<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Document Extraction Pipeline on Subhajit Bhar</title><link>https://subhajitbhar.com/tags/document-extraction-pipeline/</link><description>Recent content in Document Extraction Pipeline on Subhajit Bhar</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Subhajit Bhar</copyright><lastBuildDate>Sun, 08 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://subhajitbhar.com/tags/document-extraction-pipeline/index.xml" rel="self" type="application/rss+xml"/><item><title>What is a Document Extraction Pipeline?</title><link>https://subhajitbhar.com/blog/idp/glossary/document-extraction-pipeline/</link><pubDate>Sun, 08 Mar 2026 00:00:00 +0000</pubDate><guid>https://subhajitbhar.com/blog/idp/glossary/document-extraction-pipeline/</guid><description>&lt;p&gt;A document extraction pipeline is the end-to-end system that takes documents as input and produces structured, validated data as output — consistently, at volume, across varying document types and layouts.&lt;/p&gt;
&lt;p&gt;It&amp;rsquo;s what separates a working demo from a production system. A script that extracts data from one clean PDF is extraction logic. A pipeline is the architecture that makes that logic reliable, observable, and maintainable over time.&lt;/p&gt;</description></item></channel></rss>