Financial Document Parser

Extract structured data from financial documents with automatic categorization and analysis.

When to Use This Skill

Activate when the user: - Provides invoices, receipts, or bank statements - Asks to "parse this invoice" or "extract data from this receipt" - Needs expense categorization - Wants to track spending patterns - Asks to generate expense reports - Mentions financial document analysis - Provides PDF or image of financial documents

Instructions

1. Identify Document Type - Invoice (business to business) - Receipt (point of sale) - Bank statement - Credit card statement - Expense report - Tax document

2. Extract Core Information

For Invoices: - Invoice number - Invoice date and due date - Vendor/supplier name and contact - Client/recipient name - Line items (description, quantity, unit price, total) - Subtotal, tax, and grand total - Payment terms - Payment methods accepted

For Receipts: - Merchant name and location - Date and time - Items purchased - Individual prices - Subtotal, tax, total - Payment method - Last 4 digits of card (if present)

For Bank/Credit Card Statements: - Statement period - Account number (last 4 digits) - All transactions (date, description, amount, balance) - Beginning and ending balance - Total credits and debits - Fees or interest charges

3. Categorize Expenses - Business expenses: Office supplies, software, equipment - Travel: Transportation, lodging, meals - Utilities: Internet, phone, electricity - Professional services: Legal, accounting, consulting - Marketing: Advertising, subscriptions - Entertainment: Client meals, events - Other: Miscellaneous

4. Identify Patterns - Recurring charges (subscriptions) - Duplicate charges - Unusual or high-value transactions - Tax-deductible expenses - Foreign currency transactions

5. Generate Structured Output - Create CSV-ready format - Summarize totals by category - Flag items needing attention - Calculate tax implications (if relevant)

Output Format

# Financial Document Analysis

## Document Details
- **Type**: Invoice / Receipt / Statement
- **Date**: [Date]
- **Vendor/Merchant**: [Name]
- **Document Number**: [Number]
- **Total Amount**: $X,XXX.XX

## Line Items
| Description | Quantity | Unit Price | Total |
|-------------|----------|------------|-------|
| [Item] | X | $XX.XX | $XX.XX |

## Financial Summary
- **Subtotal**: $X,XXX.XX
- **Tax**: $XXX.XX
- **Total**: $X,XXX.XX
- **Payment Method**: [Method]

## Expense Categorization
| Category | Amount | Items |
|----------|--------|-------|
| Software | $XXX | Slack, GitHub |
| Office | $XX | Supplies |

## Insights
- ✓ Tax-deductible business expenses: $X,XXX
- ⚠ Recurring charges detected: 3 subscriptions ($XXX/month)
- ℹ Foreign transaction fees: $XX

## Flagged Items
- [ ] Large expense ($X,XXX) - verify approval
- [ ] Duplicate charge detected on [date]

## Export Data (CSV Format)
```csv
Date,Vendor,Description,Category,Amount,Tax Deductible
2025-01-15,Adobe,Creative Cloud,Software,52.99,Yes

Recommendations

• Track recurring $XXX/month for [subscription]
• Consider negotiating bulk discount with [vendor]
• Set up payment reminder for [invoice due date] ```

Examples

User: "Extract data from this invoice PDF" Response: Parse PDF → Extract vendor info, line items, totals → Categorize as business expense → Format as structured data → Generate CSV export

User: "Analyze my bank statement and categorize expenses" Response: Extract all transactions → Categorize each (dining, software, travel) → Identify recurring charges → Calculate totals by category → Flag unusual transactions → Generate spending report

User: "Parse these 10 receipts and create an expense report" Response: Process each receipt → Extract merchant, date, amount, items → Categorize expenses → Calculate totals → Generate consolidated report → Create CSV for expense submission

Best Practices

• Preserve exact amounts (don't round)
• Maintain currency symbols and formats
• Note when data is unclear or illegible
• Flag suspicious or duplicate transactions
• Provide tax-relevant categorization
• Use standard expense categories
• Generate export-ready formats (CSV, JSON)
• Protect sensitive info (mask account numbers)
• Identify missing information (no date, unclear vendor)
• Calculate totals and verify against document
• Note discrepancies or calculation errors
• Include exchange rates for foreign currency