<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Text-Extraction on Pi Stack</title>
    <link>https://www.pistack.xyz/tags/text-extraction/</link>
    <description>Recent content in Text-Extraction on Pi Stack</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Fri, 12 Jun 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://www.pistack.xyz/tags/text-extraction/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Self-Hosted Document Parsing &amp; Metadata Extraction Servers: Apache Tika vs GROBID vs CERMINE</title>
      <link>https://www.pistack.xyz/posts/2026-06-12-self-hosted-document-parsing-servers-tika-grobid-cermine/</link>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-06-12-self-hosted-document-parsing-servers-tika-grobid-cermine/</guid>
      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;When your organization handles thousands of documents — PDFs, Word files, scientific papers, spreadsheets — manually extracting text, metadata, and structured information becomes impossible. Document parsing servers automate this process at scale, turning unstructured files into searchable, analyzable data.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
