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    <title>DEV Community: Victor Feitosa</title>
    <description>The latest articles on DEV Community by Victor Feitosa (@greypv).</description>
    <link>https://dev.to/greypv</link>
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      <title>DEV Community: Victor Feitosa</title>
      <link>https://dev.to/greypv</link>
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    <item>
      <title>I built a Python tool that extracts tables from PDFs and exports to Excel automatically</title>
      <dc:creator>Victor Feitosa</dc:creator>
      <pubDate>Sat, 16 May 2026 23:51:29 +0000</pubDate>
      <link>https://dev.to/greypv/i-built-a-python-tool-that-extracts-tables-from-pdfs-and-exports-to-excel-automatically-3gaj</link>
      <guid>https://dev.to/greypv/i-built-a-python-tool-that-extracts-tables-from-pdfs-and-exports-to-excel-automatically-3gaj</guid>
      <description>&lt;p&gt;Every week I saw the same thing at work: someone opening a PDF, manually copying a table into Excel, cell by cell. 30 minutes of work that should take 2 seconds.&lt;/p&gt;

&lt;p&gt;So I built a tool to fix it.&lt;/p&gt;

&lt;h2&gt;
  
  
  What it does
&lt;/h2&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;python extract_tables.py financial_report.pdf
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;That's it. You get a formatted &lt;code&gt;.xlsx&lt;/code&gt; file with every table from the PDF, organized into separate sheets with styled headers, alternating rows, and auto-fitted columns.&lt;/p&gt;

&lt;h2&gt;
  
  
  The tech stack
&lt;/h2&gt;

&lt;p&gt;Three libraries. That's all:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;pdfplumber&lt;/strong&gt; — opens the PDF and extracts table data page by page&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;pandas&lt;/strong&gt; — structures the raw data into DataFrames&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;openpyxl&lt;/strong&gt; — writes to Excel with formatting&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;No OCR. No Java. No external APIs. Pure Python.&lt;/p&gt;

&lt;h2&gt;
  
  
  The core extraction — 15 lines
&lt;/h2&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;pdfplumber&lt;/span&gt;
&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;pandas&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="n"&gt;pd&lt;/span&gt;

&lt;span class="k"&gt;def&lt;/span&gt; &lt;span class="nf"&gt;extract_tables_from_pdf&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;pdf_path&lt;/span&gt;&lt;span class="p"&gt;):&lt;/span&gt;
    &lt;span class="n"&gt;results&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="p"&gt;[]&lt;/span&gt;
    &lt;span class="k"&gt;with&lt;/span&gt; &lt;span class="n"&gt;pdfplumber&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;open&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;pdf_path&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="n"&gt;pdf&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;
        &lt;span class="k"&gt;for&lt;/span&gt; &lt;span class="n"&gt;page_num&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;page&lt;/span&gt; &lt;span class="ow"&gt;in&lt;/span&gt; &lt;span class="nf"&gt;enumerate&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;pdf&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;pages&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;start&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="mi"&gt;1&lt;/span&gt;&lt;span class="p"&gt;):&lt;/span&gt;
            &lt;span class="n"&gt;tables&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;page&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;extract_tables&lt;/span&gt;&lt;span class="p"&gt;()&lt;/span&gt;
            &lt;span class="k"&gt;for&lt;/span&gt; &lt;span class="n"&gt;t_idx&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;raw_table&lt;/span&gt; &lt;span class="ow"&gt;in&lt;/span&gt; &lt;span class="nf"&gt;enumerate&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;tables&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;start&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="mi"&gt;1&lt;/span&gt;&lt;span class="p"&gt;):&lt;/span&gt;
                &lt;span class="n"&gt;header&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;raw_table&lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="mi"&gt;0&lt;/span&gt;&lt;span class="p"&gt;]&lt;/span&gt;
                &lt;span class="n"&gt;rows&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;raw_table&lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="mi"&gt;1&lt;/span&gt;&lt;span class="p"&gt;:]&lt;/span&gt;
                &lt;span class="n"&gt;df&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;pd&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nc"&gt;DataFrame&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;rows&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;columns&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="n"&gt;header&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
                &lt;span class="n"&gt;results&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;append&lt;/span&gt;&lt;span class="p"&gt;({&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;page&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="n"&gt;page_num&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;table_index&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="n"&gt;t_idx&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;dataframe&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="n"&gt;df&lt;/span&gt;&lt;span class="p"&gt;})&lt;/span&gt;
    &lt;span class="k"&gt;return&lt;/span&gt; &lt;span class="n"&gt;results&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;pdfplumber does the heavy lifting. It detects table boundaries from the PDF's internal structure — no guessing, no heuristics for basic cases.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why it's useful for real work
&lt;/h2&gt;

&lt;p&gt;PDF reports are everywhere: government data, supplier invoices, financial statements, logistics documents. Most of them have tables. None of them are easy to work with.&lt;/p&gt;

&lt;p&gt;This tool is for the analyst who gets a 20-page PDF every Monday morning and needs the data in Excel by 9am.&lt;/p&gt;

&lt;h2&gt;
  
  
  Get the full code
&lt;/h2&gt;

&lt;p&gt;GitHub: &lt;a href="https://github.com/YOUR_USERNAME/pdf-to-excel" rel="noopener noreferrer"&gt;github.com/YOUR_USERNAME/pdf-to-excel&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Includes the full CLI script, a sample PDF generator for testing, and instructions to run it in under 2 minutes.&lt;/p&gt;

&lt;h2&gt;
  
  
  What's coming next
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Batch mode for processing multiple PDFs at once&lt;/li&gt;
&lt;li&gt;Streamlit UI for non-technical users&lt;/li&gt;
&lt;li&gt;OCR support for scanned PDFs&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;This is part of a Python automation toolkit I'm building in public. If you work with PDFs regularly, try it and let me know what breaks — real-world PDFs are always messier than test cases.&lt;/p&gt;

</description>
      <category>python</category>
      <category>automation</category>
      <category>productivity</category>
      <category>opensource</category>
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