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    <title>DEV Community: Julian Hayes</title>
    <description>The latest articles on DEV Community by Julian Hayes (@julian_hayes1234).</description>
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      <title>DEV Community: Julian Hayes</title>
      <link>https://dev.to/julian_hayes1234</link>
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    <item>
      <title>Automating Invoice PDF to CSV Conversion with Python</title>
      <dc:creator>Julian Hayes</dc:creator>
      <pubDate>Fri, 29 May 2026 10:05:12 +0000</pubDate>
      <link>https://dev.to/julian_hayes1234/automating-invoice-pdf-to-csv-conversion-with-python-3jpj</link>
      <guid>https://dev.to/julian_hayes1234/automating-invoice-pdf-to-csv-conversion-with-python-3jpj</guid>
      <description>&lt;p&gt;Managing invoices for freelance SEO projects can get repetitive fast, especially when you need to extract data manually into spreadsheets. I built a small Python script to automate converting invoice PDFs into CSV files for quick bookkeeping and reporting.&lt;/p&gt;

&lt;p&gt;Here’s the script:&lt;/p&gt;

&lt;p&gt;import pdfplumber&lt;br&gt;
import csv&lt;/p&gt;

&lt;p&gt;def extract_invoice_data(pdf_path):&lt;br&gt;
    with pdfplumber.open(pdf_path) as pdf:&lt;br&gt;
        text = ""&lt;br&gt;
        for page in pdf.pages:&lt;br&gt;
            text += page.extract_text()&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;# Simple parsing logic for common invoice fields
lines = text.split('\n')
data = {}

for line in lines:
    if ':' in line:
        key, value = line.split(':', 1)
        data[key.strip()] = value.strip()

return data
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;def save_to_csv(data, csv_path):&lt;br&gt;
    with open(csv_path, 'w', newline='') as csvfile:&lt;br&gt;
        writer = csv.DictWriter(csvfile, fieldnames=data.keys())&lt;br&gt;
        writer.writeheader()&lt;br&gt;
        writer.writerow(data)&lt;/p&gt;

&lt;h1&gt;
  
  
  Example usage
&lt;/h1&gt;

&lt;p&gt;invoice_data = extract_invoice_data('invoice.pdf')&lt;br&gt;
save_to_csv(invoice_data, 'invoice.csv')&lt;/p&gt;

&lt;p&gt;print('Conversion complete!')&lt;br&gt;
What it does&lt;br&gt;
Extracts text from invoice PDFs using pdfplumber&lt;br&gt;
Detects simple key:value invoice fields&lt;br&gt;
Saves structured data into a CSV file&lt;br&gt;
Best for&lt;br&gt;
Freelancers&lt;br&gt;
SEO agencies&lt;br&gt;
Small businesses&lt;br&gt;
Quick invoice processing tasks&lt;/p&gt;

&lt;p&gt;This works well for basic invoice layouts. For more complex invoices, regex patterns or OCR tools may be needed.&lt;/p&gt;

&lt;p&gt;If you’re processing large batches regularly, dedicated tools can save time, but for lightweight workflows this script has been pretty useful.&lt;/p&gt;

&lt;p&gt;What’s your preferred method for invoice data extraction?&lt;/p&gt;

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      <category>python</category>
      <category>seo</category>
      <category>ai</category>
      <category>programming</category>
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