<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Document AI on Subhajit Bhar</title><link>https://subhajitbhar.com/tags/google-document-ai/</link><description>Recent content in Google Document AI on Subhajit Bhar</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Subhajit Bhar</copyright><lastBuildDate>Wed, 11 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://subhajitbhar.com/tags/google-document-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Google Document AI Alternatives</title><link>https://subhajitbhar.com/blog/idp/google-document-ai-alternatives/</link><pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate><guid>https://subhajitbhar.com/blog/idp/google-document-ai-alternatives/</guid><description>&lt;p&gt;Google Document AI is Google Cloud&amp;rsquo;s managed document processing service. It uses OCR and machine learning to extract structured data from PDFs, images, and forms. For teams already in the GCP ecosystem, it&amp;rsquo;s a natural starting point — strong table parsing, solid form extraction, and tight integration with BigQuery and Cloud Storage. Gemini integration extends it to unstructured text where rule-based extraction would otherwise struggle.&lt;/p&gt;</description></item></channel></rss>