Skip to content
expense-report-generator logo

Expense Report Generator

expense-report-generator

Generate formatted expense reports from receipt data or CSV. Create professional PDF reports with categorization, totals, and approval workflows.

SKILL.md

Full skill instructions

Expense Report Generator

Create professional expense reports from receipt data with automatic categorization and totals.

Features

  • Multiple Input Formats: CSV, JSON, or manual entry
  • Auto-Categorization: Classify expenses by type
  • Receipt Tracking: Link receipts to expenses
  • Approval Workflow: Status tracking and approver info
  • Policy Compliance: Flag out-of-policy expenses
  • PDF Export: Professional formatted reports
  • Reimbursement Calculation: Track paid/​unpaid amounts

Quick Start

from expense_report import ExpenseReportGenerator

report = ExpenseReportGenerator()

# Set report info
report.set_employee("John Doe", "EMP001", "Engineering")
report.set_period("2024-01-01", "2024-01-31")

# Add expenses
report.add_expense(
    date="2024-01-15",
    description="Client dinner",
    category="Meals",
    amount=125.50,
    receipt="receipt_001.jpg"
)

report.add_expense(
    date="2024-01-18",
    description="Uber to airport",
    category="Transportation",
    amount=45.00
)

# Generate report
report.generate_pdf("expense_report.pdf")

CLI Usage

# From CSV
python expense_report.py --input expenses.csv --employee "John Doe" --output report.pdf

# With date range
python expense_report.py --input data.csv --start 2024-01-01 --end 2024-01-31 -o report.pdf

# Set department and approver
python expense_report.py --input data.csv --employee "Jane Smith" --dept Sales \
    --approver "Bob Manager" -o report.pdf

# With policy limits
python expense_report.py --input data.csv --policy policy.json -o report.pdf

Input Format

CSV Format

date,description,category,amount,receipt,notes
2024-01-15,Client dinner at Restaurant,Meals,125.50,receipt_001.jpg,Met with ABC Corp
2024-01-16,Uber to client site,Transportation,32.00,,
2024-01-17,Office supplies,Supplies,45.99,receipt_002.jpg,
2024-01-18,Flight to NYC,Travel,450.00,flight_confirm.pdf,Project kickoff

JSON Format

{
  "employee": "John Doe",
  "employee_id": "EMP001",
  "department": "Engineering",
  "period": {"start": "2024-01-01", "end": "2024-01-31"},
  "expenses": [
    {
      "date": "2024-01-15",
      "description": "Client dinner",
      "category": "Meals",
      "amount": 125.50,
      "receipt": "receipt_001.jpg"
    }
  ]
}

Policy Configuration

{
  "limits": {
    "Meals": 75,
    "Transportation": 100,
    "Lodging": 250,
    "Supplies": 200
  },
  "requires_receipt": 25,
  "requires_approval": 500,
  "prohibited": ["Alcohol", "Personal items"]
}

API Reference

ExpenseReportGenerator Class

class ExpenseReportGenerator:
    def __init__(self)

    # Report Setup
    def set_employee(self, name: str, employee_id: str = None,
                    department: str = None) -> 'ExpenseReportGenerator'
    def set_period(self, start: str, end: str) -> 'ExpenseReportGenerator'
    def set_approver(self, name: str, title: str = None) -> 'ExpenseReportGenerator'
    def set_project(self, project_name: str, project_code: str = None) -> 'ExpenseReportGenerator'

    # Adding Expenses
    def add_expense(self, date: str, description: str, category: str,
                   amount: float, receipt: str = None, notes: str = None,
                   reimbursable: bool = True) -> 'ExpenseReportGenerator'
    def load_csv(self, filepath: str) -> 'ExpenseReportGenerator'
    def load_json(self, filepath: str) -> 'ExpenseReportGenerator'

    # Policy
    def set_policy(self, policy: Dict) -> 'ExpenseReportGenerator'
    def check_compliance(self) -> List[Dict]

    # Analysis
    def get_summary(self) -> Dict
    def by_category(self) -> Dict[str, float]
    def by_date(self) -> Dict[str, float]
    def get_total(self) -> float

    # Export
    def generate_pdf(self, output: str) -> str
    def generate_html(self, output: str) -> str
    def to_csv(self, output: str) -> str
    def to_json(self, output: str) -> str

Expense Categories

Standard categories:

  • Meals: Business meals and entertainment
  • Transportation: Taxi, rideshare, rental car, parking
  • Travel: Flights, trains, hotels
  • Lodging: Hotel, accommodation
  • Supplies: Office supplies, equipment
  • Communication: Phone, internet
  • Professional: Conferences, training, memberships
  • Other: Miscellaneous expenses

Report Summary

summary = report.get_summary()
# Returns:
# {
#     "employee": "John Doe",
#     "period": {"start": "2024-01-01", "end": "2024-01-31"},
#     "total_expenses": 1250.50,
#     "expense_count": 15,
#     "categories": {
#         "Meals": 325.00,
#         "Transportation": 180.50,
#         "Travel": 650.00,
#         "Supplies": 95.00
#     },
#     "reimbursable": 1150.50,
#     "non_reimbursable": 100.00,
#     "receipts_attached": 12,
#     "receipts_missing": 3
# }

Policy Compliance

# Set spending limits
report.set_policy({
    "limits": {
        "Meals": 75,      # Per transaction limit
        "Daily_meals": 100  # Daily limit
    },
    "requires_receipt": 25,  # Receipts required above this
    "requires_approval": 500  # Manager approval above this
})

# Check compliance
violations = report.check_compliance()
# Returns:
# [
#     {"expense_id": 3, "type": "over_limit", "category": "Meals",
#      "amount": 125.50, "limit": 75},
#     {"expense_id": 7, "type": "missing_receipt", "amount": 45.00}
# ]

Generated Report Contents

The PDF report includes:

  1. Header

    • Company logo (optional)
    • Report title and date range
    • Employee information
  2. Summary Section

    • Total amount
    • Category breakdown
    • Reimbursement status
  3. Expense Details Table

    • Date, description, category
    • Amount, receipt status
    • Notes
  4. Category Charts

    • Pie chart of spending by category
    • Daily spending bar chart
  5. Compliance Notes

    • Policy violations (if any)
    • Missing receipts
  6. Approval Section

    • Employee signature line
    • Approver signature line
    • Date fields

Example Workflows

Monthly Employee Report

report = ExpenseReportGenerator()
report.set_employee("Sarah Johnson", "EMP042", "Marketing")
report.set_period("2024-02-01", "2024-02-29")
report.set_approver("Mike Director", "VP Marketing")

# Load from tracking spreadsheet
report.load_csv("february_expenses.csv")

# Check policy
violations = report.check_compliance()
if violations:
    print(f"Warning: {len(violations)} policy violations")

# Generate report
report.generate_pdf("sarah_feb_expenses.pdf")
print(f"Total: ${report.get_total():,.2f}")

Project Expense Tracking

report = ExpenseReportGenerator()
report.set_employee("Project Team")
report.set_project("Website Redesign", "PRJ-2024-001")
report.set_period("2024-01-01", "2024-03-31")

# Add project expenses
report.add_expense("2024-01-15", "Design software license", "Software", 299.00)
report.add_expense("2024-02-01", "User testing incentives", "Research", 500.00)
report.add_expense("2024-02-20", "Stock photos", "Creative", 150.00)

summary = report.by_category()
print("Project Expenses by Category:")
for cat, amount in summary.items():
    print(f"  {cat}: ${amount:,.2f}")

Dependencies

  • pandas>=2.0.0
  • reportlab>=4.0.0
  • matplotlib>=3.7.0

More Finance & Trading skills

ponytail-debt logo
Finance & Trading

ponytail-debt

Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". One-shot report, changes nothing.

155.5K 27.9K
View
stripe-integration logo
Finance & Trading

stripe-integration

Stripe payment processing with checkout sessions, subscriptions, webhooks, and customer management.

40.2K 12.9K
View

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-r...

40.2K 12K
View
stock-analysis logo
Finance & Trading

stock-analysis

Stock and cryptocurrency analysis with portfolio management and multi-dimensional scoring.

46 11.9K
View
coinglass logo
Finance & Trading

coinglass

Real-time crypto derivatives positioning, whale tracking, liquidations, and institutional ETF flows across 37 specialized tools.

27 11.5K
View

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

40.2K 10.5K
View

Finance AI tools

C

ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.

Freemium
View
Finalle.ai logo
Finance

Finalle.ai

Stay Ahead with Finalle.ai: The Ultimate Financial News and Tools Platform

Free
View

AI-powered Pine Script code generator for TradingView

Paid
View
TradeUI logo
Finance

TradeUI

Empower your investment strategies with AI signals, option flow data, and advanced chart patterns.

Paid
View
D
Finance

Danelfin

Danelfin review covering its AI stock and ETF scores, rankings, portfolio tools, current pricing, strengths, risks, and alternatives for investors.

Freemium
View
E
Finance

Ellisense

A software for comprehensive market sentiment analysis.

Paid
View

'Stock Correlations' App by Freshly.ai: Reveal Stock Patterns and Trends

Free
View