<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MinerU on SoloSoft</title><link>https://www.solosoft.dev/es/tags/mineru/</link><description>Recent content in MinerU on SoloSoft</description><generator>Hugo</generator><language>es-es</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/es/tags/mineru/index.xml" rel="self" type="application/rss+xml"/><item><title>MinerU: Analisis de PDFs y Extraccion de Datos Open-Source</title><link>https://www.solosoft.dev/es/post/mineru-pdf-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/es/post/mineru-pdf-2026/</guid><description>&lt;p&gt;PDF is the universal format for document distribution, but it is arguably the worst format for data extraction. PDFs store visual layouts — coordinates, fonts, and rendering instructions — not semantic structure. Paragraphs, tables, lists, and headings exist only as visual arrangements of text fragments. Every developer who has tried to extract structured data from a PDF knows the frustration of losing table structure, mangled text order, and jumbled multi-column layouts.&lt;/p&gt;
&lt;p&gt;MinerU, developed by OpenDataLab, addresses this problem with a comprehensive open-source document parsing pipeline. It extracts text, tables, formulas, and images from PDFs with high structural fidelity, producing clean Markdown or structured JSON output. For organizations building RAG systems, knowledge bases, or data processing pipelines, MinerU fills the critical gap between raw PDF files and machine-readable content.&lt;/p&gt;</description></item></channel></rss>