accounts across multiple banks or handling batches of historical statements. The tool handles both digitally generated PDFs and scanned documents, making it flexible for different document sources. The freemium model provides a starting point with a small credit allocation, allowing users to test the service before committing to paid plans. It is aimed at individuals managing personal finances, accountants, bookkeepers, and small business owners who need to process bank statements regularly. The AI-powered extraction helps maintain accuracy whilst significantly reducing the time required for data entry.
Key Features
PDF to Excel conversion
Transform bank statements into formatted spreadsheets with data organised by columns
CSV export
Export extracted data as comma-separated values for compatibility with financial software
JSON output
Get structured JSON format for API integration and programmatic use
OCR technology
Handles both digital PDFs and scanned or photographed bank statements
Batch processing
Process multiple statements in one upload for efficiency
AI-powered extraction
Automatically identifies and extracts transaction data, dates, amounts, and account information
Pros & Cons
Advantages
- Saves significant time compared to manual data entry or copy-pasting
- Handles various document formats including scanned statements, making it flexible for different scenarios
- Free tier allows testing before committing to paid credits
- Supports multiple output formats for compatibility with different tools and workflows
Limitations
- Free tier provides limited credits, so heavy users need to purchase additional processing capacity
- OCR accuracy may vary depending on document quality, legibility, and formatting
- Requires uploading documents to a web service, which may present privacy concerns for sensitive financial data
Use Cases
Converting months of bank statements to Excel for personal budgeting and financial analysis
Digitising scanned physical bank statements for recordkeeping and accounting purposes
Extracting transaction data for integration into accounting software or custom financial applications
Batch processing statements from multiple accounts for business expense tracking
Preparing financial data for tax filing or accountant review