Convert invoice PDFs into monthly summaries

To convert invoice PDFs into monthly summaries, the process typically involves the following steps:

Step-by-Step Process

1. Extract Data from PDFs

Use a PDF parsing tool or library to extract invoice data:

• Tools:

  • Python libraries like PyPDF2, pdfplumber, or camelot (for tables).

  • OCR tools like Tesseract if the PDFs are scanned images.

Key fields to extract:

• Invoice Date

• Invoice Number

• Vendor/Client Name

• Line items (description, quantity, unit price)

• Total amount

• Tax/VAT (if applicable)

2. Parse and Organize Data

Once the raw text or tables are extracted, organize the data:

• Normalize dates to a standard format.

• Categorize data by month using the invoice date.

• Convert monetary values to a consistent format (e.g., USD).

3. Group by Month

Aggregate invoices by month:

• Sum total amounts.

• Count invoices per vendor/client.

• Generate totals by category if available (e.g., services, products, shipping).

4. Create Monthly Summary Report

Each summary can include:

• Total number of invoices

• Total amount invoiced

• Average invoice value

• Top vendors or clients

• Optional charts (if using Excel or visualization tools)

5. Export the Summary

Options include:

• CSV or Excel format

• JSON for integration

• Display in a web dashboard (if building a tool)

Tools You Can Use

Example Python Workflow (Simplified)

python
CopyEdit
import pdfplumber
import pandas as pd
from datetime import datetime
import os

data = []

for file in os.listdir("invoices/"):
    if file.endswith(".pdf"):
        with pdfplumber.open(f"invoices/{file}") as pdf:
            text = pdf.pages[0].extract_text()
            # Extract relevant fields using regex or line parsing
            date = extract_date(text)
            total = extract_total(text)
            data.append({"file": file, "date": date, "total": total})

df = pd.DataFrame(data)
df['month'] = pd.to_datetime(df['date']).dt.to_period('M')
monthly_summary = df.groupby('month')['total'].sum()
print(monthly_summary)

Advanced Features (Optional)

• Auto-detect currency and convert

• Tag invoices by expense type

• Identify duplicates

• Add error-handling for unreadable PDFs

Let me know if you’d like a ready-to-run script, or if you’re dealing with a specific invoice format — I can tailor it.