invoice-organizer

Invoice Organizer

Bulk-categorize a CSV of invoices or receipts, detect duplicates, and produce a tax-ready monthly summary.

Table of Contents

• [Keywords](#keywords)
• [Quick Start](#quick-start)
• [Core Workflows](#core-workflows)
• [Tools](#tools)
• [Reference Guides](#reference-guides)
• [Templates](#templates)
• [Best Practices](#best-practices)

Keywords

invoice, invoices, receipt, receipts, expense, expenses, bookkeeping, accounting, tax, tax prep, categorization, vendor, reimbursement, monthly summary

Quick Start

Categorize 200 Receipts in 1 Minute

1. Export receipts from your bank or expense tool as a CSV with columns: date,vendor,description,amount,currency
2. Run:

``bash python scripts/invoice_categorizer.py receipts.csv ``

1. Review the categorized output and override anything wrong via the rules file
2. Export the monthly summary for handoff to your accountant

Core Workflows

Workflow 1: Monthly Bookkeeping

Goal: Convert a month of unstructured receipts into a categorized, tax-ready summary in under 10 minutes.

Steps:

1. Export receipts as CSV from your bank, card, or expense tool
2. Run: python scripts/invoice_categorizer.py receipts.csv
3. Review the uncategorized bucket — these need rules added or manual override
4. Add rules to assets/category_rules.json for any recurring vendors
5. Re-run; uncategorized count should drop each month as the rules file grows
6. Drop the monthly summary into assets/monthly_summary_template.md

Expected Output: Categorized expense list + monthly totals by category + duplicate-suspect list.

Time Estimate: 10 minutes/month after initial rules are seeded.

Workflow 2: Duplicate Detection

Goal: Catch double-entered receipts before they reach the books.

Steps:

1. Run: python scripts/invoice_categorizer.py receipts.csv --json
2. Inspect the duplicates_suspected list
3. Confirm whether each is a true duplicate (same charge entered twice) or a coincidence (same amount on different days at different vendors)
4. Remove confirmed duplicates from the source CSV; re-run

Expected Output: Cleaned CSV with no duplicate rows.

Time Estimate: 2-3 minutes per month.

Workflow 3: Vendor Spend Review

Goal: Find spend creep — vendors whose monthly total grew significantly without you noticing.

Steps:

1. Run categorizer for the last 3-6 months separately
2. Compare per-vendor totals month-over-month
3. Flag any vendor where total grew > 25% with no obvious business reason
4. Either renegotiate, switch, or accept; revisit quarterly

Expected Output: Vendor-spend trend list with flagged growth.

Time Estimate: 15 minutes per quarter.

Tools

invoice_categorizer.py

Reads a CSV of receipts/invoices and:

• Categorizes each row by vendor + description against rules in assets/category_rules.json (extensible)
• Aggregates totals per category and per vendor
• Detects likely duplicates (same vendor + amount within 3 days)
• Flags uncategorized items for manual review

# Human-readable summary
python scripts/invoice_categorizer.py receipts.csv

# JSON for programmatic use
python scripts/invoice_categorizer.py receipts.csv --json

# Use a custom rules file
python scripts/invoice_categorizer.py receipts.csv --rules my-rules.json

Expected CSV columns: date, vendor, description, amount (currency optional) Date formats accepted: YYYY-MM-DD, MM/DD/YYYY, DD/MM/YYYY

Reference Guides

• references/expense_categorization_guide.md — Standard expense categories, common tax buckets (US Schedule C, UK self-employment, generic), how to map vendors to categories

Templates

• assets/category_rules.json — Default rules; extend with your recurring vendors
• assets/monthly_summary_template.md — Format for handing the monthly summary to an accountant

Best Practices

• Categorize monthly, not annually. Annual catch-up bookkeeping always misses receipts and produces guess-categorization.
• Grow the rules file over time. First month: 30% uncategorized. Sixth month: < 5%. The compounding return on rule-writing is high.
• Keep evidence. Categorization is bookkeeping; receipts (PDFs, photos) are tax evidence. Store separately from this script's output.
• Don't trust auto-categorization for tax filing. Use it for prep; have a human (you or your accountant) sign off before filing.
• Currency consistency. If you have multi-currency receipts, convert at month-end FX rate before this script; it does not handle FX.

Integration Points

• Pairs with finance/ skills for budgeting and forecasting
• Feeds into c-level-advisor/cs-cfo-advisor cash-flow workflows
• Used by solo-founder persona for monthly close