Financial Document Parser

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

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

• 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

• 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

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

• 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)
- Foreign transaction fees: $XX

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

## Export Data (CSV Format)

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