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Bank Statement Text Parser
Parse pasted bank statement text into transactions, then export CSV or JSON
Bank Statement Text
Format: Date Description Amount (one per line)
💡 Parser Tips
- • Copy text directly from PDF bank statements
- • Each line should have: Date, Description, Amount
- • Supports MM/DD/YYYY and YYYY-MM-DD formats
- • Use + for deposits, - for withdrawals
- • Remove header rows before parsing
📋 Example Format
01/15/2024 Starbucks Coffee -5.50 01/16/2024 Netflix -15.99 01/17/2024 Salary Deposit +3500.00
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No transactions parsed yet
Paste bank statement text and click "Parse Transactions"
How Bank Statement Parser Works
This tool extracts transaction data from plain text bank statements. Copy text from your PDF statement and paste it here. Parsing runs in your browser with simple pattern matching; the pasted text is not sent to our server and no AI is used. It can't read PDF files directly (try the PDF to CSV converter for that).
Supported Formats:
- • Date formats: MM/DD/YYYY, YYYY-MM-DD, DD-MM-YYYY
- • Amount formats: -5.50, +3000.00, $1,234.56
- • Line format: Date Description Amount (separated by spaces)
Limitations:
- • Only lines that match the formats above are parsed; others are skipped
- • Statements with multi-line descriptions or separate debit/credit columns may not parse
- • Always check the results against your original statement
After parsing, you can export to CSV or JSON format for further analysis. The parser automatically detects debits (negative/withdrawals) and credits (positive/deposits).
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