How to Batch Convert PDF Invoices to Excel

If you work with invoices at any scale — whether you're a bookkeeper handling 50 client invoices a month or an AP team processing thousands — manual data entry is the bottleneck that kills your productivity.

This guide walks you through how to batch convert PDF invoices to Excel, covering both the web interface for occasional use and the API for automated workflows.

Why Batch Conversion Matters

The math is simple: if it takes 5 minutes to manually enter data from one invoice, processing 200 invoices per month costs you 16+ hours of work. That's two full days of billing time spent on copy-paste data entry.

Batch conversion using AI changes this completely. Instead of processing invoices one at a time, you upload a batch, the AI extracts all structured data simultaneously, and you get back a clean Excel file with every invoice's line items, totals, dates, vendor info, and tax amounts — all in the same consistent format.

What Gets Extracted from Invoice PDFs

When you convert an invoice PDF to Excel, a good AI extraction tool should pull out:

• Vendor information: Company name, address, contact details
• Invoice metadata: Invoice number, date, due date, payment terms
• Line items: Description, quantity, unit price, line total
• Totals: Subtotal, tax amount, discounts, total due
• Payment info: Bank details, payment method, PO number

The output is structured data you can immediately import into QuickBooks, Xero, or any accounting system — no cleanup required.

Method 1: Batch Convert via Web Interface

For accounting teams processing invoices weekly, the web interface is the fastest way to get started.

Step 1: Sign up for a free account

The free tier includes 50 conversions per month — enough for a small bookkeeping practice. No credit card required.

Step 2: Upload your invoice PDFs

Drag and drop multiple PDF files at once. You can upload an entire month's invoices in a single batch. Supported formats include PDF (native and scanned), PNG, JPG, and TIFF.

Step 3: Choose your output format

Select Excel (XLSX) to get a workbook with each invoice on its own sheet, or CSV if you're importing into a database. For accounting software integrations, JSON gives you the most structured output.

Step 4: Download and review

Processing typically takes under 3 seconds per invoice. The resulting Excel file has consistent column headers across every invoice, making it ready for pivot tables, reporting, or direct import.

Method 2: Automate with the API

If you're processing invoices on a schedule — daily from an email inbox, or triggered by an accounting system — the API is the right tool. The Ordalis API accepts PDF files via multipart/form-data and returns structured JSON, CSV, or Excel.

Python example: process a folder of invoices

import requests
import os

API_KEY = "your_api_key"
INVOICE_DIR = "./invoices/"

results = []

for filename in os.listdir(INVOICE_DIR):
    if filename.endswith(".pdf"):
        with open(os.path.join(INVOICE_DIR, filename), "rb") as f:
            response = requests.post(
                "https://ordalis-api.tyler-gee13.workers.dev/api/v1/convert",
                headers={"X-API-Key": API_KEY},
                files={"file": (filename, f, "application/pdf")},
                data={"output_format": "json"}
            )

        if response.status_code == 200:
            data = response.json()
            results.append({
                "filename": filename,
                "vendor": data.get("vendor_name"),
                "invoice_number": data.get("invoice_number"),
                "total": data.get("total_amount"),
                "date": data.get("invoice_date")
            })
            print(f"✓ Processed: {filename}")
        else:
            print(f"✗ Failed: {filename} — {response.status_code}")

# Write summary to CSV
import csv
with open("invoices_summary.csv", "w", newline="") as f:
    writer = csv.DictWriter(f, fieldnames=results[0].keys())
    writer.writeheader()
    writer.writerows(results)

print(f"\nProcessed {len(results)} invoices → invoices_summary.csv")

JavaScript example: process invoices from a Node.js script

const fs = require('fs');
const path = require('path');
const FormData = require('form-data');
const fetch = require('node-fetch');

const API_KEY = 'your_api_key';
const INVOICE_DIR = './invoices/';

async function processInvoice(filePath) {
  const form = new FormData();
  form.append('file', fs.createReadStream(filePath));
  form.append('output_format', 'json');

  const response = await fetch(
    'https://ordalis-api.tyler-gee13.workers.dev/api/v1/convert',
    {
      method: 'POST',
      headers: { 'X-API-Key': API_KEY, ...form.getHeaders() },
      body: form
    }
  );

  return response.json();
}

async function batchProcess() {
  const files = fs.readdirSync(INVOICE_DIR)
    .filter(f => f.endsWith('.pdf'));

  const results = await Promise.all(
    files.map(async (file) => {
      const data = await processInvoice(path.join(INVOICE_DIR, file));
      console.log(`✓ Processed: ${file}`);
      return { file, ...data };
    })
  );

  fs.writeFileSync('results.json', JSON.stringify(results, null, 2));
  console.log(`\nProcessed ${results.length} invoices → results.json`);
}

batchProcess();

Handling Different Invoice Formats

Real-world invoice batches are messy. You'll have invoices from hundreds of different vendors, each with their own layout, language, and structure. AI-powered extraction handles this better than template-based tools because it understands the meaning of the data, not just its position on the page.

Common scenarios the AI handles well:

• Multi-page invoices: Line items that span multiple pages are stitched together correctly
• Scanned invoices: OCR + structure detection combined for scanned documents
• Different currencies: Currency codes and symbols are preserved in the output
• International formats: Date and number formats vary by country — the AI normalizes these
• Handwritten or partially filled forms: Works on most standard formats

Importing the Output into Accounting Software

Once you have structured Excel or CSV output, importing into your accounting system is straightforward:

• QuickBooks: Use the CSV import for bills. Map columns to QuickBooks fields in the import wizard.
• Xero: Use the Xero CSV import format. The JSON output maps directly to Xero's field structure.
• Excel-based workflows: Use Power Query to transform the output and populate your own template.

Frequently Asked Questions

How many invoices can I process at once?

The web interface supports uploading multiple files at once. For the API, you can process files concurrently — Pro and Business plans include higher concurrency limits for faster batch processing.

What if an invoice doesn't extract correctly?

Check that the source file is a clear, high-quality PDF. For scanned documents, ensure they're at least 300 DPI. Contact support with the file for manual review if issues persist.

Can I automate this on a schedule?

Yes. Use the API with a cron job, AWS Lambda, or any scheduled task runner. The API returns structured JSON that you can process programmatically and pipe directly into your accounting system.

Does this work for invoices in other languages?

The AI primarily works with English-language documents. Support for additional languages is being added. For non-English invoices, results may vary by language and document complexity.