<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Text Detection on SoloSoft</title><link>https://www.solosoft.dev/tags/text-detection/</link><description>Recent content in Text Detection on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/text-detection/index.xml" rel="self" type="application/rss+xml"/><item><title>Surya: Open-Source Multilingual OCR and Document Understanding</title><link>https://www.solosoft.dev/post/surya-ocr-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/surya-ocr-2026/</guid><description>&lt;p&gt;Optical Character Recognition is one of the oldest applications of computer vision, but traditional OCR engines have struggled to keep pace with modern demands. Documents today are more diverse in layout, multilingual in content, and variable in quality than ever before. &lt;strong&gt;Surya&lt;/strong&gt; represents a modern approach to OCR, built on deep learning architectures that handle the complexity of real-world documents with accuracy that traditional engines cannot match.&lt;/p&gt;
&lt;p&gt;Developed by the datalab-to team (the same group behind Marker), Surya is designed as both a standalone OCR system and a component for larger document processing pipelines. It provides three core capabilities: text detection (finding where text is on a page), text recognition (reading what it says), and layout analysis (understanding the document structure). The unified architecture means that a single model handles text across dozens of scripts and languages.&lt;/p&gt;</description></item></channel></rss>