AI Integration · Case study
AI-Based Bookkeeping Platform
Automated bookkeeping system using AI to process invoices from emails.
The challenge
Manual invoice processing was time-consuming and error-prone for accounting teams.
What I built
Built an AI-powered platform that automatically extracts invoice data from emails, processes PDFs with AI, and manages structured data through a user-friendly interface.
Results
- Automated invoice processing from emails
- AI-powered PDF data extraction
- Structured data management system
- Pattern matching for automated categorization
Tech stack
- Next.js
- n8n
- OpenAI API
- PostgreSQL
- PDF Processing
Code sketch
A simplified illustration of the core logic, not production code.
// AI Invoice Processing Pipeline
const processInvoiceEmail = async (emailData) => {
// Extract PDF attachment from email
const pdfBuffer = await extractPDFFromEmail(emailData);
// Use AI to parse PDF and extract structured data
const invoiceData = await openai.createCompletion({
model: "gpt-4",
prompt: `Extract invoice data from PDF: vendor, amount, date, items`,
file: pdfBuffer
});
// Structure the extracted data
const structuredData = {
vendor: invoiceData.vendor,
amount: parseFloat(invoiceData.amount),
date: new Date(invoiceData.date),
items: invoiceData.items,
category: await categorizeExpense(invoiceData.description)
};
// Save to database
await postgres.invoices.create(structuredData);
// Run pattern matching for auto-processing
const processedData = await runPatternMatching(structuredData);
return processedData;
};