<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Baidu on SoloSoft</title><link>https://www.solosoft.dev/tags/baidu/</link><description>Recent content in Baidu 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/baidu/index.xml" rel="self" type="application/rss+xml"/><item><title>PaddleOCR: Baidu's Ultra-Lightweight OCR Toolkit with 80+ Language Support</title><link>https://www.solosoft.dev/post/paddleocr-ocr-toolkit-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/paddleocr-ocr-toolkit-2026/</guid><description>&lt;p&gt;PaddleOCR is Baidu&amp;rsquo;s industrial-grade, ultra-lightweight optical character recognition (OCR) toolkit built on the &lt;a href="https://github.com/PaddlePaddle/Paddle"&gt;PaddlePaddle&lt;/a&gt; deep learning framework. As one of the most popular open-source OCR projects on GitHub, PaddleOCR has evolved through multiple major versions &amp;ndash; now at PP-OCRv5 for text detection and recognition, PP-StructureV3 for comprehensive document parsing, and PP-ChatOCRv4 for LLM-powered document intelligence.&lt;/p&gt;
&lt;p&gt;What sets PaddleOCR apart is its combination of accuracy, speed, and breadth. The PP-OCRv5 model achieves state-of-the-art accuracy while maintaining a model size of under 15 MB for the full detection and recognition pipeline. Support spans over 80 languages, and the toolkit includes everything from text detection and recognition to document layout analysis, table extraction, and even LLM-based question answering over documents.&lt;/p&gt;</description></item></channel></rss>