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Freelancer bank CSV expense categorizer for bookkeeping review

An implementation note on packaging Freelancer bank CSV expense categorizer for bookkeeping review as a local invoice PDF automation for small sellers

# Freelancer bank CSV expense categorizer for bookkeeping review: local automation for turning order data into invoice PDFs

Freelancer bank CSV expense categorizer for bookkeeping review is a local Python CLI automation for Freelancers and solo founders preparing monthly bookkeeping from bank CSV exports. The core pain point is Monthly bank exports require manual categorization before a bookkeeper or accounting tool can review them., and the tool reduces the repeated work of converting order files into reviewable invoice outputs.

Based on the service folder, the deliverable is Buyer-specific v3 Python package that categorizes a monthly business bank CSV, writes bookkeeping import rows, and creates review reports.. Local buyer-deliverable automation. No external API calls, payments, emails, bank connections, or accounting uploads are performed by default.

Freelancer bank CSV expense categorizer for bookkeeping review order file input to invoice PDF output workflow
Freelancer bank CSV expense categorizer for bookkeeping review input, processing, and output flow

Key takeaways

  • A single CLI run replaces manual copying from order exports into invoice templates.
  • Outputs remain reviewable: invoice HTML/PDF files, a summary CSV, and a run report.
  • Customer data stays in the local processing boundary instead of being sent to external APIs, email, or payment systems.

Problem context

Freelancers and solo founders preparing monthly bookkeeping from bank CSV exports spend time moving order rows into invoice formats. The work is simple, but it is error-prone, and review time grows with order volume.

The source description can be summarized as follows. Buyer-specific v3 package for freelancers and solo founders who export a monthly business bank CSV and need a categorized file for bookkeeping review.

How it works

01

Order file input

The tool receives a CSV or Excel order file.

02

Column mapping and validation

It reads fields such as invoice ID, customer name, quantity, and unit price from the configuration.

03

Invoice generation

Rows are grouped by invoice ID and converted into customer invoice records.

04

HTML/PDF rendering

Each invoice is written as HTML and PDF.

05

Review evidence

A summary CSV and run report are stored for bookkeeping review and delivery evidence.

Source structure and functional evidence

Main code files

  • tool.py
  • src/__init__.py
  • src/automation_core.py
  • src/automation_product.py
  • src/product_contract.py
  • src/product_runtime.py

Sample inputs

  • sample_input/freelancer_bank_june.csv

Sample outputs

  • sample_output/bookkeeping_import.csv
  • sample_output/bookkeeping_ready_import.csv
  • sample_output/categorization_summary.html
  • sample_output/categorization_summary.json
  • sample_output/categorized_transactions.csv
  • sample_output/execution_manifest.json
  • sample_output/expense_summary_by_category.csv
  • sample_output/uncategorized_review.csv

Run example

bash
python3 tool.py --demo --output-dir sample_output

For a buyer file, pass the input file, config file, and output directory.

bash
python3 tool.py \
  --input /path/to/orders.csv \
  --config sample_config.json \
  --output-dir /path/to/generated-invoices

Outputs

  • Invoice HTML files per customer invoice
  • Invoice PDF files per customer invoice
  • invoices_summary.csv
  • run_report.json
  • A configuration file adjusted to the buyer's column names

Operating boundary

This is a deliverable local tool. Email sending, payment collection, accounting SaaS integration, and external uploads are not part of the default scope. A good buyer delivery includes sample data and a configuration file, while real data stays on the buyer's own computer.

Next improvements

  • Buyer-specific column mapping presets
  • Branded logo and payment note customization
  • Tax, discount, and shipping rule extensions
  • Additional summary report formats beyond PDF