name: financial-document-parser slug: financial-document-parser version: 1.0.1 displayName: "財務票據智慧解析提取｜簡詩 AI" summary: "從發票、收據和銀行對賬單等財務文件中自動提取結構化資料，含自動分類和分析功能。" description: "從發票、收據和銀行對賬單等財務文件中自動提取結構化資料，含自動分類和分析功能。" tags: ["business-operations", "jianshi-ai"]

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
2. Invoice (business to business)
3. Receipt (point of sale)
4. Bank statement
5. Credit card statement
6. Expense report

7. Tax document

8. 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

1. Categorize Expenses
2. Business expenses: Office supplies, software, equipment
3. Travel: Transportation, lodging, meals
4. Utilities: Internet, phone, electricity
5. Professional services: Legal, accounting, consulting
6. Marketing: Advertising, subscriptions
7. Entertainment: Client meals, events

8. Other: Miscellaneous

9. Identify Patterns

10. Recurring charges (subscriptions)
11. Duplicate charges
12. Unusual or high-value transactions
13. Tax-deductible expenses

14. Foreign currency transactions

15. Generate Structured Output

16. Create CSV-ready format
17. Summarize totals by category
18. Flag items needing attention
19. 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)
```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

簡詩 AI 安全邊界

• 不自動安裝依賴、修改系統許可權、建立持久化任務或執行下載內容。
• 涉及傳送、釋出、刪除、付款、部署或其他外部寫入時，先展示目標與影響並取得使用者明確確認。
• 憑據只用於使用者指定的對應官方服務，不回顯、不記錄，也不轉發到無關地址。
• 命令和程式碼預設作為參考；只有使用者明確要求執行且目標範圍清楚時才可執行。

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這是一款功能比較完善的財務票據解析 Skill，能夠自動識別發票、收據、銀行流水等文件型別，提取金額、日期、交易明細等關鍵資訊，並對消費進行分類統計，支援匯出 CSV 格式。操作說明清晰，示例豐富，能生成有價值的支出分析報告。不足之處在於完全依賴 AI 的影像識別能力，對模糊或複雜版式的票據解析效果可能不穩定，且沒有提供出錯時的解決指引。總體質量良好，適合需要頻繁處理報銷、對賬的使用者使用。